Visibility

Learn the 8 capabilities every CIO should evaluate to avoid engine overrev in enterprise AI adoption

Although GenAI adoption is growing, productivity impact remains elusive. While 14% of employees use GenAI on a weekly basis, only 0.5% currently demonstrate the skill and frequency of effective use. The data underscores the importance of measuring GenAI usage, skill development, and business outcomes.

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.

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

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

EU AI Act was approved 1st August 2024. It has transition period until August 2027, but for majority of companies, the transition time ends already 2nd August 2026 when most of the controls and tech needs to be applied to organisation.

6 learnings that characterize the more effective AI task forces

Best-practice task force charter that can help newly formed AI task forces to articulate their mission and focus their efforts