The threats are already inside. We find them.
LLM injection, cloud drift, supply-chain AI exposure — live attack patterns in customer environments today. Not next year's threat report.
Three vectors we see in production
LLM Prompt Injection
Adversarial inputs that hijack model behavior inside your own infrastructure — bypassing guardrails your vendor said were solid.
Cloud Configuration Drift
Permissions and policies that widen silently between deployment cycles. Our tooling surfaces each delta before it becomes exposure.
Supply-Chain AI Exposure
Third-party AI components pulling from poisoned training sets or leaking context windows — risk you inherit, not risk you built.
Continuous detection, not quarterly cycles
Our AI risk engine monitors your attack surface around the clock — flagging configuration changes, model behavior anomalies, and dependency mutations as they happen.
Assessment maps to your actual business logic: which AI components touch production data, which cloud roles exceed their mandate, which vendors introduced new model versions last night.