LLM Safeguarding: Assessment & Remediation

An adversarial evaluation of a chatbot, RAG, or agentic system, followed by design and implementation of the necessary safeguards. The engagement covers risk analysis aligned with established frameworks (NIST AI RMF, ISO/IEC 42001, OWASP Top 10 for LLM Applications and for Agentic Systems), including data leakage analysis, prompt injection testing, and accuracy benchmarking. Remediation of prioritized issues is implemented as part of the same engagement.

Deliverables:

• Risk analysis mapped against standard AI risk management frameworks

• Adversarial test results covering prompt injection, context leakage, and PII extraction

• Implemented safeguards addressing identified vulnerabilities

• Accuracy benchmark under the applied mitigations