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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:
Defining Baselines
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:
What does AI / ML for Graylog Security look for?
Graylog Security’s AI/ML combs security data for unusual activity by users and entities.
What does Graylog Security Anomaly Detection Include?
Graylog Security Anomaly Detection includes:
Is there any limit to the data that Graylog Security Anomaly Detection works with?
Graylog Security Anomaly Detection works with any relevant data within your organization, and there is no penalization for missing data sources.