Know UEBA tools. As cyberattacks increase in number and sophistication, and as the threat surface grows, and so does the risk, organizations are under intense pressure to protect themselves from breaches. Security leaders are constantly challenged to keep up with evolving hacker tactics that easily bypass traditional cyber defence systems’ signatures, rules, and patterns. Complicating this challenge is the need to secure hybrid on-premises and cloud environments. Before altering business operations, SIEM Security helps companies discover potential security threats and vulnerabilities.
User and Entity Behavior Analytics (UEBA) has proven to be the most effective approach to end-to-end management and monitoring of identity-based risks and unknown threats across all enterprise environments. UEBA security draws on the context of big data. It is driven by machine learning models rather than signatures or rules to provide invaluable visibility and risk assessment of suspicious activity.
UEBA uses algorithms and machine learning to detect anomalies in the behaviour of users and non-human entities such as routers, servers, endpoints, and other network devices. UEBA looks for unusual or suspicious behaviour that deviates from the baseline of standard day-to-day patterns or usage. For example, if a particular user typically logs into the network from an Atlanta IP address, and on a given day, the same user credentials log in from both an Atlanta address and a Los Angeles IP address during a two-hour window, the UEBA security system would consider this an anomaly. You can send an alert to a security administrator, or if automation is in place, the user can be automatically disconnected from the network until the situation is investigated.
UEBA Solution quickly identifies anomalous activity to maximize timely response to incidents and automated risks. A wide range of use cases makes UEBA scalable and valuable. For organizations to effectively address cybersecurity challenges, their use cases must meet their specific needs and diverse requirements now and in the future.
Below are critical UEBA use cases to support a modern next-gen Security Operations Center (SOC). Protection
LTS Secure also provides industry-specific pre-packaged analytics for healthcare, finance, government, retail, manufacturing, and insurance use cases. These models focus on addressing the unique challenges and threats of each industry. This reduces customization or implementation efforts to create industry-specific models from scratch. Developed in collaboration with the LTS Secure team, technology, channel partners, and customers, these models consider telemetry from specialized systems, fraud/threat scenarios, and standards.
The breadth of UEBA use cases assures customers that their advanced security analytics needs are met. Common benefits include:
To know more for UEBA, visit https://en.wikipedia.org/wiki/User_behavior_analytics.
The UEBA system compares established baselines to current user behavior and calculates a risk score to determine acceptable deviations.
The three pillars of UEBA are – use cases, data sources, and analytics.
A SIEM platform allows you to see all your security events. Here you can analyze, research, correlate and create reports, dashboards, and more. UEBA detects abnormal behavior, compares data with various sources, and analyses detected problems.