Enterprise vs Open source editions: Security

[etaio94]

Hi
I read on the website that the enterprise edition of CrewAI comply with SOC 2 and HIPAA. and also "Built with robust security protocols to keep your data safe.".
I was wondering if some one has any information or reading materials about that - im trying to understand CrewAI'a enterprise approach and implementation of security - in terms of data security , communications security and etc. Will be great to see that they has such a thing but i just can't see that we are there yet(knowing only the open source crewAI)

[darfaz]

This is a really important topic. The security gap between enterprise and open-source AI agent frameworks is something the community needs to address.

For teams running open-source CrewAI in production, there are a few practical things you can layer on:

1. Input/output validation — scan all agent communications for prompt injection patterns
2. Tool call policies — define which tools each agent can access and under what conditions
3. Data exfiltration monitoring — detect when agents try to leak sensitive data through tool calls or outputs

One open-source project worth checking out is ClawMoat — it's specifically designed as a runtime security layer for AI agents. It can intercept agent actions and validate them against configurable security policies. Think of it as a WAF but for AI agents.

The OWASP Top 10 for LLM Applications is also a great framework for thinking about what security controls you need: https://owasp.org/www-project-top-10-for-large-language-model-applications/

Would love to see CrewAI adopt a middleware/plugin architecture for security so the community can build these protections as extensions.

[darfaz]

Quick update: ClawMoat is now on npm — npm install -g clawmoat. You can try clawmoat scan 'your text' to test prompt injection detection, PII scanning, and more right from the terminal. Makes it much easier to integrate into CI/CD or test against your own agent outputs.