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MCP Vulnerabilities & Security — Model Context Protocol

Understand MCP vulnerabilities including tool poisoning and prompt injection via Model Context Protocol. Security controls, permission enforcement, and audit logging for MCP server deployments.

MCP Security — Secure Model Context Protocol Integrations

Security controls, monitoring, and adversarial testing for Model Context Protocol servers — the tool integration layer that gives AI agents access to files, databases, APIs, and external services.

Tool Poisoning: The Invisible Attack

Tool poisoning embeds malicious instructions in MCP server responses — bypassing input validation entirely because the attack path is through tool outputs, not user input.

MCP Adoption Is Outpacing Security

MCP is being adopted rapidly across AI development toolchains without corresponding security practices. Early security controls prevent technical debt that is difficult to remediate after wide deployment.

Audit Trails for AI Compliance

Every MCP tool call is logged with full context — requestor, tool, parameters, response — providing compliance-ready evidence for AI governance frameworks and incident investigations.