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Know what your AI agents did,
and who told them to.
SÝN ADR records the instruction behind every action an AI agent takes, not just the file it wrote. When an agent reaches for something it should not, the session is held, the full chain is preserved and an analyst is assigned.
Detection and response built for AI agents.
AI coding agents now read your code, call your internal tools and touch production data on a developer's behalf. Endpoint logs show the file that changed. They do not show the prompt that asked for it, the tool the agent chose, or the command it ran next. When something goes wrong, that missing chain is the whole investigation.
SÝN ADR records every instruction, command and tool call an agent makes. We plant decoys where agents work: credentials, files and endpoints that no legitimate task should touch. When one is touched, the session is held, the full chain from instruction to action is preserved, and one of our analysts takes the case. Sensitive content never leaves your environment.
- An inventory of the AI agents in use across your teams, sanctioned or not
- A full record of each agent session: the instruction, the tool calls and the commands, in order
- Decoys placed where your agents work, so misuse announces itself
- Held sessions and a preserved chain of events when a decoy is touched, with an analyst assigned
- Quarterly governance reporting your leadership and auditors can read
Assess first, then watch continuously.
Two-week assessment
A fixed-scope engagement. We find which agents your developers run, what they can reach, and where the exposure sits. You get the inventory whether or not you continue.
Record the chain
The sensor captures each instruction, command and tool call an agent makes, so every action has its reason attached.
Plant the decoys
Decoys go where agents operate. A legitimate task never needs them, so any touch is a signal worth acting on.
Hold and investigate
When a decoy is touched, the session is held, the chain is preserved and an analyst works the case with your team.
Report every quarter
Managed monitoring continues with quarterly governance reporting: what agents did, what was stopped, and what to change.
The file is the last step,not the story.
Prompt injection
An agent reads a poisoned document or web page and follows instructions hidden inside it. The record shows exactly which input changed its behaviour.
Over-reach
An agent with broad access goes after secrets or data outside its task. Decoys catch the reach before real data moves.
Unofficial use
Developers adopt agents on their own. The assessment surfaces them so you can govern what is already running.
Who it is for
Organizations whose developers use AI coding agents with access to source code, internal tools or production data, and who need to show what those agents did and why.
- HLÍN, control what staff paste into AI tools
- MSOC, 24/7 detection across the rest of your estate
- AI security assessment, shadow-AI control and securing the AI you build
What buyers ask.
We don't use AI agents.
Your developers probably do, unofficially. The two-week assessment gives you the inventory either way, so you are deciding from facts rather than assumption.
Does our code or data leave our environment?
No. Sensitive content never leaves. SÝN ADR records what agents did and why, and our analysts work from that record.
Our EDR already watches developer machines.
EDR sees the process and the file it wrote. It does not see the instruction that caused it or the tool the agent chose. SÝN ADR records that chain, which is what an investigation needs.
Will it slow our developers down?
Agents keep working normally. A session is only held when a decoy is touched, which a legitimate task has no reason to do.
What happens after the assessment?
If you continue, we move to managed monitoring with an analyst on every held session and quarterly governance reporting. If you do not, you keep the inventory and findings.
Find out what your agents are doing.
Start with a fixed-scope two-week assessment. Scope it with an engineer, no charge.