New: 50+ AI agents, governed by one AI core

Specialised agents in every module. One governed AI core.

Vigil8 is built around AI that does real GRC work — drafting, preparing, testing, mapping, reading — under the controls a regulated organisation needs.

specialised agents
0+

specialised agents

one job each

models trained on your data
0

models trained on your data

red-team attacks
Weekly

red-team attacks

against every agent

AI actions on the ledger
0%

AI actions on the ledger

The AI core

One gateway for every agent

Agents do not call models directly. They go through Vigil8's AI core, which applies the same rules to all of them.

Governed AI core

Writers
Assurance
Testers
Mappers
Readers
Assistants

Guardrails in and out

Personal data and secrets redacted before the model sees them; injected instructions caught in documents and evidence; your own rules added in configuration.

Grounded and cited

Agents answer from your records and cite them. Anything they cannot ground is dropped before you see it.

The AI ledger

Every model call, tool use and decision — encrypted, append-only and readable by your auditors.

Kill switch and budgets

Stop all AI, one agent or one model at once. Budgets per team, agent and model, with alerts.

Scorecards

Per agent and month: runs, failures, test pass rate, citations kept and how often people corrected it.

Models in your region

Models deployed for you in your hosting region — or your own model, validated before it serves.

People in charge

Autonomy you switch on, never assume

01

Suggestions under each field

Writers suggest field by field. Accept, edit or dismiss — no copy and paste, nothing applied without a click.

02

Findings, not decisions

Workflow agents say what they found — clear, exceptions or unsure — and people take it from there.

03

"Same as before", only by choice

An organisation may let a person sign off together findings identical to periods confirmed one by one. Anything new is looked at alone.

The learning loop

Agents learn your style — without retraining on your data

No reinforcement learning on customer data. Instead, what your people accept or correct can become an agent's examples — chosen by your administrators, removable at any time.

  • Examples, not training

    Accepted and edited outputs are shown to the agent as examples of your preferred style.

  • Gated by tests

    A change to an agent's examples takes effect only if its tests pass no worse with it.

  • Your data stays yours

    Examples stay in your environment, encrypted, like everything else.

A few of the agents

One job each, done well

Vigil8 · Policy management
Revise the access control policy: privileged access must now be reviewed every quarter.

Policy writer · suggestion

Cited: Access control policy v3, section 4.3

AcceptEditDismissNothing changes until a person confirms.

Put 50+ agents to work for your team