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

Hacker News

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.

Visit product View on Hacker NewsMay 29, 2025

Share card

Actual performance

11points

4comments

Made the leaderboard

Launch Intel predictions

Analyze your own launch →

Product HuntOn track for Day 1 leaderboard · Strong signals: agents, agent, model · Missing: mac, macos, cursor

92%92% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

best fitHighest predicted score across all platforms for this description.

Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting

79%79% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

TrustMRRFits verified-revenue profile · Strong signals: apps, way · Missing: mobile apps, ios, personal

63%63% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

Hacker NewsMay not resonate with HN audience · Strong signals: excited, io · Missing: https docs, just released, exist

49%49% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

AppSumoMay struggle as an AppSumo deal · Strong signals: host · Missing: plus, platform, intuitive

29%29% predicted probability of success on AppSumo, based on ML models trained on real launch data.

Acquire.comPre-revenue stage for this audience · Strong signals: active · Missing: arr, mrr, revenue

25%25% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

BetaListMay not resonate with beta-testers · Missing: web3, chat, crypto

3%3% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

Similar products

ZeroTB55%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Supercharge Your Compliance with AI Agents

Product Hunt+10

CogniSim – Interaction utilites for crossplatform LLM agents53%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

CogniSim – Interaction utilites for crossplatform LLM agents

Hacker News4

I made GAI to have LLM agents in Go without heavy frameworks30%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

I made GAI to have LLM agents in Go without heavy frameworks

Hacker News2

Audit your ISP with a speedtest cronjob40%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Audit your ISP with a speedtest cronjob

Hacker News12

AgentContract – ESLint for AI agents - Declare what your AI can||can't!23%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

AgentContract – ESLint for AI agents - Declare what your AI can||can't!

Hacker News1

Shark25%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

AI red teaming assesment for AI agents

Indie Hackerscommitment-full-time

AI Agents Benchmarking and Competition41%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

AI Agents Benchmarking and Competition

Hacker News2

OAuth for AI Agents37%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

OAuth for AI Agents

Hacker News8

47jobs – A Fiverr/Upwork for AI Agents43%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

47jobs – A Fiverr/Upwork for AI Agents

Hacker News20

SAIA – SCUMM for AI Agents25%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

SAIA – SCUMM for AI Agents

Hacker News3

Browse all products Analyze your launch