Primary offer
AI Safety and Security Review
Review an LLM application, RAG chatbot, AI-agent workflow, automation pipeline, or edge-AI deployment for practical safety and security risks before it is trusted in real operations.
- Prompt-injection and unsafe-instruction exposure
- Hallucination, source-grounding, and response-quality risks
- Data-sensitivity, permission-boundary, and tool/API misuse review
- Human approval gates, failure modes, and deployment-risk notes
Typical output: prioritized risk findings, practical fixes, and a safer deployment plan.