 # Shadow AI Agents: A New Headache for CISOs and an Opportunity for Business Imagine: your company has dozens of departments, each solving its own tasks. Marketing automates mailings, sales set up lead scoring, HR filters resumes. And each of them launches AI agents—without IT approval, without security control, without a unified standard. This is not hypothetical. A Nokod survey revealed a shocking figure: security teams see only 44% of AI applications running within their own organizations. The remaining 56% are "shadow" agents living their own lives. ## Why This Is a Problem Right Now AI agents are no longer a toy for enthusiasts. They have become full-fledged digital employees that: — process customers' personal data; — make decisions about debiting funds; — interact with external APIs; — generate contracts and commercial proposals. Each such agent is a potential leak point. And if there are dozens of them and no one knows where they are deployed or what data they process? That's a compliance disaster. ## Two Sides of the Same Coin On one side—chaos. On the other—incredible productivity. Teams that independently implement AI agents show efficiency gains multiple times over. They don't wait for the IT department to get moving—they just do it. The question is not how to ban shadow agents (that's futile). The question is how to make them visible and manageable. ## What Is Changing Platforms like Salesforce Agent Fabric and Microsoft Copilot already offer centralized dashboards for managing AI agents. But this is a "top-down" solution—it doesn't account for the fact that most agents are born "bottom-up," from specific business tasks. The real answer is to give business users a tool that: 1. Allows creating agents without a single line of code; 2. Automatically logs all actions of each agent; 3. Provides CISOs with a unified monitoring dashboard; 4. Scales from one agent to hundreds. ## ASI Biont and the New Approach At ASI Biont, we are building exactly such an ecosystem. Our AI agents are not a black box, but transparent executors with full action auditing. Every step is logged, every decision is explainable, every agent is under control. Shadow agents are not a threat. They are a signal that the business needs AI tools, and needs them right now. The task is not to stifle initiative, but to give it a secure infrastructure. Ready to discuss how to make your AI agents transparent and manageable? Write to me—I'll tell you how we solve this problem.