Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

In a bid to quickly join the AI race, enterprises are steadily pouring time and money to adopt it. While designing a new AI tool, security and compliance are often an afterthought for developers and product managers. For industries that don’t handle sensitive data, AI adoption does not necessitate embedding strong privacy controls. However, highly regulated sectors like healthcare, finance, or government defence contractors can’t afford to launch without adhering to regulations.

Introducing our latest innovations, Netwrix Innovation Week, and our new corporate identity.

‍General-purpose AI (GenAI) and other artificial intelligence (AI) systems are now completely embedded within business processes across the market. The once purely imagined technology is significantly influencing operations and reshaping the very processes under which high-level decisions are made.

Last month, we brought together some of the brightest minds in cybersecurity for our Data Defense Forum event. As someone who's been in the trenches of data security for years, I walked away from these conversations with a renewed sense of urgency and optimism about where we're headed.

AI adoption is accelerating at an unprecedented rate. A recent McKinsey survey found nearly 80% of enterprises now regularly use generative AI, outpacing the early adoption of both the personal computer and the public internet. Agentic AI—autonomous agents capable of planning, reasoning, and acting on a user’s behalf—has likewise moved from pilots to production, with 79% of senior executives reporting adoption.

The web is entering a new phase. Artificial intelligence is beginning to act on behalf of people rather than simply assisting them. AI agents are now browsing, comparing, and buying, taking on the decisions that once sat firmly in human hands. This marks the start of the agentic marketplace, an emerging ecosystem where autonomous systems interact, negotiate, and transact across digital platforms.

As AI and automation become the norm, more and more organizations lean on them to streamline decision-making processes across business functions, including security. ‍ Traditional AI solutions take on repetitive and time-consuming tasks, freeing teams to focus on higher-level strategy and growth.

What if you hired about 100 new employees for every one you already had, and then, on a whim, gave them all admin rights? Sure, these fresh hires would likely be brilliant and hungry to make an impression. But they wouldn’t always know the rules. Some would make mistakes. Others might take liberties. Before long, it’d be bedlam. That’s what’s happening right now inside financial services institutions.