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Use of RPA and AI-based Predictive Models in Workforce Automation and Performance Management

 

Robots taking over the world? Well, not exactly. But they are definitely revolutionizing the way we work and increasing efficiency across industries. RPA is a game-changing technology that is streamlining repetitive tasks and freeing up human resources for more meaningful work. From accurate data processing to consistent task execution, automating half of workforce planning, and performance management, leading to various benefits such as increased efficiency, cost reduction, and improved workforce resilience through targeted performance management, RPA offers a wide range of benefits that can transform your business operations.

 

Let’s explore the exciting use cases of robotics process automation and how this non-invasive technology can help achieve your goals:

 

Workforce Planning Automation:

 

  • RPA can automate repetitive and rule-based tasks involved in workforce planning, such as data gathering, analysis, and reporting. For example, it can extract employee data from multiple systems, compile it into a centralized database, and generate reports automatically. One of the key benefits of RPA is its accuracy. Bots follow predefined rules and instructions meticulously, ensuring precise execution every time. This eliminates costly errors caused by human fatigue or oversight. With RPA in place, you can trust that your data will be processed accurately without any discrepancies.

 

  • AI-based predictive models can analyze historical data and external factors to forecast workforce demand and supply. This enables organizations to optimize workforce size, identify skill gaps, and plan for future needs more accurately. Plus with its low technical barrier you don’t need to have extensive programming knowledge or coding skills to implement it within your organization. The intuitive design interfaces make it accessible for non-technical users as well, allowing them to create automated workflows easily.

 

Performance Management Automation:

 

  • RPA can automate administrative tasks related to performance management, such as performance appraisal forms generation, data consolidation, and feedback distribution. This reduces manual effort, improves accuracy, and saves time for HR professionals and managers. Additionally, in terms of productivity gains, RPA enables faster task completion times compared to manual efforts alone. With bots handling repetitive tasks efficiently round-the-clock, employees are freed up from mundane activities and can focus on strategic initiatives that require creativity and critical thinking.

 

  • AI-based models can analyze performance data, feedback, and contextual factors to provide valuable insights and recommendations. For instance, they can identify high-performing employees, flag performance issues, and suggest personalized development plans. Moreover, relying on robots ensures reliability in task execution as they consistently follow standard operating procedures (SOPs) without deviation or shortcuts. This leads not only to increased efficiency but also improves customer satisfaction due to quicker response times and accurate deliverables.

 

 

Cost Reduction through Efficiency:

 

  • By automating workforce planning and performance management processes, organizations can save time and effort, leading to increased productivity and efficiency. This enables HR professionals and managers to focus on higher-value tasks, such as strategic workforce planning and talent development.

 

  • RPA reduces the need for manual data entry and processing, minimizing errors and rework. This improves data accuracy and reduces the associated costs of correcting mistakes.

 

  • AI-based predictive models help optimize resource allocation, workforce utilization, and talent acquisition, ensuring that organizations have the right people in the right roles at the right time. This reduces unnecessary costs and maximizes operational efficiency.

 

Improved Workforce Resilience through Targeted Performance Management:

 

  • AI-based models can analyze performance data and identify patterns, enabling organizations to proactively address performance issues and mitigate risks.

 

  • By providing targeted feedback and personalized development plans, AI can help employees enhance their skills, increase job satisfaction, and improve overall performance. This contributes to a more resilient workforce that can adapt to changing business needs.

 

RPA is also a non-invasive technology that seamlessly integrates with existing systems and applications without disrupting their functionality. This means you don’t have to completely overhaul your IT infrastructure to leverage its benefits. By working alongside your existing tools, RPA enhances operational efficiency without causing any major disruptions or downtime. In summary, the combination of RPA and AI-based predictive models in workforce planning and performance management can automate repetitive tasks, improve efficiency, reduce costs, and enhance workforce resilience through targeted interventions and data-driven insights.

Best Practices for Managing and Analyzing Big Data

 

From social media posts and customer transactions to sensor readings and online searches, the sheer volume of data generated on a daily basis is staggering. It’s understood that with this flood of information comes great opportunity – if one knows how to manage and analyze it effectively. Data analytics plays a crucial role in today’s business landscape. It enables organizations to uncover valuable insights from the vast amount of data they collect and make informed decisions based on these findings.

Managing and analyzing big data effectively requires adopting certain best practices. Here are some key considerations:

 

Define clear objectives: Managing and storing big data can be a daunting task, but with the right approach, it becomes much more manageable. The first step is to prioritize your business needs. Start by identifying the key objectives and goals you want to achieve through data analysis. This will help you determine what type of data you need to collect and store and ensure your analysis aligns with your business needs.

 

Data quality and preprocessing: Ensure data quality by addressing issues such as missing values, outliers, and inconsistencies. Preprocess the data by cleaning, transforming, and integrating it to make it suitable for analysis. Embrace all data collection and storage practices that align with your business needs.

 

Data storage and infrastructure: There are numerous analytics tools available today that can help you make sense of your big data. Choose appropriate storage and infrastructure solutions that can handle the volume, variety, and velocity of big data. Consider investing in scalable storage solutions that can grow as your data grows. A robust infrastructure that can handle large volumes of data efficiently is mandatory! Consider options like distributed file systems, cloud storage, and scalable databases. Cloud platforms offer flexible storage options, allowing you to scale up or down based on demand. They also provide automated backup and disaster recovery capabilities, ensuring the safety and availability of your data.

 

Scalable and parallel processing: Utilize distributed processing frameworks like Apache Hadoop or Apache Spark to handle the processing of large-scale data sets across clusters of machines. This enables parallel processing and improves efficiency.

Data security and privacy: Implement robust security measures to protect sensitive data. Access controls, encryption, monitoring, and regular audits are essential for safeguarding against unauthorized access or breaches. Protecting privacy should always be a top priority when working with large datasets.

 

Data governance and compliance: Establish data governance policies and procedures to ensure compliance with relevant regulations, such as data retention, privacy laws, and industry standards. Document data lineage, establish data ownership, and maintain proper documentation.

 

Data visualization: Use effective data visualization techniques to present complex data in a clear and meaningful way. Presenting findings in a visual format helps stakeholders easily understand complex insights derived from big data analyses. Use charts, graphs, infographics or interactive dashboards to convey key messages effectively.

 

Machine learning and statistical techniques: Employ appropriate machine learning algorithms and statistical techniques to analyze big data. These techniques can uncover patterns, identify correlations, make predictions, and derive actionable insights.

 

Iterative and exploratory analysis: Big data analysis is often an iterative process. Explore different algorithms, models, and parameters to refine your analysis iteratively. Document and communicate your findings throughout the process.

 

Collaboration and interdisciplinary approach: Encourage collaboration among data scientists, domain experts, and business stakeholders. This interdisciplinary approach fosters a better understanding of the data, improves analysis, and promotes data-driven decision-making.

 

Continuous learning and improvement: Stay up to date with the latest tools, techniques, and advancements in big data management and analysis. Continuously learn from previous projects, experiment with new methods, and strive for improvement.

 

By following these best practices for managing and analyzing big data, your organization will gain valuable insights that can fuel innovation, drive informed decision-making, and ultimately lead to success in today’s highly competitive business landscape. But remember, the specific best practices may vary depending on the nature of your data, industry, and objectives. Regularly assess your processes and adjust them as needed to ensure you’re effectively managing and analyzing big data.

Cloud Computing: A Life-Saver for Businesses in Crisis Situations

In times of crisis, businesses need reliable solutions to keep their operations running smoothly. From natural disasters to pandemics, the right digital infrastructure can make a world of difference in terms of both cost and efficiency. That’s why more and more companies are turning to cloud computing – a digital solution that promises maximum data security while being highly scalable and cost-effective.

 

It’s proven that Cloud computing is a life-saver for businesses in crisis situations. It allows businesses to continue operating even when faced with power outages, natural disasters, and other unexpected events. By storing data and applications in the cloud, businesses can keep their critical operations running and avoid costly downtime.

 

The benefits of cloud computing for businesses in crisis situations include:

 

  • Increased Flexibility: Cloud computing gives businesses the ability to scale up or down as needed, which can be a lifesaver during times of crisis when demand is unpredictable.
  • Reduced Costs: The pay-as-you-go model of cloud computing can help businesses save money during times of crisis when every penny counts.
  • Enhanced Collaboration: The collaborative features of many cloud-based applications can help businesses stay connected and work together effectively even when employees are working remotely.
  • Improved Disaster Recovery: With cloud backup and disaster recovery solutions, businesses can protect their critical data and systems from being lost or damaged in the event of a disaster.
  • Greater agility: In today’s fast-paced world, the ability to quickly adapt to change is critical for survival. Cloud computing gives businesses the agility they need to make changes on the fly and keep up with the competition.

 

 

How Does Cloud Computing Help with Business Continuity?

Business continuity is an important consideration for any business, and cloud computing can be a valuable tool in maintaining business continuity. Cloud computing can provide businesses with the ability to maintain access to their data and applications in any given circumstance. Additionally, cloud computing can provide businesses with the ability to scale their resources up or down as needed, which can help to ensure that they have the resources they need during times of increased demand.

There are many different cloud computing solutions available, and the best one for your business will depend on your specific needs. However, there are some general best practices that you should follow when implementing a cloud solution:

 

Best Practices for Implementing Cloud Solutions

There are many different cloud computing solutions available, and the best one for your business will depend on your specific needs.
However, there are some general best practices that you should follow when implementing a cloud solution:

 

    • Define Your Goals: Before you even start looking at different cloud solutions, you need to take a step back and define what exactly you want to achieve with the move to the cloud. What are your specific goals and objectives? Once you have a clear understanding of what you want to achieve, you can start evaluating different options to see which one is the best fit for your business.
    • Do Your Research: Don’t just go with the first cloud solution that you come across. Do your research and compare different options before deciding. Consider factors such as pricing, features, scalability, security, and support when making your decision.
    • Work with a Reputable Provider: When it comes to choosing a cloud provider, it’s important to work with a reputable and experienced company. Choose a provider that has a good track record and is able to meet your specific needs. Ask for references from other businesses that have used the provider’s services before making your final decision.
    • Implement a Pilot Program First: Before moving all of your data and applications to the cloud, it’s often helpful to implement a pilot program first. This will allow you to test out the cloud solution and make sure that it works well for your business. It’s also a good way to get a feel for the provider’s customer service and support.
    • Stay Up to Date: Cloud technology is constantly evolving, so it’s important to stay on top of the latest trends and changes. Make sure that your cloud solution is up to date with the latest features and security measures in order to ensure that you’re getting the most out of your investment.

 

Following these best practices will help ensure that your cloud solution is implemented successfully and meets your business needs.

 

Nevertheless, there are a few critical considerations to take into account when choosing a cloud provider, particularly for businesses in crisis situations. The 1st is scalability: can the provider scale up or down to meet the changing needs of the business? 2nd is reliability: is the provider’s infrastructure reliable and robust enough to handle mission-critical workloads? 3rd is security: how well does the provider protect data and ensure compliance with industry-specific regulations? 4th is cost: what is the total cost of ownership for using the provider’s services? And lastly, flexibility: how easy is it to use the provider’s services and how much control does the customer have over their own data and applications?

 

To choose the best possible cloud provider for your business, it’s important to understand your own requirements and objectives so you can evaluate different providers to see which one best meets your needs.

At Xorlogics, we advise you on all questions regarding the introduction, update or optimization, maintenance, and further development of your IT systems according to your needs and are at your side as a competent partner. We are happy to assist you in all technical areas. Thanks to our many years of experience, we know what is important, and which hardware and software make sense for your work processes. Just contact us and we will be happy to advise you.

Top Tech trends for 2023: What can companies expect in 2023 and position themselves better?

The year 2022 was marked by supply chain disruptions, inflation, debt, labor market gaps, geopolitical uncertainties, fears of recession and increasing ransomware attacks. These developments continue to pose a critical threat to the companies. But it is also important to look into the future at the end of the year to be better prepared for the challenges and opportunities to come & heal covid19 scars.

 

Cloud budgets are being analysed more closely

According to a recent report by Veritas, misunderstanding about cloud security, scalability and storage has led most enterprises spending much more than anticipated. 93% of companies overspend on the cloud, exceeding budgets by an average of 43%. As the amount of data increases every year, the cost of storing it in the cloud also increases. For IT teams, this is becoming increasingly difficult to justify. Exceeding budget is mainly due to the misunderstanding nearly all organizations had that CSPs are responsible for protecting their assets in the clous. Although cloud adoption has enabled most companies to implement advanced business strategies, future CEOs and boards of directors will demand more transparency into the return on investment (ROI) of cloud spending. IT managers are under great pressure to justify their cloud budgets while finding new solutions to reduce data volume as Veritas expect IT spending to be reviewed even more closely in 2023.

The vast majority of enterprises fail to stay within their cloud budgets

Low-code and no-code make compliance difficult

As the demand for hyper-automation and IT modernization is growing at an exponential rate, low-code and no-code applications are contributing significantly to the democratization of application development in companies. In 2023 they will become even more established. The global low-code platform market is forecasted to generate a revenue of $187.0 billion by 2030, increasing from $10.3 billion in 2019, and is expected to reach 31.1% CAGR in the forecast period (2020-2030).

Employees without a technical background (citizen developers) can develop their own applications. Almost 60% of the custom apps are now built outside the IT department. Of those, 30% are built by employees with limited or no technical skills, creating huge compliance issues for businesses. Because citizen developers are less experienced in implementing security and privacy systems. Creating new vulnerabilities that can be exploited by cyber criminals.

 

Edge device vulnerability

Gartner analysts predict that by 2025, around 70% of of the data managed by organizations will be created and processed outside of the data center or cloud vs 10% now. Adoption of edge devices are considered as the solutions that facilitate data processing & generation. But this increasing shift of data processing to the edge complicates the IT architecture and increases the attack surface. Because of the lack of IT specialists, it is often not possible to provide the same level of protection at the network edge as in the data center or the cloud. Nevertheless, to fully protect the enterprise, every single edge device must be secured.

 

IOT & hyper-connectivity

We live in a hyperconnected world where worldwide companies are under huge pressure of shearing and integrating data in a smart way. It’s predicted that there will be more than 43 billion connected devices by 2023 with the goal of generating, collecting, shearing and helping companies to make use to data in the smartest way possible. 5G technologies are also boosting the full potential of IoT & hyper-connectivity. It’s true that IoT devices make our lives easier and more convenient but also comes with huge security issues if not well protected.

As the number of devices explodes during 2023 and beyond, device manufacturers and security experts will have to strengthen their strategies to fight against cyberattacks and minimize the chances of losing valuable data.

Top listed Threats & Risks to Cloud Services and how to avoid them?

Top listed Threats & Risks to Cloud Services and how to avoid them

Many businesses have already shifted their workloads to the cloud in an effort to increase efficiency and streamline workloads. According to the Flexera 2021 State of the Cloud Report, roughly 90% of enterprises anticipate cloud usage will expand even further as a result of COVID-19. Even though the cloud has a lot of benefits to offer, it’s very important to highlight all the risks involved. A lack of understanding of cloud vulnerabilities and misconfigurations of cloud security settings can easily lead to cloud data breaches, as the enormous amounts of data, that cloud servers host, make them an attractive target for hacker attacks. Threats to cloud environments are in many ways related to the threats via in-house enterprise networks.  Pierre Gronau, the cloud security expert, reveals twelve risks and expresses specific recommendations to minimize the risk of abuse and externally enforced data loss.

 

Data Breach

A company is responsible for the protection of its data. In the case of a data breach that has become public, preliminary investigations, lawsuits, legal disputes, and the resulting loss of revenue, as well as a sustained loss of reputation, are threatened. Therefore, when choosing the cloud provider, special attention must be paid to physical and digital security controls.

 

Insufficient identity, credential, and access management

Data breaches and other attacks often result from lax authentication, weak passwords, and poor key or certificate management. IT departments have to weigh the benefits and risks in a balancing act: on one hand, there is the efficiency of centralizing identity. On the other hand waits for the danger that such a valuable central directory, the repository, represents a worthwhile target. Businesses should rely on multifactor authentication such as time passwords, phone-based authentication, and SmartCard access protection for greater security.

 

Unsafe interfaces

IT teams use interfaces and APIs to manage and interact with cloud services. This includes services that provide cloud provisioning, management, and monitoring. These APIs and interfaces are typically the most exposed part of a system because they are usually openly accessible over the Internet. The Cloud Security Alliance (CSA) recommends security-oriented code reviews and rigorous penetration testing. Useful in this context are API security components such as authentication, access control, and activity monitoring.

 

System vulnerabilities

Organizations share storage, databases, and other resources in the immediate locale area, creating new attack surfaces and the potential for exploitable errors. However, IT teams can ease attacks on such system vulnerabilities with basic IT processes. One of these processes is speedy fixing. Change-control processes that address emergency patches ensure that all corrective actions are properly documented and reviewed by technical teams. The optimal time window for this is four hours.

 

Account takeover

Phishing, fraud, and software exploits are still successful. Cloud services add a new dimension to these threats as attackers enforce damaging activity, manipulate transactions, and change data. To avoid this, companies should monitor all accounts, including service accounts, to trace each transaction back to its human owner. The key is to protect each account’s credentials from theft.

 

Malicious insiders

The insider threat has many faces: a current or former employee, a system administrator, contractor, or business partner. The range of malicious actions ranges from forced data abuse to data theft. We can say that the game publisher Zynga learned a lot via his previous experience. In November 2016, employees copied a large amount of player data from the company’s Google Drive account to a USB stick. Goal: They wanted to join the competition after leaving the company. Systems that depend solely on the security of the cloud service provider are at the greatest risk. Protection provides effective logging as well as monitoring and auditing of administrator activities. To minimize the burden of access, organizations should work with encryption processes and keys, as well as quantitatively minimize access to systems.

 

Advanced persistent threats

The CSA identifies advanced persistent threats (APTs) as parasitic forms of attack. APTs infiltrate systems and then secretly exfiltrate data and intellectual property for extended periods of time. Possible entry points include direct attacks, targeted e-mail fraud, spear phishing, and attacks via USB drivers. To be prepared, IT departments need to keep abreast of the latest attacks. In addition, regularly updated awareness programs ensure that users remain alert and less susceptible to letting a parasite into the web.

 

Data loss

Reports of persistent data loss due to cloud provider errors have become extremely rare. Hackers, however, are still showing off their active side by permanently deleting corporate and data center cloud data to damage the company’s reputation. Here cloud providers recommend the distribution of data and applications, daily backup, and offsite storage. Compliance policies often dictate how long companies need to retain audit records and other documents – the loss of this data can have serious regulatory consequences.

 

Insufficient due diligence

Organizations that use cloud services without fully understanding these and the associated risks must accept commercial, technical, legal, and compliance risks. If development teams are not familiar with cloud technologies, operational and architectural issues can arise. At this point, developers must conduct a comprehensive due diligence process to assess the risks associated with their cloud services. The duty of care in the cloud environment is always and especially valid for cloud migrations, consolidation, and outsourcing.

Abuse and harmful use of cloud services

 

Hackers can use cloud services to support their criminal activities. An example is the use of cloud computing resources to crack an encryption key and launch an attack. Other examples of abusive interns include DDOS attacks, spam messages, and malicious content hosting. Therefore, customers should check in advance if their cloud provider offers a misuse reporting mechanism. Even though customers are not direct prey to malicious activity, abuse can still lead to service availability and data loss issues.

 

DoS attacks

Harassment or blackmail-motivated DoS attacks have been around for years. They have gained in importance thanks to cloud computing and are affecting the availability of cloud services. Systems can slow down to a crawl or fail completely. The Australian Bureau of Statistics was also confronted with such a catastrophic failure in 2016 when the agency tried to complete the first national census online. Despite various system tests and stress tests, the census website crashed and went offline the night of the census. No Australian was able to complete his census form. According to CSA, cloud providers tend to handle DoS attacks better than their customers. Protected is anyone who has a plan to mitigate attacks before they occur. This is the only way for administrators to access essential resources when they need them.

 

Shared Technology Vulnerabilities

Vulnerabilities in a shared technology, including infrastructure, platform, and application, pose a significant threat to cloud computing. If a vulnerability occurs at one level, it affects everyone. If an integral component is compromised, it exposes the entire environment to potential injury. To prevent this, the CSA recommends a deep defense strategy which is known as multifactor authentication.

It Takes Next Level Preparation to Achieve the Best of Your Cloud Migration

a cloud migration steps

Nothing is built for eternity in IT. Applications that were state-of-the-art ten years ago no longer meet the needs of agile enterprises. Every day, industry leaders are competing with digital upstarts that develop their business exclusively in the cloud. To fight this battle, Innovative CIOs are therefore migrating their applications and data management to the cloud.

They want to benefit from the flexibility, diversity, security, and scalability of powerful and highly available cloud services for their digital transformation. But you only unlock these potentials if you prepare yourself and your IT departments well enough. Here below is a five-step preparation to respond to the demand.

 

  1. Question everything and rediscover your business

Do not leave one stone on the other and analyze all previous processes. Ask the right questions: What needs to change? What are the consequences of migrating certain applications to the cloud? Which adjustments are necessary for the work processes, the responsibilities? Take all departments with you on your journey. As cloud migration means much more than the introduction of new technology, the entire organization to the last employee must understand where the journey is going, what is being done, and what needs to change. Rather, it means developing into an agile organization because the cloud also works with agile methods, since every four to six weeks is an update. So, a company is constantly benefiting from new and best practice solutions when it is ready to adapt. To keep pace with this rapidly changing infrastructure, the new cloud services need to be designed and implemented so that you and all departments move at the same pace. For many companies, this is a significant change.

 

  1. Define agile business processes to unlock all of the cloud potentials

If you have not yet established agile work processes, you will need to introduce them with cloud migration at the latest. Because the effects of constant updates circulate in all areas. The departments also need to be more agile to ensure continuous integration of new features. You need to involve senior executives in prioritizing and approving. The specialist departments and project teams will have to collaborate in the future like an interconnecting gearbox in a single machine. As the development tool spins faster to support agile processes, it also forces everyone else to spin faster. This may be annoying at first, but the long-term benefits will be enormous. The organization as a whole becomes more agile, which speeds up day-to-day operations and workflows. Product development, marketing, and sales can react much faster to market opportunities and competitive pressure. Developers can quickly implement new features to meet important customer needs. Thanks to the scalability of cloud applications, they can optimize IT investments along with the services they request.

 

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  1. Think networked in processes, technologies and especially in people

In the face of agile and accelerated processes, cloud migration is never just a technology introduction, but always a change process for the entire company. Ask about the effects on people and processes: which people are directly, and which are indirectly affected? Who needs to be hired and who needs further education? What effects does this have on the ongoing processes? In order to handle the three dimensions of people, processes, and technology equally, you need a change in the current management method.

 

  1. Set priorities and start with the easy-to-reach Quick Wins

The implementation of cloud migration is a complex challenge in which some tasks are highly useful and can be implemented quicker. Other areas, however, have a low benefit and require high expenditures. Prioritize all tasks with an XY matrix, where you divide the quadrants into high and low utility and low and high overhead. Then start with the implementation with the tasks that offer a high utility value with little effort. Such “quick wins” give their project energy and help to convince the skeptics. Tasks with little benefit and high effort can postpone your entire project. The intervening tasks should be sorted according to the organizational needs.

 

  1. Formulate your vision with clear goals and document your concept

Many cloud projects begin with an informal discourse that quickly brings about much agreement. It is better, however, to document the concept and to define the key factors in it. For example, a cloud migration project needs a vision with clear goals for the next one, three, and five years. Describe the benefit for your business and how it will evolve. Create a roadmap that defines competency progress and milestones. Sketch the solution architecture for full implementation and how your business will transform along the way. This document provides guidance to all project participants in the implementation process and ensures the long-term success of your company on the path to digital transformation.

 

Covid19: Things We’ve Learned About #CloudComputing, So Far

 

Things We've Learned About #CloudComputing, So Far

In a remarkably short period of time, cloud computing has moved from a marginal to a fundamental element of IT operations. Thus, in just ten years, CIOs were presented with an opportunity to break the rules and create a new model for the implementation of IT. IDC forecasted cloud infrastructure spending to grow 12.9% to $74.6 billion for 2021 and Gartner expects the cloud computing industry to grow a trillion-dollar value in 2022. While cloud computing is essential in the IT strategy, it’s good to highlight where the cloud has brought benefits and in which areas companies still have to improve.

Let’s find below which strategies are working and where there is still work to be done.

 

The practice of cloud computing to bridge gaps in services

Cloud computing should be seen as a form of flexible outsourcing. It is only one vector among others for the provision of services. In computing on demand, what matters is how the company subscribes to services and benefits, not how they are delivered.

Cloud computing has the advantage of offering a very different model from the traditional ways of purchasing enterprise computing, where an ISD would acquire hardware and software for a specific location. This may be appropriate for services limited to a regional market but can encounter problems of latency at the global level. This can be very problematic, especially if you are managing IT for a highly transactional business such as a financial institution, or if you ship large amounts of data. The cloud enables CIOs to ease these performance issues by purchasing on-demand computing to create omnipresent service delivery.

You can rely on the third party to provide the diverse service you need, while they, as an expert, have the capability to deliver peak capabilities and performance where and when you need it.  As a CIO, you can expect the platform to work and be available. Now, many IT executives will do their best to avoid possessing new physical hardware, while being assured that the service will be well provided. The cloud enables IT managers to take a step towards hosting and achieve high levels of backup and security for a defined fee.

 

Adopt a cloud computing mindset

A company must have a long-term goal to migrate as much IT capacity to the cloud as it provides a cost-effective way to gain access to new skills and expertise. It can be difficult to keep in touch with all the innovations associated with the cloud; so, make sure to spend enough time brainstorming and talking with future IT professionals to get an idea of ​​future changes. They are probably more aware of the next big phenomenon that will affect the company. The culture that surrounds IT management is evolving, and that’s why you have to take a look at the new services that are available on the market and encourage employees to adopt a mindset favoring cloud computing.

However, a migration to the cloud must be carefully managed, including governance and information security. By definition, major providers (such as Amazon and Google) should be much better at securing data. However, CIOs need to be aware that convincing the rest of the company of the benefits of cloud computing can be a slow process, particularly with regard to governance, security, and approval issues.

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Let the cloud take care of core domains

Cloud computing integration must bring a tremendous solution to your organization’s operational challenge. The starting point concerns a number of core areas that CIOs can easily deliver on-demand. If you are using products such as Salesforce and Office 365, you’d have to be crazy to want to host them yourself. Better to let someone else, an expert in this field, take charge of your operational concerns. The cloud also serves as a one-time solution to problems involving certain operational projects.

 

Finding a balance and determining how to manage legacy systems

IT managers would be foolish to dismiss cloud computing, if only in terms of the quality of the service. However, while businesses will continue to migrate on-demand services, much remains to be done. We’ve noticed that some companies are opting ​​for an on-demand model and there are others that buy more internal resources.

For CIOs, moving to an on-demand model can be a headache. You have your systems inherited and at some point, you will have to consider migrating these services to cloud computing, but it’s possible, as the momentum is in favor of computing demand, despite persistent concerns about security and governance.

 

Security and Privacy

The main challenge to cloud computing is how it addresses the security and privacy concerns of businesses thinking of adopting it. The fact that the valuable enterprise data will reside outside the corporate firewall raises serious concerns. Hacking and various attacks on cloud infrastructure are affecting multiple (potential) clients. These risks can be mitigated by using security applications, encrypted file systems, data loss software, and buying security hardware to track unusual behavior across servers.

 

Reliability and Availability

Cloud providers still lack round-the-clock service; this results in frequent outages. It is important to monitor the service being provided using internal or third-party tools. It is vital to have plans to supervise usage, SLAs, performance, robustness, and business dependency of these services.

5 Top Recommendations for Public Cloud Protection

5 Top Recommendations for Public Cloud Protection

Public cloud storage provides virtually unlimited capacity to users on-demand, accessible via the web, in a free or paid per use capacity. The most prominent examples of public cloud storage are Google Apps, Office 365, file sharing applications such as Dropbox, and so on.

From a legal perspective, security aspects of cloud storage especially arise with regard to data protection regulations. Data protection law is focused on the protection of the data of individuals, their right to storing, processing, and use. In data protection law, particularly relevant roles are the data subject, it’s the one who needs to be protected, the controller aka cloud user, the processor means the cloud application provider, and the subcontractor of the processor which is the cloud storage provider. As Increasingly, hackers are gaining access to the public cloud resources of businesses and organizations due to the careless handling of the keys access of authorized users, companies must know how to protect sensitive information contained in scripts or configuration files by carefully planning the security and privacy aspects of cloud computing solutions before engaging them.

 

Here below are the top 5 recommendations for public cloud users to protect their data from misuse:

 

  • Understand the public cloud computing environment offered by the cloud provider

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The responsibilities of both the organization and the cloud provider vary depending on the service model. Organizations using cloud services must understand their responsibilities over the public computing environment and the implications for security and privacy. The cloud provider support and investment in data security or privacy should be verified before any collaboration. If you understand well enough the policies, procedures, and technical controls used by a cloud provider you can calculate the security and privacy risks involved. By having a complete picture of the protection provided by the security and privacy controls, organizations can improve the ability to assess and manage risk accurately, including mitigating risk by employing appropriate techniques and procedures for the continuous monitoring of the security state of the system.

 

  • Evaluate your organizational security and privacy requirements

 

A public cloud provider’s security package isn’t custom-made specifically for an organization’s security and privacy needs. Therefore, from a risk perspective, organizations must be well informed if their selected public cloud computing solution is configurable, deployable, and manageable to meet their security, privacy, and other requirements. Organizations can also have negotiated agreements about security and privacy details, such as the vetting of employees, data ownership and exit rights, breach notification, data encryption, tracking and reporting service effectiveness, compliance with laws and regulations, etc. With the growing number of cloud providers and the range of services from which to choose, organizations must pay attention when selecting and moving functions to the cloud.

 

  • Ensure that the client-side computing environment meets organizational security and privacy requirements for cloud computing

 

Cloud computing encompasses both a server and a client-side. Services from different cloud providers, as well as cloud-based applications developed by the organization, can impose more exciting demands on the client, which may have implications for security and privacy that need to be taken into consideration.

Because of their practical use, web browsers are a key element for client-side access to cloud computing services. Clients may also run a small lightweight application on the desktop and mobile devices to access services. The numerous available plug-ins and extensions for Web browsers are well-known for their security problems. Many browser add-ons also do not provide automatic updates, increasing the persistence of any existing vulnerabilities.

Having a backdoor Trojan, keystroke logger, or another type of malware running on a client device undermines the security and privacy of public cloud services as well as other Internet-facing public services accessed. As part of the overall cloud computing security architecture, organizations should review existing security and privacy measures and employ additional ones, if necessary, to secure the client-side.

 

  • ID and rights management:

 

Identity and authorization management is a major part of access control. A cloud service provider should make these secure using suitable organizational, personnel, and technical measures. If not done correctly, hackers can easily find these unprotected keys and gain direct access to the exposed cloud environment they use for data theft, account takeover, and resource exploitation. The damage can reach 4-5 digit amounts per day. For this reason, all Cloud Computing platforms should support identity management. The basis for this support can be either that a service provider supplies the customer with an ID management system themselves, or that they supply interfaces to external identity providers.

 

  • Early detection is crucial

 

There are those who believe the attackers have already “won,” and thus choose to implement a detection and remediation approach. However, with complete awareness of your environment, a prevention attitude is indeed possible. Therefore, the final step is to implement that monitors any activity for potentially harmful behavior. Implementing detection measures that look for correlate and warn against potentially malicious behavioral indicators will help detect hackers early enough before they can do more damage. Applying application-specific threat prevention policies to allowed application flows is a key step in adhering to a prevention philosophy. Application-specific threat prevention policies can block known threats, including vulnerability exploits, malware, and malware-generated command-and-control traffic.

 

Organizations are using the public cloud to achieve more efficient time to market and improve the overall business. However, when executives create business strategies, cloud technologies and cloud service providers (CSP) must be considered. Developing a good roadmap and checklist for due diligence when evaluating technologies and CSPs is essential for the greatest chance of success. An organization that hurries to choose CSPs without a case study, exposes itself to commercial, financial, technical, legal, and compliance risks that jeopardize its success.

 

Sources :

Cloud Computing Adoption in 2020

All Cloud 2020 Cloud Infrastructure Report xorlogics

According to a report from Forrester cloud adoption meant to accelerate and change the enterprise landscape entirely, transforming the cloud from being “a place to get some cheap servers or storage, to being shorthand for how companies turn amazing ideas into winning software – faster.” This statement fits perfectly with AllCloud’s finding that 85% of organizations expect to have the majority of their workloads on the cloud by 2020.

 

A study from Flexera 2020, in which a total of 750 global cloud decision-makers and users about the public, private and multi-cloud market participated from around the globe, also confirms that Cloud spend is rising as organizations adopt multi-cloud strategies and put more workloads and data in the cloud.

According to the AllCloud study more than 70% of IT professionals said half their companies’ IT workloads are in the cloud now, 85% expect to have the majority of their workloads on the cloud by 2020, and more than 23% will be cloud-only.

 

Here below are the highlight of the report on how organizations are progressing in their journey to cloud. It’s important to know that the survey began in the first quarter of 2020 = during the early phase of COVID19.

 

cloud 2020 xorlogics flexera

 

Multi-Cloud success within Enterprise:

Many organizations silo applications within a given public or private cloud, with 41% integrating data between clouds. 93% of enterprises have a multi-cloud strategy and 87 % have a hybrid cloud strategy.   Only 33% of all participating organizations use multi-cloud management tools. Respondents use an average of 2.2 public and 2.2 private clouds.

 
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Public Cloud adoption within Enterprise:

20% of participating enterprises spend more than $12 million per year on public clouds. The top three public cloud providers remain AWS, Azure and Google. Azure is narrowing the gap with AWS in both the percentage of enterprises using it and the number of virtual machines (VMs) enterprises are running in it. 40% of enterprise AWS users spend at least $1.2 million annually versus 36% for Azure More than 50% of enterprise workloads and data are expected to be in a public cloud within 12 months. 59% of respondents who answered a question about COVID-19 expect cloud use to exceed plans due to the pandemic. The top challenge in cloud migration is understanding application dependencies.

 

Top Challenges of Cloud adoption:

83% of enterprises indicate that security is a challenge, followed by 82% for managing cloud spend and 79% for governance. For cloud beginners, lack of resources/expertise is the top challenge; for advanced cloud users, managing cloud spending is the top challenge. Organizations are over budget for cloud spend by an average of 23% and expect cloud spend to increase by 47% next year. 56% of organizations reported that understanding cost implications of software licenses is a challenge of software in the cloud. Organizations aren’t taking advantage of all cloud provider discounting options, but are beginning to leverage automated policies to shut down workloads after hours (51%) and rightsize instances (49%).

 

Source:

Flexera 2020 State of the Cloud Report

All Cloud : 2020 Cloud Infrastructure Report

 

Tips to Develop an Effective Multi-cloud Security Strategy

A multi-cloud world is quickly becoming the new normal for many enterprises. Cloud-based computing and service platforms empower companies to adapt to the new digital economy. Cloud enables them greater agility and scalability, higher performance, and faster access to innovative technologies, all of which help a business to gain a competitive edge by allowing them to be effective in today’s digital market and stay competitive. But if their organization is one of those companies that use multiple clouds, such as, Infrastructure- as-a-Service (IaaS) and Software-as-a-Service (SaaS) they have security issues to consider. In this multi-cloud world, the chances of security breach and cyber-attack are high which makes threat control and accountability more difficult and expensive as security teams have to protect everything in the multi-cloud environment with a well thought threat management as they can’t secure highly elastic multi-cloud environment with traditional security solutions and strategies. There are a lot benefits to embracing a multi-cloud strategy such as, improved, cost savings, performance optimization, the ability to avoid vendor lock-in, the adoption of best of breed products and lower risk of DDoS attacks.

 

As multi-cloud is the adoption of infrastructure and solutions from different cloud vendors, security challenges arise for companies. Each cloud service comes with their own tools that can increase complexity. Therefore, multi-cloud environments require new management solutions to optimize performance, control costs and secure complicated mixes of applications and environments.

 

Here below are few tips that help companies to develop an effective multi-cloud security strategy:

 

  • Technology: As the cloud security requirements of every organization grows constantly, it’s highly recommended to evaluate the flexibility of the technology that is used for cloud security. So, IT department must be able to ask these fallowing questions and answer them: What technologies is the organization using for security? Are all of them functioning well or not? Are the tools scaling properly to fit the organizational needs? Are these tools easy-to-use for security team? Has your organization considered an all-in-one and well-integrated platform? Once you are able to answer these questions successfully, it will be easy for you to determine the technologies you want to keep, the ones you want to weed out, and the gaps that need to be filled.

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  • Vulnerabilities: Organizations must perform inventory of security vulnerabilities that they have and those they had in the past because understanding them clearly can help appropriately to shape their organization’s cloud security efforts in future. So, IT manager must ask the following questions while defining the vulnerabilities: What kind of attacks can the vulnerability of their organization attract? What vulnerabilities does the industry deal with currently? What kind of security threats are they unprepared for?

 

  • Transparency and scalability: The strength of a cloud-based enterprise environment lies in its scalability and elasticity. However, this often leads to an unpredictable data flow, which is problematic for many security solutions. Therefore, multi-cloud security must be integrated to work effectively. The integration of security tools enables cross-platform transparency and consistent security. The cloud security architecture must also be dynamic, flexible, and able to move with cloud workloads and applications as they expand.

 

  • Automation: Cyber ​​criminals are aware of the complex nature of multi-cloud and exploit vulnerabilities between different network segments and environments. The only efficient approach to use of multiple cloud services is to have a single standard for policies that are applied automatically to each environment. The policies cover such areas as virtual servers, workloads, data storage, traffic flows, compliance/regulation, reporting and security. It’s also easier to apply updates and changes when you have a single configuration across different infrastructures because the changes propagate seamlessly from environment to environment.

 

Conclusion

The digital transformation is leading the transition to multi-cloud networks and requires a strict security management. By integrating the native security features of all clouds into the multi-cloud security framework, companies can multiply their cloud security. This is the only way to protect data, workflows and resources while meeting the challenges of performance, scalability and complexity of a constantly evolving multi-cloud environment.

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