Tag: Risk Management

Advanced cyberattacks and persistent vulnerabilities to your business frequently rely on compromised credentials or coercion of people to do actions that vandalize enterprise security. To detect these types of threats, you’ll need a robust solution that allows analysts to swiftly distinguish between regular and unusual network behavior. The UEBA module has the fastest time-to-value in the industry, allowing for same-day deployment and quick insights.

User and Entity Behavior Analytics (UEBA) is the application of machine learning and security research to discover when users or entities are engaging in unusual and unsafe ways. It tracks users’ interactions with data, systems, and apps to identify and attribute threats so that security analysts can respond swiftly. UEBA uses comprehensive context information to enrich security data. Context data improves event detection accuracy, decreases false positives, and allows for context-based searching and threat hunting. Machine learning, behavioral analytics, and threat modeling are all used by UEBA’s analytics engine to detect your top threats. As a result, analysts are continually on the lookout for your most critical security incidents.

According to Infosecurity Outlook, people have specified patterns of behavior, and behavioral analytics is about how we take those patterns and start to extract usable information from them.

UEBA is being adopted by businesses to bring advanced analytics and machine learning capabilities to their IT security arsenal. UEBA solutions recognize patterns in regular user behavior and identify anomalous behaviors that do not match those patterns and may be linked to security events.

Organizations utilize UEBA technologies to increase efficiency and risk management while minimizing financial and reputational loss. They bring value by allowing firms to prevent attacks, particularly those that originate from within the network, detect breaches more quickly to decrease exposure, and mitigate the damage caused by cyber threats. Organizations would be able to detect and respond to threats more quickly and easily if they used such technologies. Customers and business partners will trust organizations that use effective security and risk management strategies and processes. As a result, they can serve as a business enabler, assisting firms in meeting their data privacy and security obligations, as well as compliance goals.

Some of the Essential Features of UEBA that you should know are;

• Connects security information to identity and entity context.
• UEBA uses machine learning to provide powerful behavior analytics.
• Reduces false positives by analyzing the context of user, object activities and security events.
• Threat chains automate machine learning and analytics processes, reducing the time to detect and respond to threats.
• UEBA covers a variety of use cases for detecting cyber threats, fraud, non-compliance, and attacks from both inside and outside the company.

Security solutions like UEBA, which were once viewed solely as a means of lowering possible financial losses and increasing productivity, are now seen as a means of enabling a business. Organizations may better prioritize their investments to improve their overall security posture and enable them to satisfy privacy and compliance objectives by understanding what people are doing and how they interact with applications and data. Customers and business partners trust organizations that use effective security and risk management strategies and processes. Thus, they can serve as a business enabler, supporting firms in meeting their data privacy and security obligations, as well as compliance goals.