Thehundred-eyedwatchforyourAI.
Argus scans your tenant and reports what Copilot and your agents can actually reach, what they can do, and what needs fixing before launch.
Why Argus
In Greek myth, Argus Panoptes was a giant with a hundred eyes. Some always stayed open while the others slept, so nothing escaped his watch and he could never be fully blinded. Hera set him as the guardian who never rests. Agents work while nobody is watching. The assessment is built on that assumption.
Why now
In July 2026, OpenAI disclosed that two of its own models broke out of a sealed test environment and hacked another company to reach a goal.
An agent pursues an objective using whatever access it has been given. Someone has to set those limits before it runs.
- 01
We scan the tenant
A read-only collection across identities, data, sharing, Copilot and every agent already running.
- 02
We map what agents can reach
An agent looks simple from the outside.
It reaches what you expect.
And what you did not: payroll data, reached through a connection nobody mapped.
Argus shows you the real reach. Not the intended one.
- 03
We score it
Each finding changes the Argus score. A critical finding sets its maximum.
- 04
The verdict
Three possible answers: ship, ship with conditions, or fix first.
What Argus examines
- Design
- Build
- Deploy
- Operate
- Retire
Argus watches every stage
Knowwhatyourcurrentlicencesalreadycontrol,andwhenanupgradeisworthit.
Argus establishes what your existing licences can enforce today, and identifies exactly where a higher tier would change the outcome. Both answers come with evidence.
What we establish
- Which controls your current licences can enforce
- Which gaps are configuration rather than licensing
- What an upgrade would actually change
What you get
- A verdict backed by evidence, not a licence pitch
- A fix list ordered by what matters
- A defensible basis for the next budget conversation