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AI

Your AI writes code. We make sure it’s safe.

Security for the AI era: AI model protection, Model Context Protocol (MCP) server security, AI-generated code review and an inventory of the AI tools your teams actually use.

LLMMCP servertoolspromptsdataprompt injection path ⚠
Prompt injection, Adversarial examples, Model inversion, Data poisoning, Model extraction, Over-permissive MCP tools, Insecure AI-generated code, Shadow AI tools

The old way

Copilot ships a vulnerable snippet, an MCP server gets broad repo access, and nobody notices.

The Enforster way

EnforsterreviewsAI-writtencode,auditsMCPtoolsandpermissions,andprotectsthemodelsyoudeploy.

What you get.

AI-native

security for models, agents and the code they write

Three steps. That’s it.

01

Connect repos and AI endpoints

02

Assess models, prompts and MCP tools

03

Monitor continuously

Catches things like

  • Prompt injection
  • Adversarial examples
  • Model inversion
  • Data poisoning
  • Model extraction
  • Over-permissive MCP tools
  • Insecure AI-generated code
  • Shadow AI tools

  • LLMs such as GPT-4, Claude and LLaMA, code models, vision models and recommendation systems.

Next productDark Web Monitoring

A 30-minute demo with zero slides. Bring a repo, a domain or a cloud account and we’ll show you what’s actually exploitable, live.

Book a demo