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Four Future Trends Organizations should Look up for the Future of DevOps in 2018

Many research analysts such as Gartner and Rackspace stated in the recent years that DevOps literally and fundamentally transformed the way IT organizations function by successfully removing the silos between the much important development and the operations teams. This impounding co-operation between these teams results in better collaboration and greater reliability thus enabling organizations and enterprises to sustain and move ahead in this digital world with high quality products that deliver quicker ROI. Now, let us see some of the future projections that will dominate DevOps in 2018:

1. Enterprise Adoption of DevOps will be on the rise: There is a wide scale adoption of DevOps as the basic DevOps principles reached critical masses and continue to rest in the hearts and minds of many organizations. There had been many studies conducted by various research analysts that state; there is a huge increase in the adoption of DevOps by nearly 84% in 2017. DevOps adoption has gone wide and experts believe that large organizations continue to practice this methodology at scale.

2. Automation will take the front seat: Along with DevOps there is a lot of talk around Automation. There is a zero touch automation that could be the possible future of it. It is primarily important to understand the 6 C’s of DevOps cycle and make sure to apply automation between these stages and this could be the main advance to look up at in the 2018.

3. Shift in focus will be from CI Pipelines to DevOps Assembly Lines: Pipelines typically show a better visualization of the application from source control to production. Organizations continue to invest their time and effort into the importance of automating their complete software development life cycle. It is mostly predicted that there will be a shift from CI pipelines to DevOps assembly lines.

4. Kubernetes is going to evolve more effectively: It is important to note that Kubernetes has obviously become the fastest growing container technology due to its offerings and ease of use. It is more in the eyes of many CIO’s and technologists and is expected to evolve effectively in 2018.

Now how can Organizations leverage DevOps through using Devoptimize?

Let us know how DevOptimize Typically Eases DevOps Implementations: DevOptimize enables rapid delivery of capabilities to the end consumers by breaking the silos between product owners, architects, developers, testers, release managers, and system operators and thus stimulating collaboration and innovation between development and operations teams. It also offers iterative development process and encompasses all aspects of DevOps lifecycle to achieve maximum effect and efficiency paving way for more agile deployments.

About Author:

I am a Senior Content Writer with over seven years of Content Writing experience exclusively into the IT industry. I write articles on core technology latest topics like AI, Big Data, and Machine Learning and in this article I tried to focus on the four latest trends predicted for the future of DevOps.

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A Look up at the 5 Types of IT Security Threats Facing Businesses

Businesses continue to consider how vulnerable they with cyber threats all around, as they have become a commonplace and it is something that favors attackers and hackers. In most cases they attack at a faster rate thus causing data theft, and millions of dollars loss along with stating diminished customer and end user confidence. It is also predicted that these will become more common in the future with the increase in the number of connected devices such as personal devices, virtualized networks, sensors and increasing points of connectivity. In fact, cyber security is a boardroom level agenda item as business leaders want to ensure that they have in place the investments necessary to protect intellectual property and customer data.

Now, let us see some of the most common IT security threats that businesses continue to face:

1. Mobile Devices (BYOD): Most of the organizations allow their employees to bring their own device (BYOD) that connects to their business networks. This process eases the way employees connect, work and play. Although, there are many benefits of a BYOD policy as it helps improved productivity, lower costs and ensures higher mobility. But, it typically associates itself with many risks that include breaches of data, no full control on data, risks involved as it supports multiple types of devices. Thus, password protection, proper device registrations are some of the measures that need to be taken up by organizations.

2. Cloud Stack and Shadow IT: The rapid usage of cloud has introduced many new challenges and vulnerabilities. This has been causing additional vulnerabilities even due to Shadow IT that might introduce more security risks. Businesses should proactively adapt to constantly protect them from these evolving threats in the most well defined manner by adopting risk management and compliance.

3. Ransomware and Hactivists: There was a wide spread Ransomware attack during 2017 and it continues to be a major malware challenge for businesses even beyond 2017. It works by preventing the user from accessing information or having the ability to use a machine before a payment is made. However, in many cases, hackers continue to exploit the user even after the first payment has been made.

4. Distributed Denial of Service (DDoS) Attacks: These attacks continue to be the most notorious cyber security attacks in the recent years. These DDoS attacks are on the rise in the recent years but it typically gains access to corporate data and usually harms the victim’s services. When once the services are affected, the intervening services and customers are in turn affected.

5. Phising Attacks: This has become more and more common cyber crime in which the target is contacted by emails or text messages and lures both employees and individuals and their information is used to access personal data thus causing huge personal information and later financial losses. Spear Phising is also becoming more significant security threat today. Many individuals and organizations have been entangled in this.

Then how can Businesses protect themselves?

Certain solutions like SecOps provide superior customer experience along with a robust cyber security. This security product has capabilities of secure operations while focusing on delivering a seamless customer experience. This specific ‘Security and Experience’ go together approach finds the right balance between the ease of user experience and effectiveness of security protection. It is an enabler of new business opportunities in addition to protecting your company’s people, data, and systems. Cloud Security is achieved through following certain cloud adoption strategies with specific focus placed on security and privacy to improve all operations and make them secure.

About Author:

I am a Senior Content Writer with over seven years of Content Writing experience exclusively into the IT industry. I write articles on core technology topics like AI, Big Data, Machine Learning along with other advanced data analytics and cyber security topics. In this article, I tried to focus on the five major IT security threats that businesses are commonly facing.

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5 Top Challenges of Big Data Analytics in Healthcare

Big data has become the most disruptive technology that every industry segment uses today to improve their services and especially it has more significance in the healthcare sector. Big data is collected from various sources that include both internal and external sources where data is systematically analyzed to discover patterns and successfully use those findings to improve and avail quality health care services. As Big data is expanding its significance, the electronic health records (EHR) turn out to be a viable mode to pull out actionable insights from them. For healthcare organizations that successfully integrate data-driven insights into their clinical and operational processes, the rewards can be huge. 

But typically the road to healthcare analytics has a lot of variations involved within them and is filled with some challenges that have been listed below:

1. Discrepancies with respect to Data Capture: It has been found that Data comes from various sources and usually this data is not clean, complete, accurate or properly formulated. This sort of data shows convoluted work flows and does not provide a complete understanding of the health complications and does not provide actionable insights. Thus, valuable data types should be used for specific projects and proper clinical documentation should be followed.

2. Lack of proper integration of data between clinical and administration systems: There is often an integration gap that exists between the patient care and the administration that looks up to it. The electronic medical records maintained by physicians on the hospital floor should be properly reflected in the insurance claims and proper billing. Care should be taken such that proper treatment codes are actually reflected for both administrative purpose and also for enabling proper big data analytics such that it delivers actionable insights.

3. Non implementation of proper operational analytics: Healthcare data is mostly dependent on the electronic health records and this forms an integral part of the operational analytics. Proper analysis of this data helps to evolve new strategies to achieve better profitability and thus enable better and quality healthcare to patients.

4. Meeting HIPAA Compliance requirements: It has become important in meeting the HIPAA compliance as it requires a specific set of security measures for EHRs that have to be shared among practitioners and they should also be made accessible to the patients. But, this has become a major challenging factor for most of the healthcare providers as this needs proper implementation of network systems and lack of knowledge of cloud technologies that is also equivalently important in order to maintain large data.

5. Discrepancies with respect to Data Storage: Most healthcare providers are unaware of their data storage as it involves cost, security, and specific performance issues with their IT departments. It has also been observed that as the volume of healthcare data grows exponentially, some healthcare providers are no longer able to manage the costs and impacts of on premise data centers. Thus, cloud storage needs to be implemented as it is increasingly becoming popular due to low costs and enables more reliability.

What Should Healthcare Providers do to avail best Big Data Analytics Services?

There are certain good and reliable Big Data Advanced Data Analytics service providers with Edge IoT solutions that help businesses to become more agile and smart. Interestingly, the otherwise painful and tedious jobs such as data availability, speed to analysis and inability to predict the future are well-taken care of by Edge IoT. It further provides a perfect solution to make streaming data available as fast as possible to make complete usage of machine learning and analytical models.  

About Author:

I am a Senior Content Writer with over seven years of Content Writing experience exclusively into the IT industry. I write articles on core technology topics like AI, Big Data, and Machine Learning along with other advanced data analytics topics. There has been an immense importance of advanced data analytics in healthcare segment. If the electronic health records are analyzed with analytics, it delivers and enables improved, quality healthcare and eventually facilitates cost reduction.

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5 Significant Cyber Security Risks Businesses Should Ponder

Summary: Cyber security is a major cause of concern for all types of businesses as they seem to be on high end in the recent years. There are many significant cyber security risks but some of them include human factor, password protection measures, aging infrastructure, difficulty with data integrations and lack of proper security recovery plan.

 Body:

In the recent years, it has been observed that many businesses have been rapidly affected by various types of cyber attacks. Companies continue to be under great pressure and strive to keep their information safe and secure. Some of the common security risks businesses continue to face have been listed below:

1. Human factor and peoples’ reactive mindset: The employees working in the business could form the major base for cyber threats as they are more prone to open phising emails or download links that could turn out to be malware. Moreover, the top level management or people at the C level will be less prone to become malicious insiders. Due to this a serious concern of privilege abuse by lower level employees is more common as they become malicious insiders and measures need to be taken to overcome this problem.

2. Password protection measures play vital role: Businesses should be extremely aware that they should maintain all important business accounts with a two factor password authentication such that it may not be easily hacked. This password needs to be changed and maintained effectively once in 30 or 45 days to keep it more safe and away from any security attacks.

3. Aging Infrastructure and drastic Patch Management necessary: In addition to the above security risks, hardware can also be a major issue as lifecycle of most of the devices is becoming increasingly shorter these days. Purchase only new hardware that can uphold updates such that aging factor can be taken care off. Recent attacks such as the WannaCry and Petya outbreaks have underlined the importance of regular software updates that needs to be taken up. Even for Eternal Blue, it allowed the malware to spread within corporate networks without any user interaction, making these outbreaks particularly virulent. The above incidents do show the importance of protecting vulnerable systems and patching is a key way to do it.

4. Difficulty with Data Integrations: It is interesting to note that the amount of data that flows through an organization could for reasons overwhelm anyone as it contains very critical information. This could be about employees, partners, stakeholders, service providers etc. But integrating various data sources is crucial to have a clear understanding of various risks involved within or outside the organization.

5. Lack of a Proper security recovery plan: Most businesses are still unaware of the impounding risks with cyber security and lack a proper plan to overcome such situations. They need to draft a plan that contains the actions that could be taken up when there is a cyber attack and thus can quickly and efficiently minimize the risk and save information or other economic losses.

How Can Businesses protect themselves?

Certain solutions like SecOps provide superior customer experience along with a robust cyber security. This security product has capabilities of secure operations while focusing on delivering a seamless customer experience. This specific Security and Experience go together approach finds the right balance between the ease of user experience and effectiveness of security protection. These solutions cover the entire software lifecycle, from secure design to security testing in development and QA, app self-protection and monitoring in product and patching. Security is an enabler of new business opportunities in addition to helping protect your company’s people, data, and systems. Cloud Security is achieved through following certain cloud adoption strategies with specific focus placed on security and privacy to improve all operations and make them secure.

About Author:

I am a Senior Content Writer with over seven years of Content Writing experience exclusively into the IT industry. I write articles on core technology topics like AI, Big Data, Machine Learning along with other advanced data analytics and cyber security topics.

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How to Leverage Service Virtualization for DevOps?

Summary: DevOps is an agile methodology that allows developers, testers and operations teams to work together and break the silos. But, maintaining a real time environment for DevOps has many constraints involved and leveraging service virtualization proves to be cost effective for DevOps.

Body:

DevOps has been attracting enterprises for quite some time now as the unique integration of development and operations continues to gain traction to ensure the development of quality software products with shorter releases. Moreover, DevOps implementations also promise faster delivery schedules due to continuous integration and continuous delivery. Specifically DevOps QA, developers and testers use agile and lean methodologies to test software during various stages of the software development lifecycle. As DevOps employs Agile methodologies that helps to break silos, a real time environment is the key where different components of the software can be tested that assumes a important significance.

But, in order to create a real test environment, there are a number of dependencies which have been listed below:

·       Various teams such as developers, testers, operation teams might have certain internal dependencies

·       Dependencies might arise due to distance, language, time zones, which cannot be included easily under a real time test environment

·       Costs might also be an important factor hindering the DevOps effectiveness

·       Software architecture components might be recently developed or might not have been properly tested

·       Heterogeneous enterprise IT architectures and lack of proper collaboration also act as hindrances

·       Lack of proper visibility into what happens in the production environment

There are also certain other factors that cause hindrance for DevOps operations and for continuous testing. But, the above mentioned challenges can be successfully overcome through a Service Virtualization technique. If this technique is employed, it allows and helps in the proper integration of various disciplines of DevOps testing to be done on par and helps to save time and cost and also ensures enhancement of an organizations brand value. This is an environment that takes advantage of the below points:

·       It helps create a functional test environment that facilitates no real dependencies on datasets

·       Errors, bugs and glitches if any can be easily addressed more promptly and delivers better quality software

·       Different types of data sets can be used to check the behavior of various dependencies

·       Integration of various disciplines becomes easy

·       It successfully leads to cost savings and time savings

What is DevOptimize and how does it help to achieve Ease of DevOps Implementations?

DevOptimize enables rapid delivery of capabilities to the end consumers by breaking the silos between product owners, architects, developers, testers, release managers, and system operators and thus stimulating collaboration and innovation between development and operations teams. It also offers iterative development process and encompasses all aspects of DevOps lifecycle to achieve maximum effect and efficiency paving way for more agile deployments.

About Author:

I am a Senior Content Writer with over seven years of Content Writing experience exclusively into the IT industry. I write articles on core technology latest topics like AI, Big Data, and Machine Learning and in this article I tried to focus on the topic as to how service virtualization can be leveraged to achieve good collaboration of all disciplines of DevOps.

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Importance of Advanced Data Analytics in Healthcare

Big data analytics is truly playing a significant role especially with respect to healthcare sector along with its affectivity being felt in all other sectors. Various Lean, Six sigma and many other machine learning algorithms are on the go that facilitate easy electronic records maintenance, deliver quicker and quality healthcare and it also leads to reduced overall costs.

Undoubtedly Advanced Data Analytics continues to play an important role in various industries especially this is very true with respect to healthcare segment. In this extensively visible and viable healthcare segment, there is a lot of heterogeneous medical data that is widely available that needs to be properly analyzed to get good inferences. With the advanced technology of Artificial Intelligence and Machine learning zooming up, there comes the usage of scalable data mining algorithms that have become very important for the data scientists. Interestingly, Healthcare is using and adopting different ways of information systems to take business operations in clinical care to a new and different level. 

Data analytics in healthcare is a mixture of clinical innovation and technology altogether. This effective technique supports a wide range of healthcare functions to improve overall services and systematically overcome the problems in the sector. Significantly, Big data analytics platform is capable of processing large terabytes and petabytes of data already existing thus paving effective way to take healthcare to an altogether new level.

What does Big Data Offer to this Healthcare Segment?

1. With intricate data analytics, it develops actionable insights that are useful to healthcare experts to deliver better health results

2. Helps to organize the future vision as analytical data helps to plan much ahead with the available results

3. Healthcare management, planning and measurements tends to become easy and simple

4. It mobilizes to boost up incomes and reduce time to value

5. It is easy to access critical data through the Electronic Medical Records (EMR)

6. Evolution of chain management system brings in better patient centric healthcare that is error free and delivers quality treatment

7. Numerous deep learning algorithms help Neuroscience and Radiology specialists to plan treatments more efficiently and thus helps to reduce the time to diagnose cancer in a much better way

 Different Techniques Used in Healthcare Data Analytics

Lean and Six sigma methods have been more in the usage to improve this sector. In order to analyze huge terabytes of data that is heterogeneous, scalable machine learning is being used widely along with many data mining algorithms. Big data analytic systems such as Hadoop family (Hive, Pig, HBase), Spark and Graph DB are also being more widely used. New innovative Deep learning models and packages such as tensorflow tend to bring in quality healthcare. They help reduce wastage and human errors also tend to decrease drastically.

What Should Businesses do to avail best Data Analytics Services?

There are certain good and reliable Advanced Data Analytics service providers with Edge IoT solutions that help businesses to become more agile and smart. Interestingly, the otherwise painful and tedious jobs such as data availability, speed to analysis and inability to predict the future are well-taken care of by Edge IoT. It further provides a perfect solution to make streaming data available as fast as possible to make complete usage of machine learning and analytical models.           

About Author:

I am a Senior Content Writer with over seven years of Content Writing experience exclusively into the IT industry. I write articles on core technology topics like AI, Big Data, and Machine Learning along with other advanced data analytics topics. There has been an immense importance of advanced data analytics in healthcare segment that is driving improved, quality healthcare and eventually facilitates reduction in costs.

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Deep Learning and Its Impact on Image Recognition and Speech Patterns

Deep learning is a subset of Artificial Intelligence (AI) that permits software to train and perform all by itself tasks like speech recognition and image recognition. It has a lot of significance in various fields like medical diagnostics; robotics and a lot of innovations are currently being done to assure its superiority with real time applications.

Deep Learning has been an important Artificial Intelligence technique which allows the computers to establish how to recognize the desired sentences, objects or words. It is visibly true that Deep Learning has suddenly started changing our lives with numerous modes of speech recognition functions that have been made available on our Smartphones. These features typically help to increase our viable interactions by just talking to them in a common understandable language. Some of the most dominant options are available with Apple’s Siri, Microsoft’s Cortana, Amazons’ Alexa as well as the many voice responsive features Google has tweaked in. According to certain search giants data, it has been observed that users have nearly tripled with the usage of speech interface applications in the recent times. Interestingly, there have been many new innovations that are in progress in the recent years with respect to voice recognition.

Let us know some of the most important impact this Deep Learning has in real time environments:

Certain of the medical streams claim that they will be able to use computers to read MRI’s, X-Rays, CT Scans etc significantly better than radiologists

Diagnosis of cancer and other chronic diseases becomes more easy

Its impact is felt in self-driving cars, autonomous drones

Also being used in Robotics to achieve major advances and improvements

Artificial Intelligence encompasses a vast range of technologies like traditional logic and rules based, that enable computers to solve problems that ensures something like super natural thinking. Significantly and undoubtedly deep learning is driving today’s AI explosion. The recent advancements in neural networks also have made the machines to be wiser than humans as it easily identifies diseases and thus identifying tumors in MRI scans.

With the vast number of impounding Deep Learning uses and its high level of significance in real time, it is immensely important to partner with certain able service providers to take complete advantage of this technology. It is more so needed to partner with certain robust solutions like Edge IoT that provides a perfect complement to make streaming data available as fast as possible to machine learning and analytical models. There are certain Advanced Data Analytics providers in the industry and leveraging their IoT solutions could deliver excellence in cloud-based processing that ensures business excellence. There are various Edge IoT Solutions readily available that helps deploy cloud services on a plethora of devices (POS system, IoT device, Business outlets etc.) allowing you to manage data effectively, run analytics and gain business insights.

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5 Significant Open Source DevOps Tools for Automation

DevOps processes are well defined and they bridge the gap between the development and the operations teams. There are many tools to perform DevOps automation which might be open source or paid tools in the market. Some of the significant tools are Icinga, Chef, Jenkins, Docker and Ansible.

DevOps signifies that there should be more co-ordination and co-operation between the Development and the Operations teams. It reduces the silos between the two teams in a well defined manner such that the operations and the development teams work hand in hand. This sort of unification allows for better and quality product delivery. With more and more enterprises moving towards DevOps in order to streamline development and deployment, this is all possible with certain open source DevOps tools. The major advantage with these open source tools is that they provide a lot of visibility into the source code and helps in handling transforming market needs. It streamlines the process of development and deployment thus finally improves overall product quality.

Some of the most predominantly used DevOps Tools are:

1. Icinga (Nagios) for Infrastructure and Service Monitoring: Significantly, this is a predominant open source tool developed as a fork from the Nagios monitoring application which is also an open source network monitoring tool. This tool has good affectivity as it has high modularity and facilitates to add interfaces and plugins to suit the project needs. This is a best in class monitoring tool with high multithreaded design that is flexible for integrations with plugins, modules and third party services. The most interesting fact about this tool is that it supports all major configuration management systems.

2. Chef for Configuration Management: This is an open source DevOps tool that is useful to achieve speed, scale and consistency. It is cloud based and can be used extensively to ease out complex tasks and perform effective automation.

3. Jenkins for Monitoring of Repeated Tasks: It is an important tool that helps to integrate project changes very easily by quickly finding out the issues. This is a highly useful DevOps tool for automation. Typically, this built in GUI tool has very little maintenance and offers nearly 400 plugins to support building and is used to perform testing virtually on any project. It supports the most important DevOps feature of continuous integration and continuous delivery.

4.Docker for Container Management: IT facilitates DevOps teams to build, and run distributed applications and facilitates to work collaboratively. It supports flexible image management and has a private registry to store and manage images and configure image caches.

5. Ansible for Configuration Management: This is one of the configuration management tool that is very similar to Puppet and Chef. If simplicity is your desired KPI then you can choose Ansible. It forms a simple way to automate the entire application lifecycle. It further helps DevOps teams to scale up automation and speed up productivity. It helps to manage complex deployments and thus speeds up the development process.

Integrate with an Agile DevOps Service Provider to catch up with your product delivery for an Effective DevOps vision.

 It is all possible to build superior products as you become agile through continuous development and continuous deployment through adoption of DevOps methodology that embeds an agile manifesto.

What is Agile Manifesto?

Individuals and interactions over processes and tools.

Working software over comprehensive documentation.

Customer collaboration and contract negotiation.

Responding to change through following a plan.

DevOptimize enables rapid delivery of capabilities to the end consumers by breaking the silos between product owners, architects, developers, testers, release managers, and system operators and thus stimulating collaboration and innovation between development and operations teams. It also offers iterative development process and encompasses all aspects of DevOps lifecycle to achieve maximum effect and efficiency paving way for more agile deployments.

About Author:

I am a Senior Content Writer with over seven years of Content Writing experience exclusively into the IT industry. I write articles on core technology latest topics like AI, Big Data, and Machine Learning and in this article I tried to figure out some unique Open Source DevOps tools in a lucid and clear manner.

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Cost of automated testing, is it worth it - DevOps

DevOps framework is relatively new concept to software industry.  The reason why it is catching up momentum is DevOps aims at quality software releases at reduced time.   It promotes continuous integration and communication between the application development team and the systems operations team resulting in faster and quality assured software development. However, DevOps implementation requires increased volume of weekend regression runs and testing substantially. This increased volume of testing brings the need for test automation as DevOps methodology cannot be successfully implemented with large number of test cases to be run manually.

Some of the companies still rely on manual testing expect DevOps to be successful is a disappointment.  The decision to implement DevOps process in an organization is to be ever ready to release working software consistently. This process may also involve software package releases several times a week. Testing experts with hands on manual testing process experiences show that manual testing tend to slow down the process with consequences of wastage of resources.   All this manifests automation testing as a key for success of DevOps.

Looking at the cost incurred for automation testing and try analyzing the benefit case analysis, there is fairly good justified business value. The following three key reasons demonstrate why one should consider integrating automated testing into DevOps:

Automated Testing Ensures Quality

Mistakes can slip in manual testing process as it is a time-consuming process, there is a chance that the testing team may be a little laidback in testing every piece of code.  Though the fact is masked, it is the human factor that acts upon even the best developer or programmer. Having said that, though automated testing is not cent percent guarantee, but still it is nearer to perfection when compared to manual testing.

Automated Testing Saves Time

Manual testing test cycles tend to extent for weeks unlike test automation helps detecting bugs faster in fixed time saving time, where the team can spend time in doing some more relevantly important.  Once the bugs are detected faster the team can start working on fixing the glitches, where manual testing still takes time in finding the bugs.  

Automated Testing Reduces Cost

Time is Money is a fact of life, time saved is money saved. Changes made to the code can be verified immediately when automated testing is used, ensuring that the changes work and no major glitches to be handled while deployment, building trust among the clients.

Unlike Manual testing is a big hassle with increased Time to Market and ROI, as every test is time taking with human intervention. Automated testing is an aspect of cost saving and worth spending.

Finally, to conclude, in true DevOps style, test automation engineers and development need to work together helping the automation tester to develop test scripts and maximize the test coverage. Builds are generated automatically using these scripts and code, supported by CI/CD tools.  Integrating automated testing with DevOps framework is the best thing to save time and money with enhanced quality and time to market.  So, it’s worth to spend time and resources to setup automation.

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Cyber analytics is the next big thing in Cyber security

The world of internet has revolutionized the way we do business today. We can't imagine communicating or exchanging information without the internet.    Exactly as the internet, mobile technology, cloud and the IoT are proving to be the next big waves that are taking business changes by storm.  These technologies are radically changing the way we communicate, exchange and share information, challenging every traditional method of business. And business is compelled to adopt changes that produce tangible business benefits for market sustainability.  However, along with the benefits the world is also witnessing ever larger and more frequent security breaches of trusted IT systems.   Cyber security is most prioritized, as companies are terrified by the consequences of security breaches that weave customer trust resulting in losing market value.   So, everyone is bullish on Cyber-Security and particular about having a cyber security strategy in their organizations.  But the question is, how to Predict, Prevent and Defeat cyber attacks in this age of increasing attacks/ threats?

Cyber security services

Cyber security is becoming one of the greatest challenges making cyber security services an important part of business strategies. As more and more cyber threats continue to evolve, lot of hesitation prevails in implementing new technologies due to concerns with security vulnerabilities and a lack of a comprehensive threat assessment.  Enterprises are in the pursuit of finding effective cyber security solutions that can monitor and provide real-time visibility on a range of business applications, networks, systems, and databases.

Security testing

Security of applications is of paramount importance to any business enterprise.  Organizations need   Security Testing Services models that blend deep understanding of industry best practices and   expertise in software testing services delivery to ensure that applications are secure, scalable, and agile. Whenever there is a software update/release, it throws open areas of vulnerability.  Continuous testing practices are need to assist businesses ensure that vulnerabilities are identified and fixed, much before any damage is experienced.  

These security measures are less effective than they could be because these tools and platforms generate an overwhelming amount of data that need to be analyzed.  The result is Cyber security combined with analytics that can create better visibility for security:

Cyber security + analytics = Better network visibility

Therefore, Cyber analytics is the next big thing in Cyber security.  Cyber Analytics is focused on behavioral analytics of high velocity, real-time contextual enterprise data. It combines Machine Learning, Big Data Technologies, and patented Algorithms.  Using Cyber Analytics provides insightful information and actionable cyber threat intelligence about security risks, targeted attacks providing room to take necessary countermeasures reducing the risk of damage to organizational data, network and applications.  

What difference does analytics make in the world of cyber security?  The following are the three areas where analytics can turn huge amounts of data into insightful and actionable information.

Network     data is vast.  When one can identify     the business context behind the behavior, it adds value to business. For example,     comparing a process to its peers? With this knowledge it is possible to evaluate     the behavior.

Advanced analytics blended with     modern computing platforms can go deeper into the data to find patterns     and connections that might not be possible otherwise.

By integrating analytics into     incident response program, there comes the real value.

In conclusion, attackers are in the notion that organizations are not quick enough in finding the indicators of compromise within their environments nor are they quicker in taking required countermeasures.    Cybersecurity analytics plays a key role of identifying and remediating these security gaps.

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The CMMI SVC/3, Navitas, providing Advanced Data Analytics and Cloud Services

Navitas is an ISO 9001:2008, 9001:27001, CMMI Level 3, SBA 8(a) EDWOSB  company, founded in USA in 2006 with offices in Virginia and Maryland. The company is specialized in providing Software Development, Business Intelligence (BI),   Advanced Data Analytics and Cloud Services.