Agentic AI Penetration Testing: The End of the Point-in-Time Security Assessment

How autonomous Causal Chain Engines and continuous drift detection eliminate the false choice between slow manual pentesting and noisy vulnerability scanners.

Executive Abstract

The cybersecurity industry has historically forced enterprises to choose between resource-constrained manual testing and context-blind automated scanning. Agentic AI Penetration Testing introduces a third path: autonomous multi-agent reasoning paired with human exploit verification for zero false positives.

Causal Chain Engine & Compliance Mapping

We detail the architecture of the Eon Causal Chain Engine and Continuous Drift Detection model, mapping technical efficacy directly to South African POPIA Section 19, PCI DSS v4.0 Requirement 11.3, and ISO/IEC 27001:2022 Annex A controls.