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Physical & Cloud #DataProtection: Best Practices for your #Backup and #RecoveryProcess

Data, one of the most valuable assets of organisations. Massive data is the new currency. Thanks to advancements in technology and connectivity, data creation is skyrocketing. According to IDC, Global DataSphere Forecast, 2021-2025, the global data creation and replication will experience a compound annual growth rate (CAGR) of 23% over the forecast period, leaping to 181 zettabytes in 2025. That’s up from 64.2 zettabytes of data in 2020 which, in turn, is a tenfold increase from the 6.5 zettabytes in 2012. These data are stored in ever-increasing environments and connected devices, therefore backup and restoring the capability of an information system is a real challenge to ensure business continuity and the availability of associated data.

Volume of data created and replicated worldwide

What must IT departments do to fulfill the data security mission? Well, the data security policy is at the heart of each business concern and should be a fundamental part of their security strategy. Planned security measures can then create tactical and operational rules through the joint efforts of security and storage teams. To this end, storage must be an integral part of the company’s security strategy.

 

To achieve these objectives, a company must establish a cluster around the following five essential aspects:
• Allocation of responsibilities;
• Risk Assessment;
• Development of a data protection procedure;
• Communication of data protection procedure;
• Execution and testing of the data protection procedure.

 

  1. Allocation of responsibilities

The goal is to make storage security a fully-fledged feature of the IT security architecture. Even if the company decides that the responsibility for backup or storage security rests within the storage team, it must nevertheless integrate any safety measures in this area with task to secure the rest of the infrastructure. This integration will contribute to the establishment of in-depth protection. It is also advisable to share responsibility for extremely sensitive data. It’s, therefore, better to ensure that the person authorizing access is not the same as the person responsible for enforcement.

 

  1. Assessment of storage risks in the area of ​​IT security

#Managers must review each step of their backup methodology to identify security vulnerabilities. Can an administrator secretly make copies of backup tapes? Are they stored in boxes accessible to everyone? Is there a rigorous end-to-end monitoring chain for backup tapes? If critical data is backed up and transported, vulnerabilities of this nature could make it easy prey. If the risk analysis reveals many vulnerabilities, the company must seriously question the encryption of its data.

 

  1. Development of an information protection program that guarantees the security of company data, at all times, wherever they are

Multi-level protection should be adopted by taking existing best practices for the data network in order to apply to the storage network, while adding specific layers adapted to the characteristics of the archived data, for example:

  • Authentication: application of multi-level authentication techniques and anti-spoofing (anti-identity or address spoofing).
    • Authorizations: access rights according to roles and responsibilities (as opposed to total administrative access).

It is imperative to duplicate backup tapes because it is never good to depend on a single copy of the data. Despite the longevity of the bands, they are still exposed to environmental and physical damage. A common practice is to perform nightly backups and then store these off-site tapes without any verification. Recommended best practices include duplicating backup tapes and then storing offsite copies.

Magnetic tapes remain the preferred storage mode for backups because they are economical and offer sufficient capacity to back up an entire operating system on a single cartridge. When stored properly, archival tapes have a lifetime of more than 30 years, making them an exceptionally reliable storage medium.

 

  1. Communication of the procedure to be applied with regard to the protection and security of information

Once the procedure for protecting and manipulating sensitive data has been defined, it is important to ensure that those responsible for their safety are informed and trained. Safety rules are the most important aspect of assigning responsibilities. Functional managers need to be aware of risks, countermeasures, and costs.

Data loss and intellectual property theft affect the entire enterprise, not just the IT department. As such, the Director of Security must undertake a data security approach by training the different functional frameworks in the risks, threats and potential harms arising from security breaches, as well as the cost of the various possible countermeasures in this area. In this way, company executives can raise awareness about the cost/benefit of investments in data security.

 

  1. Implementation and testing of Data Protection and Security Plan

Securing data is not about technology but about the procedure. This is why it is essential to test the procedure. In addition, as the growth of the company is accompanied by an evolution in security and data protection needs, IT security practices must also evolve. Once the complete security plan has been developed, defined, and communicated to the concerned team, only then it’s the right time to implement it. IT team must ensure the implementation of the tools, technologies, and methodologies necessary for the classification of information. New technologies may be required to classify information or label it with metadata so that it is backed up according to appropriate rules and procedures.

Once in place, the procedure must be tested, both concerning backup and restore. The test is to introduce, into the process, any possible and imaginable danger, whether it is the loss of a tape or a server, network problems, equipment or filing of data or any other scenario which could affect the company’s performance.

It is advisable to carry out tests with personnel who are less familiar with the procedure, to ensure that it can nevertheless be applied without difficulty in the absence of the usual supervisor (due to illness, holidays or departure).

Top Strategies to Improve and Increase Data Quality

Top Strategies to Improve and Increase Data Quality

 

Organizations face enormous amount of pressure when it comes to face the issue related to data quality. Businesses can only make the right data-driven decisions if the data they use is correct. Without sufficient data quality, data is practically useless and sometimes even dangerous.

 

Regardless of whether your data is structured or unstructured or your data is on-premises or in the cloud, it needs to be on top to deliver business value by ensuring that all key initiatives and processes are fueled with relevant, timely and trustworthy data. Because bad data quality not only costs time and money, in the worst case, it even leads to significant revenue losses.

 

But despite its importance of having data quality, the reality in many of today’s organizations, data quality has been voted among the top three problems for BI software users every year since the first issue of The BI Survey back in 2002.

 

What is data quality?

Defining data quality depends on the needs of each organizations. It can differ from one business to another. As a poor quality of data, especially of customer data, quickly leads to serious problems, therefore for some organizations, it can be ensuring that customer contact data is up to date so that deliveries are received in a timely manner. For other organizations, it could be filling prospects profiles that can be helpful with marketing segmentation effort. Serval factors are being used to determine the quality of data, such as accuracy, completeness, relevancy, validity, timeliness and consistency.

 

Here below are few examples to clean up and improve the consistency and reliability of your data:

 

  • Understand the purpose of your data

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IT department should work with other departments of company to align and acknowledge the problems and negative impact that company can face because of missing or erroneous data. Even though a lot of data today are generated, companies must make a strategy about what data is been collected and for which purpose the gathered data can be used because the collected data should ultimately exist for a business or mission purpose.  For this purpose, they must work to identify incomplete, faulty or multiple existing customer data, because very often, in different departments, different inventory data exists for the same customers. So, paying attention to an error free data can lead to increase data quality.

 

  • Get a Data Control Supervisor from a Qualified Department

Data Control supervisors play a crucial role in the success of a data quality mission. They come from a specialist department and know how to oversee the development and use of data systems. They can discover efficient ways to organize, store and analyze data with attention to security and confidentiality. He is also responsible for creating and enforcing policies for effective data management, formulating management techniques for quality data collection to ensure adequacy, accuracy and legitimacy of data, devising and implementing efficient and secure procedures for data management and analysis with attention to all technical aspects. His goal is to ensure that information flows timely and securely to and from the organization as well as within.

 

  • Implement a priority list of undesirable data

Today many companies are using different equipment (IOT) that records vast volumes of sensor data. Unfortunately, not all the gathered data in company is valuable. Therefore, Data Control supervisor must perform quality checks in order to reject undesirable data. To do this, he must be able to respond to following questions: How and by whom was the data generated? Which users are accessing it? For what purposes are they used by which applications? Which costs cause faulty data?

 

  • Prevent duplicate data

Duplicate data refers to when the same information is somehow input as two separate entries by different people or teams

In the presence of duplicate data, it is very hard to pull out exact results or CRM and Marketing campaigns and can create serious issues when you’re creating automations, looking up buying patterns, or putting together a target audience. So, Data Control supervisors must make sure that company is using a data management software that regularly checks the data for duplicates and cleans it to ensure that their data is clean, has quality, and is reliable to work with.

 

  • Perform regular checks on your data to uncover anomalies

If you want to understand and ensure your data quality, you have to perform regular checks to see if there’s no “bad-data”. Reviewing your data will help you to understand if the gathered data aim for organisations objectivity. As getting 100% data accuracy is not the final objective, Data Control supervisors must be able to pull-up the insights from the data to it’s main goal. Improving data quality is an ongoing process and it takes time to get it right.

Authentication Process: Balance between Security and a Positive User Experience

Authentication Process Balance between Security and a Positive User Experience

The number of digital services is growing rapidly. Every single web and mobile application, that companies use, applies different authentication methods. They are indispensable for security of their applications. Providers of these applications / services face multiple threats regarding their cyber-security, which obliges them to install and maintain solid security strategies to authenticate users. This can result in many different authentication methods and processes depending on different services. As authentication processes not only secure the applications themselves, but also create individual access protection for each user account. Their protection has to be done while maintaining a positive user experience.

 

Imagine a scenario where user doesn’t require a password to log in to check their email; and another where they need to authenticate their credentials every few minutes using CAPTCHA codes. Without a single doubt, the first scenario is very pleasant from a user experience perspective but lacks a lot of security. Inversely the second one is extremely secure, but is very irritating from a user experience perspective, and no one would be interested in using it. This is exactly where organizations need to learn how to balance user experience and security because one of the biggest online frauds most users are wary of is identity theft. It not just destroys reputations but can result in major financial losses for organizations.

 

Security professionals must not overlook the user experience while they work on their security strategies. As in cyber world, it is not always easy to determine that you are who you really claim to be, organizations must use identity and access management to protect sensitive information. Security professionals must ensure that only authorized users have access to the system and their information is safe online and they can continue to safely use it.

 

In order to place a right authentication processes, organizations need to:

 

  • Make sure that users’ data is secure by adding additional layers of encryption by providing a positive online experience.
  • Create identity verification and authorization services that can be seamlessly integrated and facilitate user transactions.
  • Consider employing the services of a company that helps in the protection of the online identity and information of their customers, while providing them with an effortless experience.
  • Access authorizations must be implemented on the basis of the “need-to- know” principle: users must only be provided with minimum access and functionality needed to perform their tasks.
  • Privileges may only be given to users when really justified.
  • No single person must be allowed to approve access requests for himself.
  • Avoid sending confidential data via e-mail as they carry an extremely high risk of passwords as they could be easily stolen.

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Data/information is an asset for today’s organizations and individuals. Data may be less or more important and very often has a monetary value. The disclosure, improper modification, or unavailability of information may incur expenses (loss) or missed profits for the organization or the individual. Therefore, most organizations and individuals must protect their data to a certain extent from threats.

Basic Measures to Improve IOT Security

The Internet of Things has picked up speed. It continues to grow and is already a priority in both, our private and professional life. Today, even light switches and dishwashers have internet access. And at the same time, you have access to your IT systems. This creates numerous opportunities but also a completely new threat situation. Security measures in the particular IoT and Industrial IoT are particularly important because of the numerous weak points. Because, although the IoT is growing so dynamically, we are still at the beginning. Hackers, however, have long been keeping an eye out for the potential vulnerabilities. And not only that, the attacks are already successful. The financial impact of such incidents is severe:

 

  • In 2016, the Ponemon Institute estimated the average cost of a data breach at more than $ 7 million.
  • The Equifax incident will eventually cost the company $ 439 million.
  • This year Facebook fell victim to two spectacular security incidents. They were enough to stagger Facebook’s share prices, and CEO Mark Zuckerberg himself lost $ 11 billion and was forced to testify before a Congressional committee.

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Due to a vast variety of devices present in the market, data protection and data security are falling behind. To take fully advantage of intelligent IT and avoid security risks, companies must tale various actions and tailor security of IOT to their actual needs. For securing these IOT, comprehensive and precisely tailored concepts and solutions are important and effective. New standards and uniform standards would be necessary but are not implemented in the currently available concepts and therefore not automatically available. You can make an important contribution to security by making individual settings, by focusing on the encryption of stored and transmitted data and by monitoring and reporting the achievement of goals. The optimization of currently IOT available in the market is possible in a few steps:

 

  • The first step in finding better IoT security is risk analysis. Therefore, include IoT devices in your risk management and set the monitoring performance for all networked devices in the system. ENISA has published an online tool to assist IoT operators in risk assessment. The tool provides a combined view of the proven security methods. The information provided by this tool for each topic reflects the information contained in corresponding ENISA reports published in the past.
  • Align the comprehensiveness (degree of depth, consistency and assurance of security measures) and scope (degree of fit to the industry or system needs) of security needs with the investment of your IOT projects.
  • Activate a strong password protection.
  • Change the manufacturer’s default settings, set highly secure passwords, and focus on comprehensive security endpoint. Active scans of new devices support your comprehensive security concept.
  • Update device firmware.
  • Enable encryption in both hard drives and communication platforms.
  • Implement all of your IOT devices into your segmented network and protect them by your powerful firewall.
  • Don’t do any jailbreak of devices or installations of unauthorized third-party marketplaces
  • Create regular backups of the IoT automation server configuration and automation rules files.

 

A survey by Trend Micro shows that companies have significant weaknesses in the security of the Internet of Things. Only 14% of IT and security decision makers surveyed said they had a complete awareness of IoT threats in their organizations. 37% of respondents admitted they were not always able to define their security needs before implementing IoT solutions.

 

Cloud computing and IoT are dramatically changing IT infrastructures. It’s not just about the risk of individual devices, but the incidents that cyber-attacks show by the use of inadequately protected devices. When it comes to security and privacy in the IoT, not only risks to the IOT should be stopped but also risks posed by the IOT. Despite this dual motivation to do more for IoT security, Internet security is still not doing well. As important as special IT security solutions may be for the particular risks in IoT and Industrial IoT, even basic protection, which is common in traditional IT, could improve many things as long as the IoT solutions offer appropriate settings and functions.

GDPR 1 Year Anniversary – What have you learned so far?

GDPR 1 Year Anniversary – What have you learned so far?

On 25 May 2019, we’ve celebrated the first anniversary of General Data Protection Regulation, aka, GDPR. Preparing for the GDPR was a superhuman effort for many. Now here we are, almost a year later, and the buzz of GDPR is faded, but not completely gone. And that’s to be expected — establishing and reinforcing a strong culture of compliance is not a “one-and-done” effort, but an ongoing and organization-wide push. What have companies learned in this past year? Are they taking GDPR in consideration and adapting new strategies in order to fulfill its requirements?

 

GDPR compliance requires a constant attention, and it’s full on challenges. Even after one year, a few companies still do not always see the meaning of the GDPR, but only a bigger workload. For few companies, the biggest challenge so far is resourcing, both financial and personal. GDPR job must be done with the skill set of right people, and as the demand of professionals is increasing, it’s hard to find the right profile to get the job done. In 2017 an IAPP study had estimatedthe need of 75000 DPOs worldwide. The IAPP new GDPR One Year Anniversary – Infographicindicates that 375000 organizations are documented to have DPOs and 500000 organizations are estimates to have registered DPOs across Europe.

A lot of organizations already have most of the basic structure for compliance with GDPR in place and they are able to respond to data subject access requests, the extensive mapping and tracking of data that is processed. The IAPP study showed that 200000+ cases have been received by DPAs during past year and 94000 individual complaints such as access requests, right to erase their data, unfair processing of data, unwanted marketing, disclosure and employee privacy.

 

The aim of the GDPR is the protection of personal data. Not only names, but also data such as telephone numbers, license plates or IP addresses are considered to be personal. For companies that have more than ten employees, the GDPR obliges them to have an internal or external privacy advocates. He is the contact person of employees, management and other affected persons. Many companies have already implemented this requirement. But even if the monitoring of compliance with data protection laws and the EU GDPR is one of the duties of a data protection officer, employees have to pay attention in everyday life even to the consideration.

 
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For this purpose, it is not enough to provide them with GDPR-compliant tools only. Instead, it is important to clarify the importance of data protection, even if much seems obvious at first glance. For instance, it is advisable to avoid making loud phone calls about sensitive company data in public as much as possible and to use privacy filters when using service laptops while on the move. Likewise, employees should not use public WLAN networks, as they are in most cases not safe but instead virtual private networks, so-called VPNs. They must also have the sense to detect an abnormal email with a lot of spam links.

 

The IAPP report also shows that the European data protection agencies have issued fines resulted in €56,000,000+ for GDPR breaches since it was enforced last May, from more than 94000 individual complaints, 64000+ data breach notifications and 280+ cross-border cases, and it’s just a warm up for the data protection authorities.

 

Often companies still lack the awareness that the GDPR not only concerns the handling of customer data, but also employee and supplier data. For business to go forward positively, it’s highly important to stay tunewith regulator guidance and enforcement decisions from their country’s respective DPA in order to know when internal processes may need and update. When it comes to GDPR, organizations should monitor the European Data Protection Board website, which also has started reposting information from national DPAs, as well as ongoing guidance. The penalties for non-compliance and the potential reputational risk are severe.

 

Source : GDPR One Year Anniversary – Infographic

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