Enterprise AI Security
LLM Red-Teaming: Automated Vulnerability Probing with PyRIT and Garak
Simulate adversary attacks against your AI systems using Microsoft PyRIT and Garak to find jailbreak paths before attackers do.
Automated Adversarial Probing
PyRIT orchestrates multi-turn attack strategies to test if an agent will divulge system prompts, execute unauthorized database dumps, or violate safety guidelines.
Related Technical Guides
Deepen your understanding with these closely related production architectures and tutorials:
Defending Against Prompt Injection & Jailbreaks: Indirect Attacks & Guardrails
Protect your enterprise AI agents from direct and indirect prompt injections, adversarial suffixes, and untrusted user input.
NVIDIA NeMo Guardrails: Programmable Dialog Rails, Safety Policies & Colang
Enforce safety boundaries on LLM outputs using NVIDIA NeMo Guardrails: input rails, dialog flow constraints, and output validation.
PII Masking & Privacy-Compliant AI: Microsoft Presidio & Real-Time Redaction
Anonymize credit cards, government IDs, and health data before sending prompts to external LLMs using Microsoft Presidio and reversible tokenization.