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@open-agent-ai-security

Open Agent and AI Security Community

Building the Open Security Fabric for AI and Agentic Systems

Mission

To build an open, collaborative community dedicated to securing agentic enterprise applications and accelerating the responsible use of AI in security operations.

The community brings together security practitioners, AI builders, researchers, engineers, and defenders to create shared tools, patterns, integrations, and guidance that help organizations safely develop, deploy, monitor, and govern AI agents and extensions in real-world enterprise environments.

Our goal is to make it easier for security and SOC teams to adopt agentic technologies with confidence by advancing practical, open, interoperable, and community-driven approaches to AI security.

Vision

We envision a future where agentic AI systems are secure by design, transparent in operation, and trusted by the people and organizations that depend on them.

As enterprises increasingly adopt AI agents to automate workflows, augment analysts, and extend security platforms, the community will serve as a neutral place to define best practices, share reusable components, identify emerging risks, and build technologies that help defenders move faster without compromising safety, control, or accountability.

Purpose

This community exists to:

  • Help organizations securely build and operate AI agents and enterprise AI extensions.
  • Provide open source tools, reference implementations, and reusable components for security and SOC use cases.
  • Create practical guidance for agent security, governance, permissions, identity, observability, testing, and incident response.
  • Encourage collaboration between security practitioners, developers, researchers, and enterprise teams.
  • Promote interoperability across security tools, AI platforms, models, data sources, and automation frameworks.
  • Reduce duplication of effort by enabling the community to share patterns, connectors, evaluation methods, and lessons learned.

Projects

Praxen Observra
Praxen — agent behavior verifier. Compares an AI agent's declared policy against the available evidence; reports where observed behavior diverges from declared intent. Observra is an open-source observability and telemetry framework designed for AI and agentic systems, providing deep visibility into agent behavior, execution flows, runtime events, and inter-agent communication.
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  1. praxen praxen Public

    Praxen — agent behavior verifier. Compares an AI agent's declared policy against the available evidence; reports where observed behavior diverges from declared intent.

    HTML 61 8

  2. observra observra Public

    Observra is an open-source observability and telemetry framework designed for AI and agentic systems, providing deep visibility into agent behavior, execution flows, runtime events, and inter-agent…

    HTML 23 5

  3. promptfall promptfall Public

    A modern browser platformer for learning the OWASP Top 10 for LLM Applications.

    TypeScript 7

  4. raffkin raffkin Public

    Raffkin — an agentic SOC plug-in for Exabeam New-Scale: investigates alerts, triages the case queue and finds noisy detection rules in Claude Code or OpenAI Codex, with deterministic guardrails and…

    HTML 6 1

  5. .github .github Public

  6. open-agent-ai-security.github.io open-agent-ai-security.github.io Public

    Landing site for the Open Agent and AI Security Community — https://open-agent-ai-security.github.io/

    HTML

Repositories

Showing 7 of 7 repositories
  • open-agent-ai-security.github.io Public

    Landing site for the Open Agent and AI Security Community — https://open-agent-ai-security.github.io/

    open-agent-ai-security/open-agent-ai-security.github.io's past year of commit activity
    HTML 0 0 2 1 Updated Oct 1, 2026
  • raffkin Public

    Raffkin — an agentic SOC plug-in for Exabeam New-Scale: investigates alerts, triages the case queue and finds noisy detection rules in Claude Code or OpenAI Codex, with deterministic guardrails and a human approving every consequential action.

    open-agent-ai-security/raffkin's past year of commit activity
    HTML 6 Apache-2.0 1 14 2 Updated Oct 1, 2026
  • praxen Public

    Praxen — agent behavior verifier. Compares an AI agent's declared policy against the available evidence; reports where observed behavior diverges from declared intent.

    open-agent-ai-security/praxen's past year of commit activity
    HTML 61 Apache-2.0 8 39 0 Updated Oct 1, 2026
  • plugins Public

    Claude Code plugin marketplace for the Open Agent AI Security community — add once, install praxen, socxen, and future plugins.

    open-agent-ai-security/plugins's past year of commit activity
    Python 0 Apache-2.0 0 1 0 Updated Sep 29, 2026
  • promptfall Public

    A modern browser platformer for learning the OWASP Top 10 for LLM Applications.

    open-agent-ai-security/promptfall's past year of commit activity
    TypeScript 7 Apache-2.0 0 0 8 Updated Sep 28, 2026
  • observra Public

    Observra is an open-source observability and telemetry framework designed for AI and agentic systems, providing deep visibility into agent behavior, execution flows, runtime events, and inter-agent communication.

    open-agent-ai-security/observra's past year of commit activity
    HTML 23 Apache-2.0 5 5 4 Updated Sep 11, 2026
  • .github Public
    open-agent-ai-security/.github's past year of commit activity
    0 0 0 0 Updated Jun 25, 2026

People

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