Why Govern360

AI governance was built for a world that no longer exists.

Spreadsheets, static policies, and once-a-year audits cannot keep pace with AI that spreads, spends, and acts on its own. Govern360 replaces point-in-time governance with a continuous control plane — and one explainable score.

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Traditional AI governance vs. Govern360

The same responsibilities, handled two completely different ways.

AI inventory

× Traditional: Manual, point-in-time spreadsheets
✓ Govern360: Continuous, automated AI discovery

Policy

× Traditional: Static documents nobody enforces
✓ Govern360: Live policy compiled into Purview & Intune

Audit & evidence

× Traditional: One-time scrambles before a review
✓ Govern360: Continuous, audit-ready evidence

AI spend

× Traditional: Unknown, unattributed on the cloud bill
✓ Govern360: Every token attributed, explainable allocation

Agents & identities

× Traditional: Ungoverned, no owner, never offboarded
✓ Govern360: First-class identities, least privilege, tamper-evident trail

Data protection

× Traditional: Detection after the leak
✓ Govern360: DLP prevention at the point of use

Governance health

× Traditional: A subjective opinion
✓ Govern360: One explainable Govern360 AI Exposure Score™

The shift in one sentence

Governance stops being a document you produce and becomes a number you improve. Govern360 discovers AI continuously, enforces policy live, keeps evidence current, attributes every dollar, and rolls it all into the Govern360 AI Exposure Score™ — so safety becomes something teams raise over time, not a gate that slows them down.

Observed, without sitting in the path

The category's standing argument is that you cannot see what an agent actually did unless you are in the request path. The customer's own collector is the counter-example.

Diagram titled Observation without interception. A dashed box labelled inside the customer's network contains three linked boxes: user or application, then AI agent, then model, tools and data, with a note reading the request path, nothing of ours is in it. Below the agent, an arrow goes down to a box labelled their OTel collector, with a note that their attribute-drop processors run there and the Govern360 allowlist is the second line, not the first. A dashed arrow leaves the collector, crosses out of the customer's network and reaches a box labelled Govern360 runtime intake; the arrow is labelled export only, one way, metadata only, and the intake carries a note reading receives evidence, cannot intercept, delay or block a single call. Four cards below read: metadata only, the content mode permits nothing else and prompt text is never stored; pseudonymous initiator, an HMAC under a per-organisation key, default screens never show a person; no enforcement, dry-run throughout, findings are evidence for a person never a block; and real-time is defined, seconds to minutes after the source exports, it never means inline blocking. Open full size
Evidence of what ran, from outside the path.

Enterprises already run an OpenTelemetry collector. It exports spans, so Govern360 can read what an agent actually called without becoming a hop in front of it — no latency to budget for, no new single point of failure, and nothing to roll back under change control. Their attribute-drop processors run inside their network; our allowlist is the second line of defence, not the first. Four limits hold by design: metadata only (prompt text is never stored), a pseudonymous initiator (an HMAC under a per-organisation key, so default screens never name a person), no enforcement anywhere in this programme, and “real-time” defined as seconds to minutes after the source exports — it never means inline blocking.

A decision is not an invocation

Three states that most products in this category draw as one line on a graph. Govern360 drew them as one line too, until it went looking.

Diagram titled A decision is not an invocation. On the left, three stacked cards define three states: Configured, what the agent is permitted to do, read from its configuration, it may never have done it; Decided, allow, deny, defer or challenge, a permission or a refusal, nothing has run; and Observed, a source event proves the call completed, only runtime telemetry can say this. On the right, a panel headed what the merge cost, measured on one estate. A red before block reads 359 observed edges across 180 agents, every one of them a policy decision, 358 asserting that data had left the boundary, and one agent showing sends to ServiceNow, 3 calls, on a record whose decision was DENY. A green after block reads zero observed edges drawn from the decision log, because no current source proves a named tool executed, so the graph says so and the gap is written out in words. A red line beneath reads: a refusal was being rendered as an action, and the fix deleted 359 of the product's own findings because they were not findings. A strip along the bottom lists the four replacement coverage notes: runtime tool invocations, observed runs, policy decisions and unproven activity records. Open full size
We found this in our own graph, and deleted it.

Configured is what an agent is permitted to do. Decided is a permission or a refusal — nothing has run. Observed means a source event proves the call completed. On one connected estate this product was drawing 359 observed edges across 180 agents, and every one of them was a policy decision; 358 of them asserted that data had left the boundary. One agent showed “sends to ServiceNow, 3 calls” on a record whose decision was DENY — a refusal rendered as an action. The fix removed all 359, because they were not findings. What the coverage note says now is that no connected source has recorded that agent executing a tool call, which is a less impressive screen and a true one.

Questions, answered

How is Govern360 different from traditional AI governance?

Traditional AI governance is manual and point-in-time — spreadsheet inventories, static policies, and audits done once a year. Govern360 is continuous: automated discovery, live policy enforcement, ongoing evidence, attributed spend, and a single explainable AI Exposure Score that updates as your estate changes.

Is Govern360 a consulting service or a product?

A product. It is the enterprise AI control plane — software your team operates continuously — not a point-in-time assessment delivered as a slide deck.

What makes the AI Exposure Score better than a dashboard?

A dashboard reports numbers; the score turns them into a prioritized worklist. Every point traces to a finding with a fix and a point value, so the score drives action instead of just describing status.

See the difference on your own estate.

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