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Machine Learning: Guardian of Cloud Data Protection

Data is knowledge and knowledge is power. In the progression of digitization, the amount of data that companies process daily is growing progressively. This is also reflected in the increased use of cloud applications in recent years.

 

Corporate data is accessible around the clock, enabling efficient workflows and, at least at first glance, less administrative operating cost for the IT department. However, for organizations, this outcome is only brought into perspective when they consider cloud usage for the security or their data. The associated risks and new threats require advanced and secured technologies to ensure the protection of corporate data.

 

Malware Threat – Target to Cloud Data 

 

As the currency of the digital age, the growing amount of data in the cloud has long since become a remarkably attractive target for hackers. A frequently used attack vector is currently the introduction of malware into cloud applications via social engineering, for example through spear phishing attacks. Securing data in cloud applications is still largely left to users. While some public cloud providers provide few basic protections to detect threats in the cloud. However, as the results of a recent Bitglass experiment have shown, their effectiveness is limited: as part of their current security study – tracking cloud infection- the Bitglass Threat Research team tested integrated malware protection of the popular enterprise cloud such as Google Drive and Microsoft Office 365 cloud applications. In collaboration with Cylance, it used a previously unknown form of ransomware called Shurl0ckr, a variant of Goijdue malware. ShurL0ckr is ransomware-as-a-service, meaning the hacker generates a ransomware payload and distributes it via phishing or drive-by-download to encrypt files on disk in a background process until a Bitcoin ransom is paid. Although the malware protection of Google and Microsoft already knew the related Gojdue ransomware, both applications did not recognize Shurl0ckr as malware. In the case of an unknown threat, the protective mechanism has failed.

SaaS apps contained malware

Many anti-malware mechanisms are still reactive and detect malware based on file properties stored in a database. The whole thing has to be something like a puzzle game: the malware protection checks whether the new malware fits into an existing puzzle game. In the present case it was like a puzzle piece where an edge or corner was slightly changed. Since it did not fully fit the existing “malware template”, it was considered safe, although it would have met the majority of the necessary properties. In the long run, if organizations won’t consider a security approach for this progressive professionalization of cybercriminals they risk having ever more sophisticated attacks.

 

Agile protection of cloud data with machine learning

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Many roads lead to the cloud – and there are many ways to inject and distribute malware. The multiplicity of users and accessibility, as well as increasingly sophisticated security threats, require a dynamic security approach that can make a far-reaching risk assessment and automatically apply appropriate policies. Machine Learning is currently the most effective approach to effectively protecting enterprise data on and off the cloud.

 

Machine learning algorithms are already being used in speech recognition software or in ERP systems for managing data. This technology is now also finding its way into cloud security solutions, such as Cloud Access Security Broker. Instead of risk assessing traditional signature-based solutions built solely on specific data profiles, machine learning uses in-depth property and behavior analysis and makes a decision that automatically applies the implemented policies. If a file is considered a likely threat, it can be blocked if users attempt to upload it to the cloud or download it to a device. In this way, Machine Learning provides a holistic approach to enterprise data across all enterprise cloud applications and provides advanced threat control capabilities.

 

For example, if a user downloads a malware-infected file from a Web site, saves the file to the cloud and creates a potential corporate vulnerability, it will be automatically detected and marked. Machine learning solutions continuously monitor all files and applications in the cloud. They automatically check every upload and download of files for malware. Once the malware risk has been reported through machine learning protection and eliminated by the security team, the solution automatically grants users full write access. In this way, the solution provides security, but at the same time ensures a high degree of user-friendliness, since no interruption of the work processes is required.

 

Data-driven cloud guard

 

For cloud applications, machine learning algorithms are ideal, since large amounts of data are the most important prerequisite for their reliability. Most algorithms do not operate data-efficiently if only a small amount of data is available, they lack the necessary experience, in a specific case to make the right decision and to apply the appropriate directive. People only need to look at an object once – for example, a laptop – in order to be able to recognize it as such in the future in a modified form. Machines, on the other hand, require a wealth of experience, that is, dealing with many laptops in order to reliably identify. For example, machine learning solutions that receive less data are not as “intelligent” as solutions that handle a high volume of data from different environments. The more files that are analyzed and the more malware detected, the better the accuracy.

 

Thus, the use of machine learning marks the logical response to the growing amount of data and the changing security situation through cloud usage. Likewise, the automation of security mechanisms is the next step in the digitization process.

 

While malware is not a new threat, many companies fail to defend against its modern forms; relying solely upon endpoint or native cloud security is no longer adequate. Organizations must now adopt cloud solutions that defend against known and unknown malware as they are uploaded to applications, downloaded to devices, and resting in the cloud.

Most Common Hacking Techniques Used by Cyber Criminals

In 2017, the world went head over heels: several cyberattacks caused billions of dollars worth of damage. Global market leaders and global logistics giants first became aware of security vulnerabilities in their systems and the vulnerability of their Operational Technology (OT). NotPetya and Petya, WannaCry and the Industry malware have shown that no industry is immune to serious attacks.
Fixing known IT vulnerabilities should be a standard practice in business – but often it is not. The processes between IT security and IT operations do not always work smoothly. If and when patching, no one is subjected to control. And then it happens: Malware spreads in minutes across the world, business processes come to a standstill and companies are overnight in the focus of international coverage. It “burns” from now on equal to an unknown extent.

 

Cybercrime is becoming an increasingly profitable business through automated and low-budget tools used by hackers. For example, a research conducted by IBM shows that global cost of data breach only in 2017 was $.141 million.The success of companies, in nowadays digital competitive era, depends on smoothly functioning IT systems. But new methods of attack require flexible, reliable protection measures. What precautions the seven most common attack techniques fend off, shows this article.

 

 

Widespread networking and digitization enable malicious attacks in a new dimension by exposing applications, business data, operational infrastructures, and the reputation of even well-known global companies. Hence, some IT security officers and board members had to take their hat off because of serious incidents. The cybercrime challenge is often intensified by reduced IT budgets and resources. Many organizations are no longer equal to today’s onslaught of cyber-attacks.

 

Recent attacks

 

Although cloud-based applications offer many business benefits, they also create a wealth of complex challenges and new risks. Hackers feel at ease in this fast-paced, ever-evolving environment. Often, they fool the attack on a specific target – and strike in a completely different place. To do this, they use seven techniques to cause maximum disruption and maximize their profit. These are malicious bots, web fraud, phishing, malware, DDoS, credential stuffing and ransomware.

 

  • A malicious bot is a malware designed to steal information or infect a host which is often used well before the actual attack. It helps to later distribute the malicious code or is part of an exploit kit. According to Verizon’s latest Data Breach Investigations Report, botnet attacks were used in 77% of web application security breaches. Click here to read 5 top botnets attacks of 2017.

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  • Web-based attacks are those that make use of web-enabled systems and services such as browsers and their extensions, websites including CMS and the IT-components of web services and web applications. In this type of fraud, hackers often resort to man-in-the-browser injection and distribute a trickbot via phishing, drive-by-download or SMB ports. Then a Java script is inserted into the e-commerce or banking pages in the user’s browser. This way, attackers gain credentials and can rob bank accounts.

 

 

  • Phishing email messages, websites, and phone calls are designed to steal money. Cybercriminals can do this by installingmalicious software on your computer or stealing personal information off of your computer or trick their victims into clicking on a link that infects their system with malware. Alternatively, the link points to a fake website that steals personal information. Last year the total share of spam, only in mail traffic, was 56.63%.

 

 

  • In Credential stuffing type of hacking, hackers secure user credentials by breaching a system, and then attempts to use those credentials with other systems by using automated tools. Users who use same passwords for different accounts and use multiple times are likely to have their credentials stolen.

 

 

  • DDoS attacks range from a reckless prank to targeted actions for protest or revenge, to theft or blackmail. Ransomware is also a major problem here, encrypting the victim’s data and demanding ransom for decryption. Attackers often use easy-to-access DDoS tools that interfere with service availability and enterprise performance. There are currently four major attack types: TCP Connection Attacks, Volumetric Attacks, Fragmentation Attacks, Application Attacks. The most dangerous DDoS techniques combine volumetric attacks with targeted, application-specific attacks.

 

 

Possible Countermeasures

 

To guard against these attack techniques, security experts recommend a robust Web Application Firewall (WAF) as a safeguard against cyber-attacks. A modern WAF allows the victim an offensive counter-stroke with sophisticated bot detection and prevention. This is crucial because most attacks are started by automated programs. A WAF assists the security team in identifying login attempts that are not made through a browser. It analyzes the behavior and takes into account factors such as the location of the IP address, the time of day and the number of connection attempts per second.

WEB APPLICATION FIREWALL

With the right WAF solution, your organization gains a multilayer defense that uses both direct and indirect methods for preventing and mitigating bot damage:

  • Direct: The direct method works by actually detecting and responding to bad bots using threat intelligence and bot classic cation for newly discovered bots.
  • Indirect: Indirect protection mitigates or thwarts the actions of bots (e.g. account takeovers), without having to actually detect the bot itself. A combination of both delivers comprehensive protection of your enterprise’s critical web assets.

 

Also important: The data in the browser and in the mobile application must be encrypted throughout. Then the information remains protected during both use and transmission, and each interception attempt yields unreadable data. As an added security measure, encryption of the form parameters on the client side can be enforced. Automated tools for credential stuffing then have difficulty completing the login page correctly. When the bots provide unencrypted credentials, a system alert is triggered informing the security team that a credential stuffing attack is taking place.

In addition, companies should define policies that allow users to change their passwords on a regular basis and report potential incidents and attacks to the IT department. This is true even on suspicion that you have just clicked on a malware link or received a phishing email.

 

Conclusion

In the race between companies and cybercriminals, a fast and reliable detection of threats is crucial. Greater transparency, context knowledge and control are therefore essential for the protection of infrastructures, applications and sensitive data. Companies need to adapt their strategy to protect applications with modern security tools and focus their resources on warding off attacks by malicious hackers. Only then will your business run smoothly, quickly and safely.

Cyber ​​Security Predictions- What to Expect in 2018

It is well known that the fourth industrial revolution opens up a multitude of new business opportunities. In parallel, the danger for cyber-attacks is also increasing. It is important that companies prepare for it.

Not only should they think about security solutions directly when planning IT technology, but they should also develop a keen awareness of the corporate culture for security – which requires significant investment. According to estimates by Gartner, security spending for 2018 will continue to rise sharply globally, reaching $ 93 billion. For the coming year, this means that Cyber Security will capture some of the key trends.

 

IT security experts are still in demand

 

As technology evolves, security expertise needs to adapt to changing needs. The challenge is to train cybersecurity specialists to acquire and develop the skills they need as quickly as possible. According to the Cyber Security Ventures Report, it is predicted that there will be around 3.5 billion unfilled cybersecurity jobs by 2021. The responsibility lies in the hands of governments, universities, schools, and companies to meet this need.

 

Protection and resilience

 

In this day and age, it is difficult to completely avoid security gaps. Therefore, you shouldn’t just ignore them, but make appropriate arrangements. As a result of this development, the resilience of the IT infrastructure will become more of a focus, and not just prevention alone. For companies, it is important to talk openly about their own weak points, to raise awareness and to show responsibility. Funds currently used to prevent cyber-attacks may need to be redistributed to detect security threats in time and to remain operational in the event of an attack.

 

Next-generation security solutions are driven by digital ecosystems

 

In IOT hype era, the protection of customer data becomes more and more important. Vulnerabilities exposing sensitive data can have serious consequences as companies will be held accountable for personal data in the future. This ownership is a major challenge for companies, and the responsibility to ensure a degree of security for their users lays on technology manufacturers. As the need for cybersecurity solutions and regulations grows, companies need to develop appropriate strategies to minimize any risk. These strategies should not only meet today’s expectations but also incorporate new business models promoted by new technologies.

 

Cyber-attacks increasingly sophisticated

 

Of the e-mails received, around 70% are spam and the majority of them contain phishing messages. Other known threats include rogue Trojan horses, malware or distributed denial-of-service (DDoS) attacks. Over the past few months, they have led to massive data loss and continued to make company or customer data vulnerable to cybercriminals. With 93% of the attackers, the money is in the center. Hackers try to gain the highest possible profit through simple tricks and are often successful in smaller companies with inadequate security solutions.

 

New technologies: a blessing and a curse at the same time

 

Innovative technologies enable cybercriminals to use sophisticated methods for their attacks. But these innovations can also help build and reinforce defense and protection against hackers. A major threat, for example, comes from artificial intelligence (AI) applications. However, AI can also be used to detect potential risks faster. How important AI is for IT security is an outlook on the global market for artificial intelligence solutions: according to a recent study, it will grow to $ 18.2 billion by 2023. Likewise, the Internet of Things, with an estimated circulation of 22.5 billion networked items, is both a driver of innovation and a door opener for increased threat potential, according to a Business Insider platform report. On the one hand, security becomes a challenge, but on the other hand, the data generated by Internet-enabled devices can help detect breaches early.

 

The focus is on vertical industries

 

While cyber attacks affect all sectors of the economy, there are still some key sectors that are likely to be particularly vulnerable to cyber attacks:

 

  • The Financial Sector, BFSI: (Banking, Financial Services and Insurance): The BFSI sector is under increasing pressure. This is due to competitors with digital assistances and the constant pressure to modernize their existing systems. The value of customer data is increasing as customers demand more comfortable and personalized service. Nevertheless, trust remains crucial. According to a recent study, about 50% of customers in the UK would change banks as a result of a cyber-attack, while 47% would completely lose confidence. Large-scale cyber-attacks have already left a large number of banks victims of a hacker attack. This shows that the sector has to adapt to these risks. So, it’s important that banks invest more in security solutions to ensure 24/7 protection.

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  • Healthcare: More and more patient is having digitized medical records. In addition, artificial intelligence and web-enabled devices will increase the speed of diagnosis and improve patient care. However, the integration of personal data and Internet-enabled devices also involves risks. Earlier this year, Experian predicted that the healthcare sector would be the most affected market by cyber-attacks, as some examples have already shown. This means that the health sector should similarly invest in risk analysis as the banking sector. In addition, the implementation of industry-wide standards is needed.

 

  • Retail: In the retail market, customized shopping experiences are becoming increasingly important, so data analysis tools help retailers implement them. However, there is also a great responsibility to protect this data, which can include more than just shopping habits and login data, but also account details and addresses. Thanks to Internet technologies, augmented reality and face recognition, the shopping experience is becoming increasingly networked, but here, too, stronger networking also entails a greater risk of data loss. Therefore, the creation of a resilient strategy approach is also crucial for the retail sector.

 

  • Telecommunications: Telecommunications companies as Internet service providers are among the industries that are at increased risk for cyber-security. They should include security measures in network infrastructure, software, applications and endpoints to minimize the risk of customer vulnerabilities and data loss. Nowadays, consumers are increasingly wondering who they entrust their data to. For service providers, this is a good opportunity to provide additional security services. In addition, a collaboration between competitors may increase cyberattack resilience.

 

What does this mean for the year 2018?

 

Overall, it can be seen that companies in all industries, as well as individuals, need to improve their cybersecurity awareness, identify the risks, and take appropriate countermeasures. Key competitive advantages are companies investing in security solutions. At the same time, cyber-security must also become an issue for state governments and at the international level where laws and regulations must be adapted accordingly. In addition, governments must invest in training and education or disclosure of cyber-threat threats.

Major challenges that hold back the Digital Transformation

digital transformation

The digital transformation is progressing incessantly – and that’s a good thing. Because IDC predicts that by 2019, all digitally transformed companies will achieve at least 45% of their revenue with business models such as “Future of Commerce”. At the same time, digitization is posing a major challenge for many companies.

 

At the same time, the IT department is experiencing the greatest change: It has long stopped to be just a supplier of technical solutions (hardware and software), but a comprehensive service provider, which struggles on the one hand for the running of IT systems and applications and, on the other hand, as a full-range supplier IT-based business processes. This means that the demands on IT departments continue to rise. But what are the aspects that make it so difficult for companies? Here below are listed four main challenges that IT has to overcome in the development of digitization:

 

    1. Massive Blockage

Already, IT departments are under enormous pressure: There is much more work for them than a team can do. In a recent study involving 3,200 IT professionals, 62% of IT managers say that they are facing a major backlog of mobile applications. In some cases, there are ten or more apps waiting to be developed.

 

    1. Old-school Systems

Rigid, out-of-date enterprise software not only consuming a lot of resources in companies, but companies also invest 70 to 80% of their IT budget for the maintenance and further development of rigid back-office systems. In addition, these systems are difficult to integrate or adapt when it comes to supporting new digital initiatives. Slow development methods in combination with legacy systems have aggravated the problem.

 

    1. Scarce Resources

To successfully implement digital initiatives, companies need specific technical skills. Many companies do not have them. Therefore, they invest a great deal of time and effort in training or in recruiting the employees with the required skills. Or they try to fill in gaps by outsourcing individual projects. In addition, there are the high costs for a developer – about 140 euros per hour. Accordingly, the ability for companies to fill these gaps is very costly, time-consuming – or at worst both.

 

    1. Uncertainty

For many companies, digital transformation (if it’s truly transformative) is so challenging because it requires real innovation and a different way of thinking. Processes, business models, service offerings – all these aspects have to be completely rethought by companies. And the acceptance by customers or partners is not yet foreseeable. In other words, this condition is miles away from the security of cumulative and linear business improvement. To face such uncertainty is problematic for many businesses. Businesses need to be prepared for new methods throughout the development lifecycle. Risk avoidance and business case prioritization are out; Approaches like “Design Thinking”, “Lean Startup” and “Test and Learn” are in.

 

Further information:

 

How can companies effectively address these four challenges in order to successfully advance the digital transformation in their organization? The answer to this question is provided by various experts in the international webinar series “Leading Digital Transformation”. The speakers of the different webinars are among these:

 

  • Jason Bloomberg, President of Intellyx and Forbes employee
  • Brian Roche, Vice President of Products at Cognizant Digital Business
  • Rick Virmani, Systems Manager, City of Las Vegas, Nevada
  • Mike Hughes, Director of Product Marketing at OutSystems

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The webinar series starts on April 16th.

 

If you are interested in following these webinars, click here and register for free of charge. You’ll also find a number of informative e-books on digital transformation.

Human Machine Partnership – Is 2018 the year of #MachineLearning?

Human Machine Partnerships2018 is all about the further rapprochement of man and machine. Dell Technologies predicts the key IT trends for 2018. Driven by technologies such as Artificial Intelligence, Virtual and Augmented Reality and the Internet of Things, the deepening of cooperation between man and machine will drive positively the digitization of companies. The following trends will and are shaping 2018:

 

Companies let AI to do data-driven thinking

 

In the next few years, companies will increasingly use the opportunity to let artificial intelligence (AI) think for themselves. In the AI systems, they set the parameters for classifying desired business outcomes, define the rules for their business activities, and set the framework for what constitutes an appropriate reward for their actions. Once these sets of rules are in place, the AI systems powered by data can show new business opportunities in near real time.

 

The “IQ” of objects is increasing exorbitantly

 

Computing and networking items over the Internet of Things are becoming increasingly cost effective. The embedding of intelligence into objects will therefore make gigantic progress in 2018. Networked device data, combined with the high levels of computing power and artificial intelligence, will enable organizations to orchestrate physical and human resources automatically. Employees are becoming “conductors” of their digital environments and smart objects act as their extension.

 

IQ of Things

 

AR headsets ultimate comeback in 2018

 

Its economic benefits have already been proven by augmented reality (AR). Many teams of designers, engineers or architects are already using AR headsets. Whether to visualize new buildings, to coordinate their activities on the basis of a uniform view of their developments or to instruct new employees “on the job” even if the responsible instructor cannot be physically present at the moment. In the future, AR will be the standard way to maximize employee efficiency and leverage the “swarm intelligence” of the workforce.

 

AR headsets

 

Strong bond of customer relationship

 

Next year, companies will be able to better understand their customers through predictive analytics, machine learning (ML), and artificial intelligence (AI) and use these technologies to improve their customer first strategies. Customer service will perfectly maintain the connection between man and machine. It will not be first-generation chatbots and pre-made messages that address customer concerns in the service, but teams of people and intelligent virtual agents.

 

Deeper Relationship with Customers

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The “Bias Check” will be the new spell checker

 

Over the next decade, technologies such as AI and Virtual Reality (VR) will enable those responsible to evaluate information without prejudgment and make decisions in an entirely balanced way. In the short term, AI will be used in application and promotion procedures to bring out conscious or unconscious prejudices. VR is increasingly being used as an interviewing tool to cover the identity of applicants with the help of avatars. “Bias checks” – “prejudice checks” – could become the standard procedure in decision-making processes in the future, just as spell-checking is today when it comes to writing texts.

 

Bias check

 

The mega-cloud is coming up

In 2018, an overwhelming majority of companies will adopt a multi-cloud approach and combine the different cloud models. To overcome the associated cloud silos, the next step will be the mega-cloud. It will interweave the different public and private clouds of companies in such a way that they behave as a single holistic system. With the help of AI and ML, this IT environment will be fully automated and consistently evaluated.

 

mega-cloud

 

IT security is becoming more important than ever

 

In today’s increasingly connected world, IT security companies need more than ever to rely on third parties. They are no longer individual instances, but parts of a bigger whole. Even the smallest errors in any of the connected subsystems can potentiate to fatal failures in the entire ecosystem. In particular, for multinational corporations, it’s a must in 2018 to prioritize the implementation of security technologies. This development is further fueled by new regulations, such as the GDPR regulation of the EU.

 

 

E-sports gaming industry ready for mainstream

 

Not least driven by virtual reality, the phenomenon of e-sports for companies in the media and entertainment industry 2018 finally become a fixture. Millions of other players and viewers are jumping on the bandwagon and making continuity e-sports mainstream for 2018. This phenomenon is representative of a bigger trend: even original physical activities such as sports are digitized. In the future, every business will be a technological business, and people’s free time will be shaped by networked experiences.

 

“People have been living and working with machines for centuries,” says Dinko Eror, Senior Vice President and Managing Director, Dell EMC Germany. “In 2018, however, this relationship is reaching a whole new level: man and machine will be more intertwined than ever, and that will change everything – from the way we do business to the design of leisure and entertainment.”

GDPR – What impact will the new #DataRegulation have on the Hotel Industry?

DATASECURITY

Indispensable for reservations and booking, hotels handle large amounts of personal data that need special protection. The hotel must ensure customers are aware of the particular uses of their data. GDPR legislation brings in a large number of transformations. Here below is a brief overview of the challenges that will have to be faced by the various players in the sector.

 

In 2014, the computer security company Kaspersky revealed to the general public the hacking campaign “Dark-hotel” developed in luxury hotels. By penetrating Wi-Fi networks, sensitive data has been robbed via devices of senior executives while they were on a business trip. More recently, in January 2017, an Australian hotel was hit by ransomware. With the possession of the electronic key system, the hackers had locked hotel’s customers in their rooms, forced to pay $ 1,500 in bitcoins on the Dark-web, a price for opening the room’s door.

 

In addition to all other industries, the hotel industry is exposed, as well, to a major challenge: ensuring the security of personal data while dealing with cybercrime. In this perspective, the European Union has adopted the General Regulation on the Protection of Personal Data (RGPD) which is mandatory form from May 25, 2018.

* GDPR is a regulation to strengthen and unify data protection for individuals within the European Union.

 

It redefines the protection of individuals by protecting their personal data with a number of major provisions. Fully concerned, the hotel industry has only two months to anticipate these new obligations in order to strengthen their data protection system.

 

Hoteliers must take responsibility

 

Today, the concerned actors are not aware of the risks essential to personal data and the strict responsibilities upon them. Indeed, the hoteliers have in their hands a colossal amount of personal data that customers entrust fairly easily to the detour of a few clicks.

Customers are invited to book by sharing several private data (full name, postal address, email, credit card information, date of birth). Once the reservation is made, a contract of trust is established between the customer who shared his personal data and the hotel which has the heavy responsibility to protect them.

 

In this logic of responsibility, this need for data protection and integrity naturally extends to service providers, partners and subcontractors (Booking Center, Concierge Services, etc.) to whom the obligations regarding security and confidentiality will have to be met, to be strengthened and clarified. It is easy to understand the impact that any flaw in the concierge service would generate by disclosing the habits and sensitive data of its customers and distinguished guests.

 

According to travel statistics, 93% of customers goes online to find and book a hotel. Taking the example of the Booking.com platform, the industry leader, the client communicates all its personal information which will then be transmitted directly to the hotel. In 13% of cases, this data will be sent by fax which, poorly preserved, can generate a risk for the individual in case of fraudulent use.

 

The penalties for not complying with GDPR are large, at a financial cost of up to €20 million or 4% of worldwide annual turnover (whichever is greater), not to mention the potential reputational cost to a business in the hospitality industry. Even more prejudicial, the contract of trust with customers would be particularly weakened with a reputational risk with serious consequences for the hotel.

 
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Six urgent measures to take

 

It is security that must adapt to the customers and not the other way around. Securing data is a major issue that hotels must prepare to ensure a level of security adapted to maintain and strengthen this relationship of trust between customers and hoteliers.

For that, several challenges will have to be raised by the various actors of the sector:

 

Data mapping: Hotels need to complete a data mapping process to become aware of what data is captured, where its stored, and how it is used before it can begin the process of how to protect and monitor it moving forward. A data mapping process helps to react effectively in case of violation.

 

IT and Security assessment: After data mapping process, the hotel’s hardware and software applications should be reviewed along with hard copy files. A series of encryption codes, pseudonymization techniques, passwords or limitations on access may need to be implemented to protect access and the integrity of the data.

 

Data protection officer: Designate the data protection officer, guarantor of the data protection structure with the responsibility to review the access, archiving, transfer and data protection processes. Data protection officers are responsible for overseeing data protection strategy and implementation to ensure compliance with GDPR requirements.

 

Cleaning up data records: Deleting isn’t required but validating the data that is a must. In this process, a hotelier must reach out to customers to inform them of the new policies and to verify their data and its uses. Document all standard operating procedures and invest in training of all relevant staff members to ensure they have a thorough understanding of the new procedures and the implications of the regulation. Analyze the risks of impacts by assessing the risk of disclosure of personal data by system.

 

Raise awareness and train internal staff: Maintaining GDPR awareness with staff is an ongoing process. Management should provide regular refresher training for all staff to ensure an awareness culture exists to protect against possible breaches.

 

Third party partners: Review contracts with existing partners, contractors and subcontractors to ensure integrity throughout the data cycle. A major change due to GDPR is that data processors are captured by the regulations as well as data controllers.

 

Taking the example of the “ransomware” of the Austrian hotel, It is a call for accountability and awareness for the hospitality industry that requires concrete actions to meet the challenges. This will fully fulfill the contract of trust to the customer by ensuring protection of their data.

Enterprise Endpoint Security – Rules to Protect from Advanced Malware and Security Breaches

Businesses struggle to protect themselves from security breaches. They implement various security tools and solutions to protect their networks, applications, clouds, and endpoints. They strive to comply with regulations. Their security teams are combing seemingly endless security alerts. Nevertheless, there is a steady increase in successful cyber attacks. Palo Alto Networks, Gartner Magic Quadrant Firewall Leader for Sixth Year, takes a close look at the enterprise security for endpoints, which are still in the hands of antivirus solutions in many places.

Palo Alto Networks notes that threats and attackers have evolved, but many security solutions have not. The current threats are more sophisticated, more automated, cheaper to run and can take various forms. The attackers act in a larger style and at a faster pace. Many companies are not prepared for this. All this has escalated in recent years, according to Palo Alto Networks, while many security tools, solutions, and platforms have maintained the same practices as decades ago. Antivirus is a perfect example of how an approach is increasingly unsuitable for protecting systems from security breaches.

The following are the four key requirements that Antivirus cannot address, but which should cover an effective endpoint security solution:

 

  1. Cybersecurity incidents are on the rise, without any end!

To control security breaches and data loss, companies implement a range of different security solutions on the endpoints. Unfortunately, these solutions, and in particular traditional antivirus products, are struggling with the protection of enterprise systems – and often fail. This has led to an increase in the frequency, variety, and complexity of security breaches.

The security industry focuses primarily on improving detection and response time, which means that only the window is narrowed down from the time of an attack to the time an attack is detected. This does not add much to the need to protect valuable data before a company suffers a security incident. In order to reduce the frequency and impact of security incidents, there must be a shift away from post-incident detection and response, after critical resources have already been compromised, and towards prevention. It is important to prevent the attackers and threats from ever entering the company.

 

  1. Antivirus solutions aren’t effective in case of preventing successful cyber attacks

Cyber attackers often use free and cheap tools to generate new and unique, encrypted or polymorphic malware that can bypass detection by traditional signature-based antivirus programs. Attacks using unknown exploits and zero-day exploits are able to dodge antivirus protection. To protect against such techniques, an effective endpoint security solution must be able to protect the endpoints from known and unknown malware and exploits in the core phase of the attack.

 

  1. Mobile users increasing demand from businesses to secure endpoints outside the traditional networking edge

Organizations are opting for cloud-based software-as-a-service (SaaS) and storage solutions to connect to internal resources from anywhere in the world, both within and outside the company’s network. These services and solutions synchronize and distribute files across the enterprise, streamlining enterprise data processing and sharing. But they may also burden the entire company with malware and exploits. Threats such as malware distribution, accidental data disclosure, and exfiltration contribute to this threat in SaaS applications.

Cyber-attacks target end users and endpoints where the network is not fully observable, so employees outside the corporate network are more likely to encounter malware. To address these threats, endpoint security must also protect the systems beyond the traditional network perimeter.

 

  1. Enterprises have problems with patch management and the protection of end-of-life software and systems

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Weaknesses in applications and systems can always be expected. The problem is that vulnerabilities exist long before the release of patches and the implementation of patches, critical or not, is not guaranteed. In addition, companies that use legacy systems and software that have reached the end of their useful life are particularly vulnerable as security patches are no longer available. As a result, these companies can be exposed to risks that are unknown and difficult to control.

Situations such as these pose an opportunity for attackers to exploit these vulnerabilities and compromise unpatched applications and systems. With the growing number of software vulnerabilities discovered each day and exploit kits available in the underground market, even “hobbyists” have the ability to launch sophisticated attacks. Protecting un-patched or legacy systems and software requires an effective security solution that defends against both known and unknown threats.

 

Three ways to measure endpoint safety

 

Companies should choose security products that deliver both total costs of ownership and security effectiveness. This effectiveness is measured by the ability of the technology to perform at least these three core functions:

 

  1. Performance of the intended function

Does the technology provide the security function it should perform? Two primary attack vectors are used to compromise endpoints: malicious executables (malware) and vulnerability exploits. Effective endpoint security products must ensure that endpoints and servers are not compromised by malware and exploits. They also need to prevent both known and unknown variants of malware and exploits.

 

  1. Essential resolution

Does the solution prevent attackers and users from bypassing its security features? No security tool or security technology is designed to be easily bypassed. If attackers or end users are still able to bypass the intended function of the technology, they will not fulfill their original purpose. An effective endpoint security platform should not allow attackers to bypass security or cause performance problems that could cause users to disable them.

 

  1. Flexibility

Is technology evolving to cover and protect new applications, systems, and platforms? A few decades ago, the frequency and complexity of cyberattacks were rather low. Endpoint security tools are designed to prevent viruses from infecting the systems. However, today’s threat landscape is radically different, reducing endpoint security tools such as antivirus programs to reactive detection and response tools.

 

Security products must take a proactive approach to adequately protect endpoints. In order to reduce the frequency and impact of cybersecurity violations, Palo Alto Networks believes that accent must be placed on prevention.

Businesses should choose security products that offer the highest level of security. The effectiveness of a security solution can be measured by its ability to meet the three requirements above. A state-of-the-art endpoint protection solution is capable of doing so and can easily handle the above-mentioned four security challenges in enterprises.

Business under pressure: Employees want same simple access to #CloudApplications as consumers

KEYFINDINGS - TWO FACTOR authentication

 

According to Gemalto research, nearly two-third (64%) of IT executives admit their security teams are considering using consumer-level access to cloud services in enterprise IT. The reason behind is the increasing spread of cloud applications and the use of different devices in companies.

 

Gemalto’s Identity and Access Management Index 2018 shows that the majority of them (54%) believe the authentication methods implemented are not as reliable as those used on popular sites like Amazon and Facebook application. For the index, more than 1,000 decision-makers from the IT sector were interviewed worldwide.

 

Due to the increasing number of cloud applications, more and more employees are performing their activities remotely. Thus, the pressure to strengthen the authentication mechanisms, while maintaining the user-friendliness increases. IT decision makers are therefore keen to introduce a “consumerized” filing process. In fact, 70% of IT professionals believe that consumer authentication methods can be adopted to secure access to corporate resources.

 
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Despite these findings, 92% of IT managers express their concern that employees could also use their personal credentials in the work environment. However, 61% agree that they still do not implement two-factor authentication to access their networks and are thus easily exposed to cybercrime attacks.

 

At the same time, there seems to be a belief that new approaches to cloud access will solve these issues. Of respondents, 62% believe cloud access management tools could simplify the user sign-in process. On the other hand, 72% say that behind the idea of introducing a cloud-based access solution is the desire to reduce the risk of massive security breaches. In addition, 61% of respondents believe that inefficient identity management in the cloud environment is a key driver behind the adoption of a cloud-based access management solution. This in turn illustrates that scalability and management overhead are also high on the IT staff worries list.

 

“These results highlight the IT-related issues of finding a balanced solution that combines the need for a simple, easy-to-use login process with the security you need,” said Francois Lasnier, SVP for Gemalto’s Identity and Access Management. Although there is a need to facilitate operations for employees, this is a fine line. IT and business managers would be best advised to first identify the risks and vulnerabilities associated with the various applications used in their organization and then use the appropriate authentication method. In this way, they can ensure a user-friendly login process while maintaining access security.

 

With the increase in remote access, the cloud and secure access to applications have become important factors for businesses. As a result, nearly all (94%) of respondents believe that cloud-based access management plays a key role in bringing applications to the cloud. 9 out of 10 people believe that ineffective cloud access management can cause issues such as security issues (52%), inefficient use of IT staff time (39%), and increased operational costs and IT costs (38%). Although cloud application protection is paramount, only three of the 27 applications a company uses on average are protected by two-factor authentication.

 

Study also highlighted that the rapid growth of cloud applications brings many benefits to businesses, but also brings with them a high degree of fragmentation in terms of their ability to provide access security to numerous cloud and in-house applications. Without effective access management tools, it can increase the risk of security breaches, insufficient visibility into access events, and non-compliance, as well as hinder a company’s ability to scale in the cloud.

DevOps, Integration and Deployment- Why is this important and how to achieve results?

New technologies often have a hard time in the beginning. As always, a large number of doubters are contrasting to early users and adaptation. We still remember today the difficulties that VMware had with the acceptance of its virtualization concept in the early years, which increased in importance only after a few years and today plays a central role in IT.

 

A similar enlargement seems to be happening to DevOps at the moment. This technology stayed a hot subject for several years, but it has not arrived everywhere yet. But the willingness to use DevOps is growing steadily and the market is clearly moving upwards. Because as nowadays everything is changing faster and faster, existing applications must constantly be adapted, at an ever-increasing pace. Concerning the numbers of the present situation, the annual report of “State of DevOps Report 2017” reflects that the sum of employees in DevOps positions has doubled since 2014. Complications also often occur between developers and operational teams. The DevOps approach is a good way to overcome these problems.

 

What is DevOps? Well, more than a methodology for software development, DevOps is a culture, which is necessary to meet the current needs of companies in the development of software, websites, applications, etc. In the traditional model, the requirements for software were clear and carefully defined in advance. The definition of the product itself was also stable. The developers were responsible for the coding of the software, and the operational teams then had to implement it on the company’s systems or the web.

 

Sure, there are industries that are DevOps-savvy. Companies, for example, who have already taken the first steps in terms of digital transformation and develop their own applications and software. Meanwhile, companies that are still at the beginning of their digital transformation and do not yet run DevOps are asking themselves, “What is DevOps at all, what has Digital Transformation to do with it, and why do we need that?”

 

The Digital Transformation reveals internal company problems in DevOps implementation

 

The need for DevOps in itself arises only through the use of new IT technologies. The development and operational teams of the company that was previously completely independent of each other are brought up to work together. Optimizing this cooperation for the benefit of the company is the basic idea. IT is the ideal example for this. Traditionally, it has always been a stand-alone entity that ultimately provided only IT services to the rest of the company but otherwise had little intersections with other departments. Chronically overloaded, the IT of many companies had even isolated itself and developed a genuine hatred to many new IT-related requirements of the users, which was not seen as the core task of IT. Everything that was not part of the job of providing IT services was literally ironed out, for whatever reason.

 

At the same time, the value of digital applications has increased. The Internet in general, cloud computing, e-commerce, mobile apps, social media companies today offer companies many new ways to grow their businesses. However, the in-house IT is rarely responsible for the development of these opportunities, but they are mostly software developers who are employed in new in-house development departments and work more with marketing than with IT. This obvious gap between software development and IT operations teams is forcing the management of many companies to better integrate these departments in order to better implement innovative ideas.

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This is necessary because the current structure of collaboration between development and IT is a real drag: developers are motivated to provide new applications and functionality, but their responsibility ends when the software is handed over to IT operations. And the Operations team plays in software development so far anyway no role, but only in the provision. Thus, the goals for developers and operations are in many cases totally contradictory, and the lack of cooperation between the two has a strong negative impact on the development and implementation of IT projects involving both sides.

 

The goal of DevOps practices is to eliminate these issues so that companies can implement new, digital projects faster and better. Thus, any company that seeks to implement such projects as part of its digital transformation can benefit from DevOps.

 

How is DevOps implemented in practice?

 

Of course, implementing DevOps successfully in practice is easier said than done. Implementing DevOps is far more complicated than just putting together the initial syllables of two words. Also, it is not enough just to buy a new technology or platform to fix the problem. The implementation is rather on two levels, the organizational and the technological level. Both levels need to be planned as part of a company-specific DevOps integration to work seamlessly together.

 

The integration of development and operations succeeds on an organizational level as a company identifies processes and practices that make teams work together more effectively. Technologically, DevOps seeks to automate the process of software delivery and infrastructure changes. Once automated, processes take much less time out of the IT department and greatly accelerate the delivery of new software. With the extra time, IT teams can more actively focus on new projects, and development teams can dramatically shorten their development cycles. In order to automate processes and improve development, there are several DevOps platforms whose implementation can make sense.

 

DevOps – part of the Digital Transformation

 

A company’s IT can make an important contribution to the success or failure of an organization. An important role for the future of an organization plays in this regard, the digital transformation, which is often led by the IT but must also include other parts of the company. DevOps is one of the means to successfully implement the Digital Transformation internally, as it provides a way to seamlessly integrate all parts of the IT environment into one project. But it’s not just about technology, it’s about corporate culture and internal processes. Organizations need to reunite these three areas to be in the fast lane when it comes to digital transformation.

EU-GDPR: Challenges for Recruiters and HR domain

As mentioned in our previous blog posts, from May, the Federal Data Protection Act is no longer valid, because then ends the transitional period of the new, General Data Protection Regulation. Together with all other domains, there are also basic obligations in the area of human resources: although a recruiter must already be careful to ensure that data are particularly protected by applicants, the protection is significantly expanded.

Especially with data collection, processing and security, a recruiter should be well informed, otherwise, it’ll endanger high penalties. Here below, we’ve listed the biggest challenges possible for recruiters vis-à-vis EU GDPR:

 

Profiling – Changes in the recruitment research

 

In case of a shortage of skilled workers, the active search for personnel becomes more and more important. To do this, a recruiter must actively collect data. Consequently, this data collection will not change. However, as soon as this information is reused, there is a lot to consider. Affected individuals must be informed before data processing that their data will be used for profiling. Recruiters have to provide information at this point, what happens to the data afterward.

If a candidate is suitable for the job then the HR must inform other candidates immediately about the planned duration of their data storage and their right to delete the data. This becomes particularly problematic for companies that specialize in data collection. The reason for this is that the new regulation sets a short deadline of 72 hours for the publication and deletion of data. For long-term storage of data, there is a case-dependent period of two to six months. A declaration of consent provides a remedy at this point, this way, the recruiter gets the ability to save data longer. The purpose of the stored data, transparent information, communication and modalities of data subject should always be indicated. (Chapter 3 of the EU GDPR “Rights of the data subject”, Art. 12-23).

 

Data Processing – What must be considered for public sources?

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EU GDPR does not have any exemption for data processing from publicly available sources. Means recruiters are required to provide the data collection. However, this communication does not have to be direct, because a reference in a publicly accessible privacy policy of the companies involved is sufficient.

However, a nonspecific survey and its analysis, keyword: Big Data, is strictly regulated by the EU GDPR. This is because the related data are not kept. Rather, in the case of large data collections, the collected information is checked for value only afterward. These data must be anonymized and may only be used for statistical evaluation (Chapter 9 of the EU-GDPR “Provisions relating to specific processing situations”, in particular Art. 89).

 

Privacy – How does sensitive information remain confidential?

 

It is important for recruiters and businesses to review and align privacy information. Because the burden of proof in the case of non-compliance with data protection lies not with the person who identifies a security deficiency, but with the respective company. An offense in data protection is not only the missing deletion or informing a data collection: It is already sufficient if the purpose of the data processing is not specified or there is no regular check on the security of the personal data.

The financial consequences increase with the new regulation and amount to up to 4% of the total worldwide achieved annual turnover of the previous business year. It should, therefore, be ensured a data management system that guarantees a secure, confidential storage of personal data (Chapter 8 of the EU-GDPR “Remedies, Liability and Penalties”, in particular, Art 83).

 

Conclusion: Recruiters and HR companies must act compelling

 

No secret: recruiter will also change a lot from May 2018 at the latest because they handle sensitive information about potential job candidates on a daily basis. Recruiters must communicate much more openly with their data collections and their use. Big data handling will be much more severe and IT security will play a crucial role in 2018 and later on. For this reason, recruiter, but also companies should be informed in detail about the EU GDPR. It is not only a challenge but also a great opportunity for recruiters and HR companies to set themselves apart from the competition on an international level with the new standard.

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