AI agents are no longer passive tools. They’re making decisions, taking actions, and operating across workflows with increasing autonomy. And while this evolution unlocks enormous potential—it also introduces real, often invisible, risk.
Most enterprises deploying agentic AI are doing so without meaningful oversight. It’s a dangerous blind spot.
What Happens When Agents Go Off Script?
AI agents are only as aligned as their last instruction. In the real world, that means:
• An agent designed to handle customer inquiries might start offering legal advice.
• An internal workflow assistant could accidentally expose sensitive data in an external channel.
• An LLM-powered tool might take an action that contradicts company policy—or worse, breaks compliance.
These aren’t edge cases. They’re the natural consequence of giving powerful models autonomy without guardrails. And once an agent is deployed, many teams have no idea what it’s really doing—until something breaks.
Why Traditional Monitoring Isn’t Enough
Security teams are used to log analysis, anomaly detection, and user behavior monitoring. But agentic AI isn’t a traditional user or app. It interprets intent, generates new behavior, and adapts over time.
That’s why old-school monitoring tools miss the mark. They’re not designed to understand:
• Whether an agent’s actions match the user’s original goal
• If the model is being manipulated via prompt injection or jailbreaking
• How AI behavior shifts subtly over time as data or instructions change
Without AI-native observability, CISOs and CTOs are flying blind.
Supervision ≠ Friction
You don’t need to slow down innovation to keep AI agents in check. What you need is light-touch, always-on oversight—something that’s aware of every interaction, every instruction, and every output.
That’s where Aiceberg comes in.
How Aiceberg Keeps AI Agents Aligned and Accountable
Aiceberg acts like a real-time control plane for your AI deployments. It listens to every prompt and response, detects risky patterns, and enforces your organizational policies—all without needing to sit in the critical path.
With Aiceberg, you can:
• Monitor agent intent vs. action: Know if agents are drifting from their purpose.
• Detect manipulation or misuse: Flag prompt injection, role impersonation, and data exfiltration attempts.
• Redact or block risky outputs: Automatically stop sensitive or noncompliant behavior before it reaches a user.
• Keep humans in the loop: Create workflows where analysts can review, approve, or override AI decisions.
• Gain full observability: Understand how AI is being used across your org, with traceable logs and explainable decisions.
Let AI Work For You—Not Around You
Autonomous agents can be a massive competitive advantage. But only if they stay aligned with your goals, your policies, and your risk posture.
With Aiceberg, you get the upside of AI autonomy—without the downside of unsupervised drift.
👉 Book a demo to see Aiceberg in action
📥 Download the Agent Oversight Guide to learn more about securing your AI agents
Don’t leave your future in the hands of unsupervised machines. Put a Guardian Agent in place.
Conclusion
AI agents bring powerful automation—but without oversight, they can become liabilities. From misaligned actions to data leaks, unsupervised agents expose your enterprise to serious risk. Traditional tools can’t keep up, but Aiceberg can. With real-time monitoring, explainability, and human-in-the-loop controls, Aiceberg ensures your agents stay aligned, secure, and accountable. You get the speed of AI, with the safety your business demands. Ready to stay in control? Let’s talk.
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