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APEX Interlock: Enterprise-Grade MCP Security and AI Governance

Interlock adds an MCP GRC (Governance, Risk, Compliance) layer between your AI Agents and business systems. It checks requests, blocks risky actions, and keeps a record for audits.

  • Governance: Set clear rules for agents.
  • Risk:Block unsafe agent actions.
  • Compliance: Keep audit records ready.

Get your free MCP risk check

Your details are used only to prepare your check.

One Control Layer Across Your APIs and MCP Servers.

Interlock connects to the cloud platforms you already run, finds every API, MCP server and agent, scores the risk, and shows you what to fix and how it maps to your compliance frameworks.

Your platforms

Existing APIs and MCP servers

AWS

API Gateway, AgentCore

Google Cloud

Apigee, API Hub

Azure

API Management

MCP servers

Self-hosted or SaaS

Connected read-only

APEX Interlock

Governance, risk and compliance for your APIs and MCP servers

Unified inventory

Every API, MCP server, tool and agent, and what each one can reach.

Risk engine

Checks for open or unauthenticated access, excess permissions, sensitive data exposure and hidden (shadow) agents. Gives each a risk score from 0 to 100.

Governance

  • Security
  • Auditing
  • Rate limits
  • Performance measurement
  • Token cost control

Compliance

  • ISO 42001
  • EU AI Act
  • AIUC-1
  • MITRE ATLAS

What your team gets

Visibility, control and audit readiness

Dashboard

62/100
ISO 4200158%
EU AI Act47%
Critical risk alerts

Alerts

New risks sent to Slack, Teams or Jira.

Audit evidence

Reports per framework, ready for auditors.

The Risks of Uncontrolled AI Agents

Teams connect AI agents to business systems quickly, but often lack clear rules to control access and track actions.

Open access

Some MCP servers lack proper checks, allowing unauthorised access to business systems.

Anyone
ID?
MCP server
Request accepted. Nobody asked who it was.

Too much access

AI agents may get more access than needed, increasing MCP security risks.

The job: read a customer record
ReadDeletePay out
1 key was needed. It got 3.

No clear records

Without MCP audit records, teams cannot easily track agent actions or support audits.

Auditor: What did this agent do on Tuesday?
No record found

How APEX Interlock Keeps AI Agents Safe

See how APEX Interlock improves MCP security by checking agent access, blocking unauthorised actions, enforcing rules, and keeping a record of every action.

Today

4 risks found
  • ✕Unapproved agent
  • ✕No authentication
  • ✕Billing writes allowed
  • ✕Nothing logged

With APEX Interlock

Controls in place
With APEX Interlock: every agent call is checked and logged
  • ✓Unknown agents flagged
  • ✓Authentication enforced
  • ✓Billing is human only
  • ✓Every action logged

Find and Fix MCP Security Gaps

Interlock checks your MCP setup in three steps, finds security gaps, and helps you fix them.

Interlock scan ScanningCheckingReport ready
  • payments-mcpRegistered
  • crm-mcpRegistered
  • sales-agentRegistered
  • test-serverNot registered
Checking test-server. Biggest risks first.
Authentication
High
Tool permissions
High
Audit trail
Medium
Token spend
Low
FindingNo login on test-server
Control it affectsAccess control
FixTurn on authentication
Evidence✓ Attached for your auditors

Why Interlock

Built for teams that need answers, not another platform rollout.

  • ISO 42001
  • EU AI Act
  • MITRE ATLAS
  • AIUC-1

Works across platforms

AWS, Microsoft, Zoho, Salesforce or custom agents, in one view.

AWSMicrosoftZohoSalesforceCustom
One view

Fast to start

No agents to install, no traffic to reroute, no production access.

0agents to install
0traffic to reroute
0production access

Security and compliance together

Technical findings tied directly to the controls auditors ask about.

Engineers included

Azilen engineers walk you through findings and help you fix them.

Az
Here is the fix for test-server. Let us apply it together.
✓ Fix applied

Same AI agent. Two very different endings.

Two real cases where an AI agent went beyond its limits. Switch between the two views to see how each one goes, without Interlock and with it.

1

PocketOS AI coding agent working on a test environment

The agent found a key it should never have used

  1. 1
    Assigned taskFix a small issue in the test environment
  2. 2
    Agent exploresAgent asks for accessFinds a powerful key with very broad accessTries to use that key to reach the live system
  3. 3
    Uses the keyInterlock steps inReaches the live production systemSees the agent leaving its test area, blocks the delete, and asks a person
  4. !✓
    Deletes dataAction blockedThe production database and its backups are goneThe agent is told no, and pointed to what it may use
ResultProduction database and backups deleted.ResultProduction stays safe. Nothing lost, and it is logged for review.
2

Replit AI coding agent building an app

The agent did not follow a clear instruction

  1. 1
    Human instruction“Code freeze: no changes to production”
  2. 2
    Agent carries onAgent tries to actKeeps working on the database anywayTries to change the database
  3. 3
    Runs the changesInterlock steps inDeletes the production databaseSees the freeze rule, blocks the request, and alerts a person
  4. !✓
    Business impactAction blockedAbout 1,200 executive records are lostNo changes reach production, and a person is told
ResultCritical business data lost.ResultNo changes made. The data stays safe, and the problem is caught as it happens.