SecurityAI Security
AI/LLM Security Guardrails
Secure-by-design review and guardrail program for AI/LLM-integrated services across the platform.
Overview
Established security architecture reviews and guardrails for AI-driven and LLM-integrated systems. Defined secure integration patterns for model access, validated data flows and trust boundaries, and drove remediation of AI-specific risks before features shipped.
Highlights
4 items- Threat-modeled LLM interactions for prompt injection and data leakage
- Defined least-privilege, mediated access patterns for model APIs
- Reviewed data flows and trust boundaries across AI-integrated services
- Partnered with engineering to remediate AI risks pre-deployment
Outcomes
Design-stage
AI risks caught early
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