Threat actors are getting smarter every day, infiltrating businesses via compromising credentials and servers.
However, attackers continue to struggle in correctly mimicking system and user actions. To detect possible cyber risks, cybersecurity has exclusively relied on rule-driven frameworks.
The rule-based method is an important aspect of layered analytics security today; however, smart attackers may avoid triggering many of these criteria set up in systems, and it can be difficult to discover personnel operating maliciously. Behavioral analytics provides a people-centric security by analyzing user and entity data throughout a business and identifying unusual behavior that may be an indicator of a threat.
However, the question arises, why is behavioral analytics the fundamental notion for improved detection?
Security operations teams may enhance their signal-to-noise ratio and spot malicious actors more quickly and simply by tracking, monitoring, and alerting on behavioral changes. To assess trends, patterns, and actions, modern user and entity analytics (UEBA) methodologies combine machine learning, statistics, and aggregations with human-in-the-loop capabilities.
UBA collects data and analyzes it by using machine learning and other analytic techniques. It can protect organization data by detecting insider threats by spotting unusual or malicious activity carried out by employees and contractors who have authorized access. It can also detect threats caused by negligent or error-prone insiders, who can carelessly create a vulnerability.
Detecting insider threats is one of the most important uses of behavioral analytics in security. Insider threats are attacks by employees of an organization motivated by monetary gain or vengeance against the company. Employees have access to critical information that they utilize in their jobs, thus hacking isn’t necessary to take it from the organization. As a result, security restrictions are frequently ignored. Behavioral analytics, thus, may be utilized to identify and notify the security team to anomalous employee behavior.
UEBA software, which is widely used, detects zero-day threats. Zero-day attacks are novel attacks that have never been employed previously, hence no rules have been created to identify them. Because behavioral analysis analyzes past behavioral data to determine what is abnormal, these new threats are frequently identified because they employ new executables and techniques that are unusual in order to break a company’s security.
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inDefend: Unified User Behavior Analytics and Insider Threat Management Solution
inDefend is a one-stop solution to help protect your data from all kinds of insider threats within your organization. It allows you to monitor your employees’ behavioral patterns and pinpoint potential avenues for data exfiltration. This solution is built to achieve complete transparency over all the digital assets residing within your organization. With our unified solution, you can quickly tackle various kinds of security issues related to data exfiltration.
It offers a proactive approach to the organization as follows:
Insider Threat Management: Get a complete user behavior analysis to protect your sensitive data from being compromised by employees by monitoring their activities and communication habits.
Real-time Alerts: Get real-time incident alerts for any data exfiltration activity that takes place within the organization.
Accurate Analytics: Maintain actionable intelligence on the crime, the system is originated from, and the person who committed it.
Detect: Get detailed cyber intelligence reports which highlight the critical and sensitive data leakage scenarios with granular visibility into team dynamics and organizational ecosystem.
Superior Control: Block specific channels or devices in case any sensitive data exfiltration is detected.
Enforced Encryption: Secure multiple endpoints with implemented encryption on external storage devices to restrict the use of sensitive information or files.