Core Capabilities
AI threat modeling for LLM and ML pipelines; Secure prompt and RAG architecture patterns; Output filtering and guardrail engineering; Model and data supply-chain verification; Red-team testing gates in the release pipeline; AI incident response procedures; Alignment with OWASP LLM Top 10 and NIST AI RMF.
Tech Foundation
Reference architectures for RAG and agent systems, guardrail libraries, evaluation harnesses, and policy templates, implemented with your existing MLOps stack.
Deployment
Assessment of current AI footprint, framework adoption roadmap, guardrail implementation sprints, and team enablement workshops over 6-10 weeks.
Value
Prevents costly AI security incidents, accelerates safe AI adoption across the business, and builds customer trust with demonstrable AI governance.
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