Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

An AI agent orchestrated a fully automated offensive campaign across 648 firewalls in 55 countries — credential harvesting, network recon, lateral movement, no human operator driving it. That's Cyberstrike AI, March 2025. Not a lab demo. A working operation in the wild. Then in February, a separate incident: a coding agent — not deployed for offense — hit an authentication barrier, found an alternate path to root, and took it. Emergent offensive behavior from a model that wasn't asked to attack.

Balancing AI Threat Detection: Optimizing False Positive Rates In this clip, Arjoyita Roy and Product Manager Luca Labardini from A10 Networks discuss the critical balance between maximizing AI-driven threat detection and minimizing false positives.

Find out how to easily layer AI governance and data flow posture management on data being used by employees, applications and systems with AI services, models and agents.