Results for “sealed-classes”

Detect poisoned training data and backdoored models across the ML pipeline using statistical analysis, activation clustering, and spectral signatures.

Routes security requests to specialist skills and performs STRIDE/DREAD threat modeling with a quick secret scan.

Deploy Llama Guard, NeMo Guardrails, and LLM Guard as runtime input/output scanners to block jailbreaks, prompt injection, and toxic content in production LLM applications.

Implements container security with image scanning, runtime protection, image signing, and security policies using tools like Falco, Trivy, and Notary.