nowfound

AI · May 29, 2025

CL

Compliant-LLM: Audit AI Agents for Compliance with NIST AI RMF

We're excited to launch compliant-llm: an open-source toolkit that helps infosec and compliance teams audit AI agents against regulatory frameworks like NIST AI RMF, ISO 42001, and OWASP Top 10. Infosec and compliance teams are now responsible for tracking security and compliance risks of a growing number of AI agents across external and internal apps and third-party vendors. compliant-llm gives you a way to: - Define and run comprehensive red-teaming tests for AI agents - Maps test outcomes to compliance frameworks like NIST AI RMF - Generate detailed audit logs and documentation -…

In plain words

Compliant-LLM is an open-source toolkit that helps infosec and compliance teams audit AI agents against regulatory frameworks including NIST AI RMF, ISO 42001, and OWASP Top 10. It enables users to define and run red-teaming tests, map results to compliance standards, generate audit logs, and integrate with major AI platforms like Azure, OpenAI, and Anthropic. The toolkit can be self-hosted and includes an interactive dashboard for running compliance checks and analyzing results.

written from the facts on this page · September 2026

From the sources

In the maker’s words, at launch

We're excited to launch compliant-llm: an open-source toolkit that helps infosec and compliance teams audit AI agents against regulatory frameworks like NIST AI RMF, ISO 42001, and OWASP Top 10. Infosec and compliance teams are now responsible for tracking security and compliance risks of a growing number of AI agents across external and internal apps and third-party vendors. compliant-llm gives you a way to: - Define and run comprehensive red-teaming tests for AI agents - Maps test outcomes to compliance frameworks like NIST AI RMF - Generate detailed audit logs and documentation - Integrate with Azure, OpenAI, Anthropic, or wherever you host your models - With an open-source, self-hosted solution Install and launch the red-teaming dashboard locally: pip install compliant-llm compliant-llm dashboard This opens an interactive UI for running AI compliance checks and analyzing results. We’re at v0.1, and would love your feedback. Tell us about the compliance or AI risk issues you’re facing, and we’ll prioritize what matters most.

Does the same job

all alternatives →
  • AskCodiNov 2025 · ▲230

    Custom LLMs, without training. Use via openai compatible api

  • CL
    Compliant LLM toolkit for ensuring compliance & security of AI systems2025 · github.com · ▲7

    With the right technique, I was able to break the so-called secure models like Claude and OpenAI. So, I built an open-source tool to automate this and find security holes in any hosted model. I got claude-sonnet-4 to demonstrate the following harmful behavior: - steal data from downstream tool calls using sql injection, code injection and template injection attacks - install spyware or malware using prompt obfuscation to send data to a third-party server Try it yourself with this simple command: pip install compliant-llm && compliant-llm dashboard

  • Flagright AI Forensics2023 · ▲108

    The modern standard in AML compliance through AI agents

  • AF
    A free AI risk assessment tool for LLM applications2025 · gettavo.com · ▲37

    We’ve built an AI risk assessment tool designed specifically for GenAI/LLM applications. It's still early, but we’d love your feedback. Here’s what it does: 1. it performs comprehensive AI risk assessments by analyzing your codebase against different AI regulation/framework or even internal policies. It identifies potential issues and suggests fixes directly through one click PRs. 2. the first framework the platform supports is OWASP Top 10 for LLM Applications 2025, upcoming framework will be ISO 42001 as well as custom policy documents. 3. we're a small, early stage team, so the…

  • ComplyAgentJun 2026 · complyagent.eu · ▲4

    EU AI Act compliance for SMBs, without a consultant

  • ED

More ai this month

the category →
  • I trained a 125M-parameter transformer to autocomplete piano performances in real time (~108 notes/sec on an iPhone 15). The idea is basically GitHub Copilot or Tabnine, except instead of prompting it with code, you prompt it by playing a few notes on a MIDI piano. The model then continues what you played, entirely on-device. The app is free if anyone wants to try it. Happy to answer questions about the model, training, Core ML, or the many things that didn't work.

    AI · 17d ago · simedw.com

  • Astute585

    Automate your B2B brand going viral, with new media creators

    AI · 18d ago · company-app.joinastute.com

  • Grok Bot547

    AI teammates that you can give real work to

    AI · 25d ago · x.ai

  • Hey HN, Henry from Cactus here! We previously released Cactus Needle, a 14MB agentic LLM for tool call, device use, and structured extraction for phones, wearables, smart homes, small robots and microcontrollers. We got really great feedback here, and have now incorporated the suggestions to release Needle 2. The whole model is a single 14MB binary that runs a full session in 28MB of RAM; 45m parameters at 2bit compression. Needle hits 500 tokens/sec decode speed on a Raspberry Pi 5, sits between 400-1,500 tokens/sec on VR devices like Meta Quest 3S and Apple Vision Pro, and ranges…

    AI · 27d ago · cactuscompute.com

  • Turn website visitors into qualified pipeline

    AI · 19d ago · clarasdr.ai

  • Kane CLI446

    Natural language browser & mobile app tests from terminal

    AI · 24d ago · testmuai.com

Launched alongside, May 2025

the whole month →