Real-time threat intelligence powered by autonomous AI agents. Protect your infrastructure before attacks happen.
From detection to neutralization in milliseconds — fully autonomous, zero human latency.
10M+ signals/sec from global infrastructure, filtered through real-time threat intelligence feeds
LLM-powered pattern recognition correlating signals across network, endpoint, identity, and cloud vectors
Autonomous containment, eradication, and remediation executed in under 200 milliseconds
Every layer of your infrastructure protected by adaptive AI defenses.
Real-time correlation across global threat feeds with autonomous pattern discovery and zero-day detection.
AI-driven incident response that contains, analyzes, and remediates threats without human intervention.
Identity-aware micro-segmentation with continuous verification across every network transaction.
ML models trained on billions of threat events predict attack vectors before they materialize.
Automated audit trails, real-time compliance monitoring, and regulatory reporting across 15+ frameworks.
Deep inspection of REST, GraphQL, and gRPC traffic with behavioral anomaly detection for every endpoint.
Former NSA, GCHQ, and Palantir engineers who architected national-scale security systems.
Former Director of Cybersecurity at Palantir. Led threat intelligence for three NATO member states. 15 years in adversarial AI research.
Built GCHQ's ML threat detection pipeline. Ph.D. in adversarial machine learning from Cambridge. 40+ publications in security AI.
Led NSA's Tailored Access Operations ML division. Pioneer in graph-based threat analytics. 12 patents in autonomous security systems.
Distributed, redundant, and hardened against the most sophisticated adversaries.
Join 1,500+ enterprises that trust AEGIS for autonomous threat defense.