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SecureMCP

Keep AI agents within their permissions.

SecureMCP and SecureADK enforce policy at the Model Context Protocol layer, securing every interaction between AI agents, tools, data sources, and external systems.

How it works

Every Tool Call, Checked and Logged

Every tool call an agent makes passes through SecureMCP before it executes, and is checked, governed, and logged.

SecureMCP · Policy Gate
Agent
PureCipher's AI
Persona Engine
Access
Control
Injection
Scan
Context
Boundary
Tool Executes
Response inspected before it returns
Halted
Agent is denied, nothing executes
Ledger
Every request is recorded, allowed or blocked
SecureMCP checkpoint Allowed Blocked Logged to ledger
Policy Enforcement

What SecureMCP Controls

Six enforcement layers work together to keep every agent, tool call, and data exchange inside policy.

Tool access policy enforcement
Data exfiltration prevention
Prompt injection defense
Agent-to-agent authorized handoffs
Transaction audit log
Authorized context boundary

Tool Access Control

Define which tools each agent is permitted to call, with fine-grained control over parameters, return values, and rate limits. Unauthorized tool invocations are blocked before execution.

Data Exfiltration Prevention

Inspect outbound agent responses for sensitive data patterns. SecureMCP intercepts and blocks any attempt by an agent to exfiltrate classified or sensitive information through tool interactions.

Prompt Injection Defense

Detect and neutralize prompt injection attacks embedded in tool responses, preventing adversarial data sources from hijacking agent behavior or bypassing security controls.

Agent-to-Agent Authorization

Enforce access control for agent-to-agent communication. Each agent interaction requires verified authorization, preventing unauthorized lateral movement through agent networks.

Transaction Auditing

Every MCP transaction, whether a tool call, data access or agent handoff, is logged with full context and cryptographic non-repudiation for post-incident analysis and compliance.

Context Boundary Enforcement

Prevent agents from accessing context outside their authorized scope. SecureMCP enforces context compartmentalization to maintain mission separation and need-to-know controls.

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Secure your MCP layer

Enforce policy at every agent transaction.

Contact our team to schedule a technical briefing or check our developers page to learn how SecureMCP integrates with your AI agent infrastructure.

Request a briefing