Autonomous Alert Investigation
Multi-agent consensus models ingest tens of thousands of SIEM/EDR alarms per second, correlating disparate signals, querying identity graphs, and dismissing 99.2% of benign false alarms without analyst involvement.
[ AGENTIC CYBER ]
Co-Founder & Director • firstsecure.ai
Neutralizing cyber adversary velocity by replacing overwhelmed human security operation centers with autonomous, cooperating AI agents that triage, investigate, and isolate threats in milliseconds.
Modern enterprise cyber warfare is fought at machine speed: automated malware and state-sponsored intrusion vectors execute lateral movement across corporate networks in seconds. Conversely, traditional human-staffed Security Operations Centers (SOCs) suffer from debilitating alert fatigue, averaging 45 minutes to triage an alert and up to 21 days to contain a breach. FirstSecure.ai eliminates this asymmetric vulnerability through agentic artificial intelligence.
[ CAPABILITIES ]
Multi-agent consensus models ingest tens of thousands of SIEM/EDR alarms per second, correlating disparate signals, querying identity graphs, and dismissing 99.2% of benign false alarms without analyst involvement.
Upon verifying malicious execution, FirstSecure dispatches automated API commands to quarantine endpoints, sever compromised session tokens, and deploy surgical eBPF packet-drops to prevent lateral spread.
Reconstructs attacker ingress, privilege escalation pathways, and data staging actions in real-time, mapping every step directly against the MITRE ATT&CK enterprise matrix with forensic certainty.
Dynamically spawns lightweight, hyper-realistic synthetic decoys and honeytokens across cloud infrastructure to trap zero-day exploit campaigns and harvest attacker telemetry.
[ SPECIFICATIONS ]
[ RELATED ]
Full detail appears in the executive dossier.