Let your agents run.
Guards run with them.
TraceCtrl AI-DR detects attacks on your agents at runtime, blocks them in line, catches the anomalies that only show up in behavior, and turns every incident into policy that prevents the next one.
By the time someone reads the alert,
the agent has already acted.
An agent doesn’t wait. It reads the email, follows the instructions hidden inside it, calls the tool and moves the data, all inside the same second, using credentials you gave it. There is no moment where a person looks at the request and thinks twice. Monitoring built for human-paced systems finds out afterwards, in a log.
TraceCtrl AI-DR moves the check into the moment itself. It watches every session as it runs, stops unsafe actions before they finish, and investigates behavior that doesn’t fit how the agent normally works.
What this changes for your team.
Three practical differences from log-based monitoring.
Multi-step attacks flagged
Behavioral analysis reads intent across a whole session, so paraphrased injection and slow-building chains are flagged even when every individual step looks fine.
Fewer false positives
Every detection is checked against session context and the agent's own history before it raises an alert, so analysts chase fewer signals that turn out to be nothing.
Blocking that doesn't break work
Unsafe actions are stopped in line the moment they occur. Everything else in the session keeps running, so protection doesn't mean pausing the agent fleet.
Runtime detection & response,
built for autonomous agents.
Detect runtime attacks as they happen
AI-DR watches live agent traffic: prompts, retrievals, tool calls and outputs. Known attack techniques like prompt injection and data exfiltration are flagged the moment they show up in a session, with the full context of what the agent was doing.
- Every prompt, retrieval, tool call and output inspected in real time
- Detections matched against TVDB, our maintained library of agent attack techniques
- Each alert carries the full session, not a single log line
Powered by our own zero-day agentic threat research.
TVDB is our threat-intelligence database of malicious prompts and attack techniques, collected as they appear in the wild and matched by semantic similarity. New entries ship as AI-DR detections before they show up in an incident.
Explore TVDB →A single poisoned embedding steers every downstream agent that retrieves it. No direct access to any agent required.
Put a guard in the path of every agent action.
Book a demo and watch an attack get detected, blocked in line, and turned into standing policy.