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AI Security & Guardrails

Red-team your AI before someone else does — injection defense, guardrails and audit trails.

How it's built

(1) Threat model — attack surface mapped to OWASP LLM Top 10. (2) Red-team — injection and jailbreak battery, data-exfiltration probes. (3) Guardrails — input/output filters, permission boundaries. (4) Harden — fixes with regression evals, audit logging. (5) Report — findings + fixes doc, retest, sign-off.

Core fundamentals

  • attack like a real adversary, not a checklist
  • every fix regression-tested
  • guardrails that don't lobotomize the product
  • evidence-grade reporting

Build blueprint

Deliverables

  • red-team report
  • guardrail implementation
  • regression suite
  • sign-off doc

Stack

OWASP LLMEvalsAuthLogging

Tags

AI SecurityRed TeamingLLM GuardrailsOWASP