Prevent data leaks, govern shadow AI, prove compliance, and save 50% on GenAI subscriptions
Customer drives GenAI for personal productivity: 10k prompts inspected monthly, 4k data prevented from leakage, and employees guided 700+ times on safe usage.
By looking at the real usage, data flows and risk exposures
By automatically gating access based on data protection terms and risk profiles
By enforcing policies on data usage and generated content based on job role needs
By adding a safety net that removes accidental data leaks
A city tours and cruise company needed help in getting visibility and protection to unleash business user innovation
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.
