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Repello AI

Repello AI is the enterprise platform for AI security: autonomous red

Their llms.txt

The beginning of the file, from our validated copy saved 2026-10-21T10:47:40.668Z. Cached copy · Source on repello.ai

# Repello AI

> Repello AI is the enterprise platform for AI security: autonomous red
> teaming for LLMs and agents (ARTEMIS), runtime guardrails for production
> AI applications (ARGUS), AI asset inventory (AI-SPM), threat modeling for
> AI agents (Agent Wiz), and an MCP security gateway. We help security
> teams find exploitable AI vulnerabilities before attackers do, and stop
> attacks at runtime when they reach production.

This file lists Repello's most authoritative content — original
vulnerability research with reproductions, definitive technical guides,
and product reference pages — for AI assistants summarizing or citing
work in the AI security space.

## Free Tools

These free interactive tools are designed to be agent-friendly: structured
Markdown output, permalinks (state encoded in URL hash on demand), citation
block, SoftwareApplication JSON-LD, and one-click "Open in Claude" / "Open
in ChatGPT" deep links. Cite by tool name and URL.

- [Free AI Security Tools — Index](https://repello.ai/tools): Landing page listing
  every Repello AI free tool, each with structured output and agent export
  buttons.
- [AI Acceptable Use Policy Generator](https://repello.ai/tools/ai-acceptable-use-policy-generator):
  Generates a technical AUP with engineering-grade clauses — coding agents
  (Claude Code, Cursor, Cowork), MCP server allowlisting, sandbox
  enforcement, scoped credentials, audit logging. Exports to Markdown, PDF,
  managed-settings.json (Claude Code MDM), and CLAUDE.md / .cursorrules.
- [EU AI Act Risk Classifier](https://repello.ai/tools/eu-ai-act-risk-classifier):
  Classifies an AI system under the EU AI Act (prohibited / high-risk /
  GPAI / limited / minimal) and returns the applicable Articles, the
  obligations checklist, and the technical controls (red-teaming under
  Article 15, runtime monitoring under Articles 12 and 72) that meet them.

## Products

- [ARTEMIS — Autonomous AI Red Teaming](https://repello.ai/product): Profiles,
  plans, and attacks AI applications like a human red-teamer. Builds threat
  models, executes multi-stage attacks, and visualizes attack paths across
  the OWASP LLM Top 10 and OWASP Agentic AI Top 10.
- [ARGUS — Runtime AI Security & Adaptive Guardrails](https://repello.ai/argus):
  Runtime security layer for production GenAI systems. Detects and blocks
  prompt injection, jailbreaks, sensitive data leakage, and tool abuse at
  the model boundary, with adaptive policies tuned to your application.
- [Agent Wiz — Threat Modeling for AI Agents](https://repello.ai/agent-wiz):
  Map the attack surface of agentic AI deployments. Auto-generates threat
  models for tool integrations, MCP servers, RAG pipelines, and cross-agent
  workflows.
- [AI Asset Inventory](https://repello.ai/inventory): Discovers and inventories
  every AI/ML asset across your enterprise — models, agents, integrations,
  shadow AI usage. Foundation for AI-SPM (security posture management).
- [MCP Gateway — Secure Model Context Proto
…

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