Governance

Our updated CISO guide explains how traditional security architectures are challenged by this new breed of business software and the best practices CISOs can implement. This guide enables CISOs to mitigate the risk of data leaks, prevent compliance violations, provide a great end user experience, and contribute to the overall business goal of driving personal productivity using GenAI.

Practical ways to build end user confidence, skills, security, and governance so employees can realize productivity gains from GenAI tools like ChatGPT.

Employee productivity is entering a new phase as GenAI tools move from experimentation to everyday work. We founded NROC Security on the belief that enterprise employees want to use tools like ChatGPT, to get more done, while organizations remain rightly concerned about security and data exposure. By the end of 2025, most organizations had stopped saying “no” to GenAI, and instead started introducing policies and staff guidance for acceptable use, even as the technical enforcement lagged behind.

AI initiatives are quite often governed company-wide, but identifying different characteristics in the initiative is essential to ensure focus to right execution and get improved results.

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.

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