AI-powered software analyzes data & networks for cyber threats & anomalies, using machine learning to detect deviations from normal behavior
Sentinet is an advanced threat detection and response platform that leverages artificial intelligence and machine learning to protect organizations against cyber threats. It continuously monitors an organization's networks, endpoints, cloud environments and other attack surfaces to detect behavioral anomalies and threats.
Using unsupervised machine learning, Sentinet establishes a baseline of normal behavior across users, devices and systems. It then uses this baseline to identify deviations that could indicate cyberattacks, compromised accounts, malicious insiders, or policy violations. Sentinet can detect both known and never-before-seen threats that other security tools may miss.
When Sentinet detects a potential threat, its Threat Intelligence Engine performs correlations across data sources to determine if a threat is real. It then automatically takes response actions like killing processes, quarantining files, or isolating systems. Sentinet also provides detailed alerts and forensic data to security teams for investigation.
Key capabilities include behavioral anomaly detection, threat intelligence, user and entity behavior analytics (UEBA), AI-driven threat hunting, and automated response. It integrates with other security tools like SIEMs to strengthen defenses.
Sentinet aims to reduce the time security teams spend detecting and responding to cyberthreats through the power of AI. It works 24/7 to monitor environments and surfaced advanced threats early to mitigate potential damages of a breach.
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