Copilot writes the code. Who answers for it?
GitHub Copilot is usually the first AI tool an enterprise deploys at scale and the last one anyone governs. Seats get assigned and never reclaimed, source code leaks to consumer AI running alongside it, and nobody can say which team's spend is which. Govern360 attributes every seat and every dollar, watches the code that leaves your perimeter, and keeps the evidence.
The engineering AI governance gap. Copilot Business and Enterprise give you policy toggles and a seat list. They do not tell you which seats are dormant, which team incurred which portion of the bill, whether your engineers are also pasting proprietary code into consumer chatbots on the side, or how any of it maps to a control an auditor will accept.
What goes wrong at scale
Dormant seats keep billing
Seats are assigned during a rollout and rarely reviewed. Licences for people who moved teams, changed roles or left keep renewing because nobody owns the reclaim step.
Spend with no team attached
The enterprise bill arrives as one number. Without per-team attribution, engineering leadership cannot defend the line item or decide where to expand.
Consumer AI beside the sanctioned tool
Providing Copilot does not stop an engineer pasting a proprietary module into a consumer chatbot when it is faster. Sanctioned adoption and shadow use rise together.
Suggested code, inherited risk
AI-suggested code can carry vulnerable patterns or provenance questions. Someone has to own review policy, and it has to be evidenced rather than assumed.
Agentic coding widens the blast radius
Coding agents that open pull requests and run commands act with a service identity, not a human one — and that identity is rarely governed like an employee.
Toggles, not evidence
Policy switches in the admin console tell you a setting is on. They do not produce the mapped, continuous evidence an ISO 42001 or SOC 2 auditor asks for.
What Govern360 adds
Seat and consumption attribution
Copilot seats and billed consumption attributed to teams and cost centres, including enterprise-level billing where your organisations roll up under an enterprise account.
Dormant-seat reclamation
Assigned-but-inactive seats surfaced with the owner and the last activity signal, so reclamation is a routine monthly action rather than an annual argument.
Data Shield for code egress
Detectors designed to catch source code, secrets and keys heading to unsanctioned AI destinations, with policy compiled into the endpoint and network planes you already run.
Non-human identity for coding agents
The service identities behind coding agents inventoried, owned and reviewed like any other privileged account, with expiry rather than indefinite standing access.
Budgets and anomaly alerts
Per-team ceilings and anomaly detection on consumption so a runaway automation is caught in-month. Budgets alert and record evidence; they do not block usage.
Framework-mapped evidence
Copilot policy, seat governance and code-egress controls mapped to SOC 2, ISO 42001, NIST AI RMF and the EU AI Act, generated continuously.
How it connects
A read-only connection to your organisation or enterprise account pulls seat assignment and billed consumption. Enterprise-account roll-ups are supported where your organisations sit under an enterprise slug.
Entra and endpoint or network signal let Govern360 tie seats to people and detect the consumer AI running alongside the sanctioned tool.
Code-egress and AI-use policy compiles into configuration for your existing DLP, endpoint and network planes, applied by a human after review.
Questions, answered
How do we find unused GitHub Copilot seats?
Compare seat assignment against activity signal over a rolling window and attribute each seat to a current owner and team. Govern360 reads seat and billing data from your GitHub organisation or enterprise account and surfaces assigned-but-inactive seats with their owner, so reclamation becomes routine.
Can Govern360 attribute GitHub Copilot spend to teams?
Yes. Seats and billed consumption are attributed to teams and cost centres and rolled into the Executive AI Bill for showback or chargeback, including enterprise-level billing where organisations roll up under an enterprise account.
Does GitHub Copilot train on our private code?
Business and Enterprise plans are contracted not to train on your private repository content, and your agreement with GitHub is the authoritative statement of that. The governance risk that remains is behavioural: engineers using consumer AI tools alongside Copilot, where no such commitment applies. That is the exposure Govern360 is designed to surface.
How do we stop source code going to consumer AI?
Detect it and enforce in the planes you already run. Data Shield detectors are built to identify source code, secrets and keys in outbound AI traffic, and the corresponding policy compiles into your endpoint, DLP and network configuration for a human to apply.
How do we govern coding agents that open pull requests?
Treat the agent's identity as a privileged non-human identity: give it a named owner, a scope, an expiry and a review, and evidence the controls. Govern360 inventories those identities alongside your other AI systems.
Does Govern360 sit between our developers and Copilot?
No. Govern360 does not proxy traffic and holds no standing write credentials. It reads telemetry and compiles policy into the platforms you already operate, with a human applying every change.