Crack down on shadow AI, or sanction it with guardrails?
Blocking AI access drives shadow usage, preventing the early observation required for EU AI Act compliance and exposing organizations to critical audit failures.
The question
Half our staff already uses AI tools we didn't approve. Do we block-and-detect (acceptable-use policy + DLP + monitoring) or sanction-and-route (approved AI gateway + clear policy + observability) — and which one survives the August AI Act deadline?
Counsel's position
Implement a sanction-and-route strategy with an approved AI gateway to achieve compliance and visibility by the August AI Act deadline.
Verdict
The verdict: Implement a sanction-and-route strategy with an approved AI gateway to achieve compliance and visibility by the August AI Act deadline.
How the criteria decide
3 of 3 criteria resolved on cited evidence.
| Criterion | Favours | Evidence |
|---|---|---|
| shadow AI governance and discovery | Sanction and route | Blocking AI access drives shadow usage and eliminates system visibility If you block access, a lot of shadow AI may come up on developers or users' desktop. EU AI Act audits demand verifiable technical evidence of compliance shadow AI becomes a serious risk because compliance will be impossible if organizations don’t know which AI tools their employees are using. Employees use unapproved AI tools at work Most CASBs ship with AI app categories already defined. In Defender for Cloud Apps, go to Cloud App Catalog, filter by "Generative AI", and mark each app as Sanctioned, Unsanctioned, or Monitored. |
| approved AI gateway architectures | Sanction and route | AI gateways centralize visibility and policy across multiple model providers The Stacklok AI Gateway puts multiple model-provider APIs behind a common endpoint, including OpenAI, Anthropic, Amazon Bedrock, Azure OpenAI, Vertex AI, and Gemini. |
| AI acceptable-use policy + employee enablement | Sanction and route | Blocking AI access drives shadow usage and eliminates system visibility If you block access, a lot of shadow AI may come up on developers or users' desktop. Employees use unapproved AI tools at work Most CASBs ship with AI app categories already defined. In Defender for Cloud Apps, go to Cloud App Catalog, filter by "Generative AI", and mark each app as Sanctioned, Unsanctioned, or Monitored. |
Blocking AI access drives shadow usage and eliminates system visibility
Restricting AI tools pushes employees toward unmonitored alternatives, preventing the early observation required to build production-ready, compliant systems.
AI gateways centralize visibility and policy across multiple model providers
Routing traffic through a unified gateway allows organizations to enforce identity, policy, and budgets consistently without forcing teams off their preferred models.
EU AI Act compliance requires tamper-resistant execution lineage and telemetry
Meeting regulatory requirements for autonomous AI systems demands machine-readable evidence packages that map directly to specific legislative articles.
EU AI Act audits demand verifiable technical evidence of compliance
Regulators will require documented AI system inventories and technical proof of risk management, making shadow AI a critical compliance failure.
Employees use unapproved AI tools at work
Traditional security assumes organizations know what they run, but AI adoption requires active discovery using Cloud Access Security Brokers (CASBs) and service mesh telemetry.
Read another verdict
- Start with a small test, or take on the whole process at once?
- Our competitors advertise AI and we don't — match them, or hold the line?
- Our people already put client files into ChatGPT — ban it, frame it, or supply a tool?
- Our most experienced person retires in two years — how do we keep what they know?
- We can't hire the experienced people we need — automate, train up, or outsource?
- Slow our EU AI Act prep now the deadline's moved to 2027?
- Use AI to flatten middle management this year?
- Let an AI agent act on its own — or keep a human in the loop?