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Glossary · AiOps

Autonomous Threat Containment

Autonomous Threat Containment is the use of AI-driven systems to automatically isolate, block, or limit suspected security threats in IT environments without requiring immediate human intervention. In an AIOps context, it combines telemetry analysis, anomaly detection, and automated response workflows to reduce the time between threat detection and containment. Common actions include quarantining endpoints, revoking credentials, segmenting network traffic, or stopping malicious processes.

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Autonomous Threat Containment is the use of AI-driven systems to automatically isolate, block, or limit suspected security threats in IT environments without requiring immediate human intervention. In an AIOps context, it combines telemetry analysis, anomaly detection, and automated response workflows to reduce the time between threat detection and containment. Common actions include quarantining endpoints, revoking credentials, segmenting network traffic, or stopping malicious processes.