Adversary Emulation

Agentic AI Red Teaming / Autonomous Red Teaming

Agentic AI red teaming applies autonomous AI agents to the red team function, allowing the agent to independently plan reconnaissance, chain together multiple exploitation steps, and adjust its approach as it learns more about a target environment, without a human operator scripting each action in advance. 

Agentic red teaming differs from adversary emulation and breach and attack simulation in that it is not limited to a predefined script or playbook; the agent adapts its plan of attack based on what it actually discovers in the environment, rather than executing a fixed set of test scripts. 

Ridge Security agentic AI red teaming support: It conducts agentic AI-based autonomous red teaming using a pool of specialist agents to test for multi-step attack chains and business-logic risk, all operating within Safe, Supervised, and Authorized-aggressive guardrail zones.