Continuous Red Teaming in the Age of AI

The Context

The practical limit on turning open code into an attack used to be the cost of careful human investigation. AI is collapsing that cost, for attackers and defenders alike.

At Strike we use the same shift defensively. Agents trace a feature across backend services, clients, integrations and infrastructure-as-code, then test it through distinct attacker lenses: unauthenticated caller, customer, compromised employee, compromised partner. Engineers validate every credible claim and turn confirmed weaknesses into fixes and regression tests.

Why This Matters

A finding has to explain who can trigger it, which boundary fails and what the attacker gains. Otherwise it's a hypothesis.

The agent reasons over the blueprint rather than probing live infrastructure, and the review runs as a continuous loop through the system rather than an annual audit. Static analysis catches known patterns; agentic review asks whether they're actually reachable in the system that runs.