6 AI Security Cheatsheets for Enterprise Teams
A practical 2026 reference collection for enterprise security teams, covering:
AI Agent Guardrails - How to enforce hard controls across agent inputs, processing, and outputs to stop prompt injection, credential leakage, and data exfiltration
Shadow AI - How to discover and govern unsanctioned AI tools, coding assistants, and agents before they become a compliance or security incident
MCP Security - How to defend MCP servers against tool poisoning, prompt injection, rug pulls, and credential leaks across the full execution layer
AI Security Posture Management (AI-SPM) - How to discover, assess, and remediate security risks across AI models, pipelines, agents, and supporting infrastructure
AI Agent Red Teaming - How to simulate real-world attacks against agentic systems, map the attack surface, and build defense-in-depth across workflows
AI Agent Identity - How to govern agent identities, scope permissions, enforce access boundaries, and prevent privilege escalation across multi-agent environments