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ARGUS: Open-Source AI Agent Platform for Autonomous Cybersecurity and AI Security

·2026.10.25 16:07

Key point

The MIT-licensed platform integrates seven AI agents for threat detection, 27 automated security actions, and continuous penetration testing across major cloud and security providers.

Details

  • ARGUS is a new open-source cybersecurity platform released on GitHub under the MIT License, consolidating AI-powered threat detection, autonomous response, and penetration testing into a single system.
  • The platform utilizes seven specialized AI agents to investigate threats across AWS, Azure, Google Cloud, Kubernetes, GitHub, Okta, and Microsoft Entra, supported by 27 security actions for containment via Cloudflare, CrowdStrike, and SentinelOne.
  • It features an autonomous penetration-testing system using an AI red-team agent to continuously evaluate infrastructure with tools like Nuclei, OWASP ZAP, Trivy, Prowler, Semgrep, and MITRE CALDERA.
  • A dedicated module secures AI services by monitoring OpenAI and Anthropic API traffic, enforcing policies, and deploying traps such as fake MCP servers and prompt injections to detect misbehaving agents.
  • Built with Python, FastAPI, PostgreSQL, and Redis, the project supports Docker and Kubernetes deployments and includes enterprise features like role-based access control and multi-tenant support.
  • The repository contains over 460 automated tests, and autonomous response is disabled by default to require administrator approval and policy compliance.
open-sourcecybersecurityai-agentsthreat-detectioninfrastructure-securitypenetration-testing
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