The agents
Fewer agents.
Every one honest.
Five AI agents that read your actual security reality, tier every claim by what was truly observed, and hand the decision to you. None of them writes your evidence. None of them approves anything on its own.
Why the list is short.
You’re doing the job of a whole GRC team. The market’s answer has been to announce dozens of agents that “automate your compliance” — including quietly generating your evidence. That’s the failure mode the category just got burned for: AI that declares without ever observing.
GRC Solo ships five, and every one respects the same hard line: observe reality, tier the claim by its source, route the consequence to a human. An agent here multiplies your output — it never replaces your judgment, and never pretends to see what it hasn’t.
The line every agent holds
The GRC expert, amplified — you stay in the loop, the agents do the reading.
How the loop runs solo
Five agents, one per turn of the loop.
These aren’t a feature checklist. Each agent runs a stage of the loop — Declare → Observe → Reconcile → Decide, then declare outward — so the whole thing stays in sync while one person runs it. The stage tag on each card is where it sits on the spine.
Drafts policies from what your company actually does, explains what changed and why in plain language, and reconciles each requirement against its observed state — so the prose stops drifting out of sync with reality.
Tracks which evidence is stale, missing, or contradicted by what’s observed, and hands you a prioritized re-verify list.
Continuously compares what your program claims against what your systems are observed doing, tiers every claim by whether a connector saw it, and surfaces the divergences as a work queue — not a green dashboard. It’s the whole idea in one agent.
Folds live advisories and known-exploited vulnerabilities into your control priorities, so a control that’s declared-passing but under active exploitation jumps to the top with a “prove it again” flag.
Drafts answers to security questionnaires from your observed posture, and flags any answer that would overclaim versus reality before it goes out.
Under the hood
Each agent is powered by AI surfaces already running in production — every one with its own evaluation suite, model governance, caching, and telemetry. No new black box, no autonomy you didn’t ask for: a named, scoped capability you point at a job, that ends at your decision.
See the agents work against a live synthetic environment.
Walk the loop on a synthetic sample company — no signup — and watch each agent observe, tier, and hand you the decision. Then read our own live posture before you spend a minute on a call.