Govern every agent's behavior, posture & credentials — and prove it.
For the CISO — one seat to answer “are we safe?” about every AI agent in the org, and to show the evidence.
AI agents now act on your behalf with real credentials, real data access, and real reach — but they never registered, no one issued their keys, and most of what they do leaves no record. Your seat answers one question: across every agent running in the org, what is unsafe right now, and what needs a human?
The agents you can't see are setting your real posture.
Behavioral risk is scattered across tools, the roster is incomplete, the credentials are off-standard, and when something goes wrong there's no record to replay. You can't answer the board, and you can't enforce what you can't see.
A blind spot, not a number
A healthy-looking fleet can hide dark agents that emit no telemetry. If they're critical, your real posture is far worse than the one you report.
A pile of risks, not a worklist
Findings arrive scattered, with no order and no owner. A high finding on an agent you don't control can't be enforced anyway — it just clutters the queue.
Identities you never issued
Agents pick up static keys and personal OAuth tokens no one rotates. They aren't bound to your org, they don't expire, and if one leaks you can't say how far it reaches.
No record of the read
Agents open secrets, dotenv files, and source as part of their work — and today that access leaves no path, no count, and no owner to ask.
The control you won't turn on
A policy that blocks the wrong thing breaks real work, so the enforce switch stays off. You can't see what a rule would catch before you arm it.
No flight recorder
When an incident hits, you have the headline finding but not the trail. You can't replay exactly what the agent did, in order, to scope the blast radius.
One seat: see every agent, rank what's enforceable, score the fleet, govern the keys.
The CISO seat turns scattered agent risk into a coverage number, a ranked worklist, a posture you can trend, and credentials held to your standard — each tied to a named owner.
Close the blind spot
One roster of every agent — including the ones installed but reporting nothing — ranked by risk, so control coverage becomes a number you can trust and grow.
A worklist you can act on
Findings ranked by enforceability then severity, each mapped to OWASP LLM, MITRE ATLAS, or NIST AI RMF — so the queue doubles as control evidence.
A posture you can trend
A single 0–100 score against a target, with a six-week trajectory and a fix-this-first roadmap ranked by ROI — progress as a line, not an anecdote.
Credentials, brought to standard
Trace each agent's credential provenance, flag the stale and the weak, and move the fleet toward identities you can rotate, audit, and revoke centrally.
Replay exactly what an agent did — before you remediate.
Incident response needs the full record, not the headline. The Activity Log reconstructs the agent → action → target → outcome trail behind every finding, so you can scope an incident in minutes instead of guessing.
Reconstruct the trail
Run starts, file reads, MCP calls, and LLM turns, in order, per agent — the behavioral record behind the finding, newest first.
Filter to what's flagged
Lead with the risk-bearing actions and the events that tie directly to an open finding, then clear the filter for the full chronological record.
Pivot to the agent and act
Every row is attributable and clickable — jump from the action straight to the agent profile, and on to the enforceable worklist.
The whole fleet on one roster
Every agent, every owner, every lifecycle state — with the dark ones surfaced, not hidden.
Findings ranked by what you can enforce
One queue, ordered by enforceability and tied to the frameworks you report on.
A posture score you can defend to the board
One number, a target, and the trend between them — blind spots priced in.
An auditable record behind every control
The Activity Log is the timestamped, attributable why-trail beneath every finding.
Make “are we safe?” a question you can answer.
See every agent, work the findings that move the needle, and replay exactly what happened.