Enterprise AI Security
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.
The Anonymize-Query-Deanonymize Pipeline
Presidio detects sensitive entities (e.g. SSN -> `<SSN_1>`), the LLM processes the masked text, and the backend maps `<SSN_1>` back to original values only for authorized internal users.
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.
OWASP Top 10 for LLMs: Comprehensive Defense Strategies for 2026
A deep dive into OWASP LLM vulnerabilities: Insecure Output Handling, Excessive Agency, Model Denial of Service, and Supply Chain Risks.