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MSSPs are under pressure to deliver AI relevance as generative AI adoption is accelerating faster than traditional security controls can catch up. Enterprises are embracing tools like ChatGPT, Copilot, and Gemini across departments, often without oversight — creating fresh risks, compliance obligations, and uncertainty. For MSSPs, this represents both a challenge and an opportunity: a chance to provide clarity, guardrails, and governance that make GenAI security a top customer priority.

Shared ChatGPT chats appear now in Google search results.

Your colleagues are using GenAI right now—but probably not in the way your IT team intended. From data leaks to app overload, organizations are learning that enabling GenAI isn’t just about buying a license—it’s about rethinking policy, trust, and productivity. Here’s what we’ve learned.

Before diving into the how of security and governance tooling, you must first understand the what of enforcement. Evaluating tools based solely on their technical features and implementation details won’t deliver meaningful results. Success in GenAI governance starts with clearly defining what needs to be enforced—only then can you determine how to do it effectively.

Best Practices for Securing Public GenAI Apps and LLM Apps in the Enterprise

It is very positive that the big GenAI vendors, like OpenAI, Microsoft and others, have been granting more transparency into how they treat the content they collect from their end users. It’s only reasonable that you know where your prompt may end up. Will it be used to train the model, or will it even show up in an AI generated response to somebody else?

Grok3 by xAI was launched on 17 February 2025 and is now supported by NROC Security

NROC Security announces support DeepSeek AI as the first security vendor for GenAI Apps at work.

NROC Security introduces GenAI SaaS Heatmap for identifying risks of employee usage of GenAI in enterprises.