The MCP threat landscape,
documented.
In-depth analysis of MCP attack vectors, vulnerability patterns, and defensive strategies. Updated continuously as the agent ecosystem evolves.
MCP Endpoint & Inventory Sprawl
How unchecked growth of MCP servers creates hidden attack surfaces and operational blind spots across your AI infrastructure.
Command Injection in MCP Tools
Exploiting unsanitized inputs in MCP tool calls to execute arbitrary commands on connected systems.
Tool Poisoning Attacks
Malicious MCP servers that masquerade as legitimate tools to intercept sensitive data and corrupt agent behavior.
MCP Security Guardrails
Designing and deploying policy-driven constraints that keep AI agents operating within safe boundaries.
Shadow AI
Unauthorized AI agents and MCP connections that operate outside IT visibility, bypassing security controls.
Jailbroken AI
Techniques that bypass model safety layers through crafted MCP contexts, enabling restricted actions.
Rug Pull Attacks in MCP
Trusted MCP servers that change behavior post-deployment to exfiltrate data or manipulate agent actions.
MCP Observability & Audit Logging
Building comprehensive audit trails and real-time monitoring for all agent-to-tool interactions.
MCP Credential & Secrets Exposure
How plaintext credentials in MCP config files, environment variables, and error messages create a massive, largely unmonitored attack surface.
Cross-Session Context Leakage
Sensitive data leaking between sessions, agents, and users through accumulated context windows, persistent memory, and shared server state.