Modern-day business security leaders openly talk about maintaining intrinsic data on how users and systems behave. What do they do with this? When exactly do they need this? Who helps them in using this? Does it ease the pain of boosting the overall enterprise security and answering stakeholders? All of these shall be answered in this piece on Behavioral Analytics, one of the go-to methods for modern cybersecurity professionals to nip suspicious activities in the bud.
Ever wondered why police dogs enjoy the reputation of being so reliable? Or dogs tamed at home for that matter? If you have, you’re on the right track for reading this article about an effective manner of dealing with bad actors in the cyber world. Similar to real-life watchdogs, the primary task of behavioral analytics is to continuously note the normal conduct of entities and users. If there is any deviation from the normal, or expected, patterns, then that is detected as an anomalous behavior and reported for the next course of action. The technical term for this is User and Entity Behavior Analytics (UEBA), which employs machine learning algorithms and statistical analyses to detect significant deviations which might be (yes, possibly) potential threats to the organization’s security.
Behavioral analytics examines all possible trends, patterns and activities of different users and systems and profiles the users and workflows to understand the difference between the expected and the unexpected. By doing this, UEBA does more than just detecting suspicious activity – it also predicts future errors and trends. The applications can be broadly seen in two forms: Network Behavior Analysis (NBA) and User Behavior Analytics (UBA). In either case, behavioral analytics integrates various pools of data for implementing a data-driven event-management approach to counter threats to the cybersecurity of organizations.
It has been widely reported and accepted that more than 80% of breaches to enterprise systems begin with accounts getting compromised. As hackers disguise themselves as employees of the target organization, it becomes essential to look for anomalies in the behavior of organizational users and systems. However, the huge pool of data calls for an automated and streamlined approach to counter unforeseen situations. That is precisely what behavioral analytics brings to the table. Here we shall go through the array of multiple situations that employing UEBA can help in detecting:
Now that we have gone through what behavioral analytics is and what it is capable of doing, wouldn’t it be nice to know about the industry vendors providing such services? Enterprises of today certainly bank on reliable UEBA service providers to beef up their security systems. Of these, Parchment emerges as the most talked-about service that relies on machine learning to detect emerging threats inside its network and providing additional immunity to it. Some of the other well-known choices for behavior analytics specialists are
Some veterans in the industry rank high in this market too, with IBM, Hewlett Packard Enterprise and Intel Security being the leaders.
We keep talking about the latest trends in technology and best practices in the industry. Words such as automation, IoT and cloud have become parts of the common man’s diction now. Needless to mention, the volume and variability of data are growing at an almost exponential rate. At the same time, the exposure that enterprise systems get to external threats keeps rising. What do we make of these obvious fact checks? Preventive measures are no longer enough to safeguard businesses. It is time for every organization to, if not done already, deploy foolproof proactive strategies to detect cyber threats before it is too late. While behavioral analytics, not surprisingly, is a perfect fit for this situation, the reason for its usage should be kept transparent to the concerned stakeholders, especially the workforce. In this way, the mechanism to detect threats can be implemented seamlessly and the entire organization can continue to reap the fruits of its labor with minimal damage.
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Subham, Thank you for Summarizing the UEBA industry. However would like to share the Progress in the UEBA industry is no more restricted to SIEM and SOC operations but now covers all areas of Security spectrum. Example: DLP and UEBA bundles are now provided by Forcepoint as well as Symantec an Broadcom Enterprise Security Division.
UEBA is used for Multiple use cases which also includes now Endpoint Security and EDR stacks integrating the UEBA.
Similarly for Ecommerce Session Review with Identity and Fraud prevention Certain UEBA have made huge Strides.
UEBA is also available for integration with SOC/ SIEM not only as the Extension but to Enhance the SIEM Correlation and make it cover multiple use cases. IBM Qradar and Microsoft Azure Sentinel have extended the Use cases and Log Rhythm which had the Cloud based UEBA is planning to add the Capability enhancing the Onpremise Instance and Similar.
In all, as highlighted by you Behavioral Analytics is a need of the hour however When you add the Identity and Entity Use cases which means the PIM/ PAM Analytics with UEBA as well as IGA i.e Identity Access Management and IDentity Governance and Administration it enables businesses to solve a wider Entity (User, Devices and Applications) and bring Analytics intelligence at source to the Environment. Hope the above helps. Keep up the Good work and my best wishes to Look at IIT Kharagpur Peers in Engineering who have also worked on Use Cases to benefit IoT/ IIoT and Automotive Vertical use cases. Also you may want to explore the Nano Engineering and UEBA Correlation logic for Consumer as well as Business to Business Applications.