01 / Cybersecurity & Cryptography
AEGIS
Agentic Evidence-Grounded Cyber Testing
Security testing produces conclusions faster than it produces evidence.
The interesting question in autonomous security testing is not whether AI agents can probe systems. It is whether their findings can be trusted, reproduced, and acted on.
AEGIS explores coordinated AI agents for cyber inspection, defensive validation, and penetration testing. Agents gather evidence, inspect systems, test hypotheses, and validate controls. Every conclusion an agent reaches is bound to an evidence chain a human can audit.
The intended result is security testing that behaves like disciplined engineering: hypotheses, observations, reproducible findings, and human supervision over operations.
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