AI Governance & Security

Shadow AI in your clusters.
Found before it becomes an incident.

Engineering teams are deploying AI workloads faster than governance teams can track them. ZAP detects unapproved AI in your AKS, EKS and GKE clusters in seconds — and gives you the tools to govern AI use without blocking innovation.

EU AI Act Shadow AI detection AKS · EKS · GKE GDPR Self-hosted

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Seconds

Shadow AI detected

AKS · EKS · GKE clusters

HIGH

ITSM auto-raised

ServiceNow or Jira immediately

Aug 2026

EU AI Act enforcement

Are you ready?

Zero

Data sent externally

Runs inside your tenancy

The challenge

AI is moving faster than
your governance team.

Engineering teams deploy AI faster than governance can track

A Docker image is pulled. A Helm chart deployed. An AI workload is in production. The CISO learns about it in a security review three months later — if at all. By then, it may have processed regulated data without documentation, consent or security review.

EU AI Act enforcement begins August 2026

EU AI Act Articles 51–68 require high-risk AI systems to be registered, documented and governed. Unregistered AI workloads processing regulated data in production environments will create material compliance exposure from August 2026. Detection and governance are not optional.

GDPR and data residency risk

Every AI workload processing personal data must be documented under GDPR Article 30. Unapproved models processing patient data, financial records or employee information without documentation or Data Protection Impact Assessment create immediate data protection authority exposure.

Shadow AI detection

Every AI workload.
Detected automatically.

ZAP scans all Kubernetes clusters every scan cycle. Every AI container — known signature or behavioural pattern — surfaced immediately.

Local LLM inference

OllamaLocalAILM Studiollama.cpp serverGPT4All

Model serving

Hugging Face TGIvLLMNVIDIA TritonBentoMLRay Serve

Development tools

Jupyter NotebookJupyterHubJupyterLabCode Server

Vector databases

ChromaWeaviateQdrantMilvusPinecone proxy

AI frameworks

LangChain serverAutoGPTAgentGPTCrewAIOpenDevin

Behavioural detection

GPU workloads without approval

Inference endpoints on internal nets

High-memory ML containers

Unknown containers with model-serving patterns

Regulatory context

The frameworks driving
AI governance requirements.

EU AI Act

Articles 51–68 · Enforcement August 2026

High-risk AI systems must be registered, documented and subject to conformity assessment. Unregistered AI workloads in production create immediate compliance exposure from August 2026. ZAP provides detection, audit trail and governance documentation.

FCA

FCA PS21/3

Material outsourcing · AI vendor risk

AI tools used in regulated activities may constitute material outsourcing arrangements under FCA PS21/3. Undocumented AI usage creates regulatory reporting and vendor risk management failures.

DORA

ICT risk management · Third-party AI

DORA Article 11 ICT risk management requires financial entities to identify and manage ICT risk, including AI tools. Unapproved AI creates undocumented ICT dependencies that violate DORA requirements from January 2025.

NHS DSPT

Data Security and Protection Toolkit

DSPT requires all data processing tools to be documented and reviewed. AI workloads processing patient data without DPIA or documented approval fail DSPT requirements and create ICO reporting obligations.

Response options

Three paths when shadow AI is detected.

ZAP surfaces the finding. ZAP AI generates containment options. Platform Lead and Security Lead decide. Every decision documented.

Remove

Workload is not approved and should not be running. ZAP AI generates IaC change to remove the container and deny future deployments.

PR raised. Platform Lead approves.

Container removed. Namespace policy updated.

ITSM ticket auto-closed with full documentation.

Immediate risk eliminated. Policy updated to prevent recurrence.

Quarantine

Workload needs investigation before decision. ZAP quarantines the workload — network policy applied to isolate from production data and external endpoints.

Workload continues running but cannot access regulated data.

Review period defined. Documentation collected.

Risk contained. Time created for proper review. Audit trail maintained.

Whitelist

Workload is reviewed, approved and should be monitored. ZAP whitelists the specific image hash. DPIA reference number and approval documentation linked.

Ongoing monitoring continues.

Any change to image hash re-triggers detection.

AI use enabled with governance. Regulatory documentation completed. Continuous monitoring active.

Industry use cases

AI governance across
regulated industries.

Financial Services

Detect AI trading tools without material outsourcing documentation
Surface AI workloads processing customer financial data
Identify AI-powered fraud detection models running without DPIA
FCA PS21/3 vendor risk documentation for all AI tools

Healthcare & NHS

Detect AI diagnostic tools without NHS DSPT approval
Surface AI processing patient-identifiable data without DPIA
Identify AI triage or recommendation engines in production
GDPR and NHS DSP policy enforcement for AI workloads

Government

Detect AI workloads in classified or sensitive environments
Surface unapproved AI in OFFICIAL and SECRET estates
Identify AI tools processing citizen data without documentation
Crown Commercial AI procurement compliance

Enterprise & Telco

Detect AI in software development pipelines across the estate
Surface AI workloads across multi-cloud and multi-region deployments
Identify AI models processing employee or customer data
ISO 27001 AI risk management documentation

The difference

Without AI governance vs with ZAP.

Without ZAP

Shadow AI in clusters unknown until security review

No documentation for AI processing regulated data

EU AI Act exposure from August 2026 — unmitigated

GDPR Article 30 records missing for AI processing

CISO unaware of AI workloads until incident

Reactive response — containment is manual and slow

No audit trail of AI workload lifecycle

With ZAP

Every AI container detected within scan cycle — default 6 hours

ITSM auto-raised with image ID, namespace, cluster and owner

Three containment options generated by ZAP AI immediately

EU AI Act documentation trail built automatically

CISO notified with actionable options — not a raw alert

Remove · Quarantine · Whitelist — governed response options

Full audit trail: detection, decision, action, verification

Frequently asked questions

AI Governance questions answered.

Shadow AI refers to AI tools, models and workloads running in your cloud infrastructure without formal CISO or compliance team knowledge or approval. This includes AI containers in Kubernetes clusters, unapproved LLM integrations and AI-powered developer tools operating in production environments.

EU AI Act enforcement begins August 2026. High-risk AI systems must be registered, documented and governed. GDPR requires data processing through AI to be documented and lawful. Unapproved AI containers processing production data without documentation create material regulatory exposure in FCA, DORA and NHS-regulated environments.

ZAP scans all AKS (Azure Kubernetes Service), EKS (Amazon Elastic Kubernetes Service) and GKE (Google Kubernetes Engine) clusters on every scan cycle. It identifies AI containers by image signature, GPU usage patterns and inference endpoint behaviour. Detection triggers an immediate HIGH severity ITSM incident.

Yes. ZAP enables governed AI use — not prohibited AI use. Approved AI workloads are whitelisted and monitored continuously. Engineers can use AI tools that have been approved through the governance process. ZAP provides CISO visibility and regulatory compliance for approved tools.

ZAP provides detection of unapproved AI systems, audit trails for AI workload lifecycle, containment options for non-compliant systems and continuous monitoring of approved AI deployments. This supports the inventory, documentation and governance requirements of EU AI Act Articles 51–68.

ZAP raises a HIGH severity finding immediately. ServiceNow or Jira incident auto-raised with image ID, namespace, cluster and first detection timestamp. Platform Lead and Security Lead notified. Three containment options generated by ZAP AI: remove, quarantine or whitelist with documentation. Ticket auto-closed on resolution with full audit trail.

Free · 30 minutes · No commitment

See ZAP find shadow AI
in your estate — live.

30 minutes. We scan your clusters and show you what's running. No slides, no commitment.