Prompt Injection via Third-Party MCP Servers
Attackers exploit MCP's trusted tool outputs to inject hidden commands into agent reasoning.
Reuben Weldon
LetterMCP — Page 4
Agent Security
Data Leakage Prevention Policy for AI Agents
Enterprises must govern AI agents before shadow deployments outpace security controls.
Generative AI Risk in Enterprise Environments
Anthropic's integration protocol scales fast, but security wasn't designed in.
Colin Reyes
More From LetterMCP
Agentic AI Adoption for Non-Technical Employees
Agents executing tasks in systems employees don't fully understand create new security risks.
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Scope Creep in Enterprise AI Agent Deployments
AI agents quietly expand their own permissions through incremental steps that each seem reasonable.
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Real-World Agentic AI Use Cases in the Enterprise
JPMorgan and Morgan Stanley show how narrow, specialized agents tackle enterprise work at scale.
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Data Exfiltration Risks from MCP Tool Calls
Tool calls execute with real credentials, creating exfiltration risks keyword filters cannot detect.
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Evaluating Agentic AI Platforms for the Enterprise
Governance gaps in agentic AI deployment create real breach risk before most enterprises are ready.
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MCP Server Ecosystem for Enterprise Teams
Enterprises must vet MCP servers before production use, not after adoption spreads.
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Intent Drift Detection in Long-Running Agents
Agents gradually pursue different goals as memory and context reshape their objectives over time.
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Model Context Protocol Architecture Overview
MCP collapses N×M integration sprawl into a stateful protocol for AI and external systems.
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OWASP Top 10 Vulnerabilities for MCP Agents
A new OWASP framework identifies ten critical security risks specific to AI agent tool protocols.
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