Skill UI

Guides securing LangChain deployments with secrets management, prompt injection mitigation, safe tool execution, output validation, and audit logging for production readiness.

Meta’s Prompt Guard is an 86M-parameter classifier that spots prompt injections and jailbreak attempts before they reach LLMs, filtering user input, third-party data, or RAG documents with multilingual support and sub-2ms latency for fast deployments.

Skill Security Auditor scans AI agent skills before installation, flagging command injections, prompt tampering, dependency risks, and filesystem abuses while providing verdicts and remediation guidance for CLIP plugins or Codex skills.

Combines regex signatures, heuristic scoring, and a DeBERTa classifier to detect prompt injection attempts against LLM-based applications, flagging or blocking malicious inputs before they reach the model and fitting into validation layers, audits, or incident response workflows.

Builds NeMo Guardrails-based input/output validation pipelines to block prompt injection, redact PII, enforce content policies, and verify structured outputs so LLM-powered services stay safe before downstream use.

Assesses AI/ML systems for prompt injection, jailbreak, model inversion, data poisoning, and agent tool abuse using MITRE ATLAS mapping, signature detection, and scoring metrics before deployment.

Conducts comprehensive AI prompt safety reviews that analyze bias, misinformation, injection, and privacy risks while delivering effectiveness evaluations, security guidance, and best-practice recommendations for prompt engineers.