buzzword is Generative AI, we use it at work and in real life. be it tools such as ChatGPT, Claude, DeepSeek, and Gemini, these LLMs are being actively used in your office. A recent study from MIT’s Nanda Project found that 90% of employees use AI for work, and most are hiding this activity from IT. That’s an unsurprising and yet jaw-dropping figure.

Jaw-dropping, because adoption has been so rapid, and unsurprising because GenAI is such a game changer for personal productivity. Yes, there are many caveats to using it, and no, it cannot replace your workforce. But it has the potential to improve productivity and workflows within your company, which is why it’s generating so much interest.

The disconnect between official enterprise AI initiatives and actual usage reveals a crucial notion: employees aren’t waiting for permission. Your workforce has already crossed what the MIT researchers call the “GenAI Divide” — the gap between organizations stuck in pilot purgatory and those extracting value from AI tools.

From Visibility to Intelligence: What GenAI Protect Reveals

This rogue behavior doesn’t have to be a liability. In fact, it could be the key to formulating an informed AI strategy for internal processes. But to work, you need visibility into which tools your workforce is using, and how they are using them. Then you can deploy the generative AI tools that work best for your team, develop use cases, and set informed policies for usage.

Sound like an impossible task? Check Point SASE can help you get there with Check Point GenAI Protect. Deployed via a browser security extension, GenAI Protect can show you which services your team is using, what kind of information they’re sharing, and even let administrators see the prompts.

That’s an incredible amount of data that can help you in two ways:

1. Govern GenAI usage and set your own policy restrictions including granular policy per app and user activity restrictions
2. Turn GenAI usage data into actionable insights: understand employee behavior and create usage policies that drive secure adoption

For people who have a habit of sharing sensitive information such as sales results and projections, or top-secret product plans, option 1 is a no-brainer. Proper security should also be in place to deal with the potential dangers of AI, and for developers going a little too far with vibe coding.

You’ve got the best pilot project growing right under your feet. Employees using GenAI on the down low tend to be highly motivated and are probably coming up with some creative and effective ways to use it. This kind of usage data is a goldmine for setting policy.

For administrators, Check Point GenAI Protect helps spot those problematic uses very quickly. All monitored GenAI sessions are scored for risk with categories such as low, medium, high, and critical.

In addition to monitoring prompts and the

unstructured data they contain, GenAI Protect also categorizes prompts by use case so you can see if your team is using an LLM for debugging, data analysis, content and image generation, and more.

Building Your AI Strategy on Real Usage Data

The world of GenAI promises to make your employees more productive, but they can only go so far without guidance. Consider some of the other findings from the MIT report:

1. GenAI currently isn’t transforming business despite $30-40 billion in enterprise investment
2. 95% of GenAI pilots don’t make it to production, with only 5% extracting value according to an MIT report
3. Of the industries surveyed, 7 out of 9 showed no structural change after adopting AI, with significant pilot activity but zero P&L impact

Why all the negative results? Partly due to the current limitations of GenAI, such as the ability to retain feedback and adapt to context. To be fair, those limitations are improving all the time; however, anyone who’s used GenAI long enough is all too familiar with these issues.

Given the limitations, can your company win with AI? Absolutely. The MIT report says the key is to target high-value workflows that are repeatable like initial contract review, document summary, and boilerplate code generation. Chances are some of your employees are already experimenting with how to improve these workflows inside your company right now. Use Check Point GenAI Protect to find them, see what they’ve been doing, and help point the way forward.

In India, nearly 47% of enterprises now have multiple Generative AI use cases live while another 23% are in pilot stages, signaling a decisive shift from AI experimentation to meaningful performance, according to the latest EY-CII report. Indian enterprises are embedding AI into core workflows with strong business confidence.

India’s telecom sector, with over 1.2 billion subscribers and high mobile internet penetration, serves as a key testbed for AI innovation. Nearly 49% of Indian telecom operators have integrated AI into daily operations, leveraging it for network optimization, customer engagement, and revenue growth. AI-driven improvements contribute to India’s forecasted 12-14% growth in telecom revenues for FY 2025.

According to Forrester, 56% of Indian city adults are actively using generative AI tools in 2025, up from 44% in 2024, making India the frontrunner in Asia Pacific for GenAI adoption. Indian users also show the highest levels of AI knowledge globally, with 63% reporting strong understanding of AI technology. This creates a fertile environment for enterprise AI adoption and innovation in India.

The most successful organizations in the MIT study didn’t try to build everything from scratch. Instead, they partnered with vendors who offered learning-capable tools that could adapt to their specific processes. These organizations treated AI procurement more like hiring a business process outsourcing (BPO) partner than buying traditional software — demanding deep customization and holding vendors accountable to business outcomes, not just feature checklists.

As a decision maker, it’s up to you to collect the data, observe usage, and then make policy decisions that set your team on a solid path. Your employees are already showing you what works. Now it’s time to scale strategically.