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Everything that makes employees’ lives easier makes yours harder. Detecting insider threats - both employees and cybercriminals pretending to be employees - has never been more difficult or more important. The cloud technologies that make everyone else more efficient can make security less efficient. They’re noisy. They send a lot of alerts. You’re tired. You’re overworked. You’re overloaded.
Graylog anomaly detection will help you sleep better at night. Still, you won’t be as exhausted because our AI/ML behavioral analysis can automatically give you the high-fidelity alerts necessary to mitigate insider threats.
Anomaly Detection, one of the powerful features in Graylog Security, provides you with UEBA capabilities at scale, running Artificial Intelligence / Machine Learning (AI/ML) that identifies deviations from “normal” behavior for users and entities (UEBA), creating high-fidelity alerts.
Spend less time reacting and more time securing with Graylog’s AI/ML Anomaly Detection that can:
Know your “normal.” Defining normal user behavior to prevent insider threats is increasingly challenging, with people wearing different hats while accessing and sharing more data.
Anomaly Detection AI/ML uses your data to define baselines by combining:
Use built-in knowledge from real-life examples mapped to the MITRE ATT&CK framework, including:
Visibility Into Credential-Based Attacks
Gain visibility into the risky activities that indicate credential-based attacks. Graylog Anomaly Detection provides high-fidelity alerts that detect attacks that “hardcoded” correlation alerts might miss.
Graylog’s Anomaly Detection can detect credential-based attacks, like brute force, and lateral movement within your environment by aggregating, normalizing, and correlating events like:
Not every data change or download is necessary. Sometimes, it’s accidental, and other times malicious.
Graylog’s Anomaly Detection gives you the visibility you need by detecting risky activity spikes like:
Prevent malicious or inappropriate data exfiltration by reviewing download activity across:
Get alerts that make investigations meaningful by reducing the noise from cloud applications and engaging in lightning-fast investigations.
Graylog Anomaly Detection aggregates and correlates insights from across your environment, bringing together UEBA, event log, and threat intelligence data for high-fidelity alerts with the ability to: