mastyf-ai/mastyf.ai

Overview

Open-source AI security platform providing perimeter defense for LLMs and AI agents. It uses swarm analysis, policy enforcement, adversarial testing, and real-time threat detection to secure AI systems. Written in TypeScript.

Best for

Best for
Developers building AI applications needing perimeter security for LLMs and agents

Use cases

• Securing LLM APIs against adversarial attacks
• Enforcing access policies on AI agents
• Conducting real-time threat detection during inference

How to use

Tested with

Claude Desktop, Cline

Notes

Open-source AI security platform providing perimeter defense for LLMs and AI agents. It uses swarm analysis, policy enforcement, adversarial testing, and real-time threat detection to secure AI systems. Written in TypeScript.

18 stars on GitHub. Last updated 2026-08-29. Licensed AGPL-3.0.

Use cases

• Securing LLM APIs against adversarial attacks
• Enforcing access policies on AI agents
• Conducting real-time threat detection during inference

Pros

• Open-source and transparent
• Written in TypeScript for type safety
• Covers multiple security dimensions including swarm analysis and adversarial testing

Cons

• Limited community adoption (18 stars)
• Potentially early-stage with fewer battle-tested deployments
• May require custom integration for specific AI stacks

Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.