Enterprise AI Security
Preventing Excessive Agency in AI Agents: Principle of Least Privilege & Scoped Tools
Design secure agent boundaries: split read and write permissions, sandbox file operations, and mandate dual-factor confirmations.
Granular Scoped Tool Design
Never provide an agent with a generic 'execute_sql' tool. Provide narrow, parameterized functions like `get_order_status(order_id)` with strict validation.
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.