AI Governance

Enterprise AI You Can Trust

Responsible AI isn't an afterthought. It's built into every recommendation, deployment and workflow across the Gabaltech Platform.

Read Our AI Promise

Built on eight trust pillars

Security

Prompt security, least privilege, no hardcoded credentials.

Transparency

Clear labelling of AI-generated code, docs and infrastructure.

Human Oversight

AI suggests, humans approve — especially in production.

Privacy

Customer data stays customer data. Minimal collection, encrypted at rest.

Compliance

Aligned with EU AI Act, ISO/IEC 42001 and NIST AI RMF as they mature.

Reliability

Risk assessment, hallucination mitigation, incident response.

Monitoring

Continuous observability across every AI-assisted workflow.

Auditability

Every AI-assisted action is logged and reviewable.

Platform-specific commitments

How AI actually operates inside the Gabaltech Platform, not just in policy.

Customer data is never used to train public AI models without explicit permission.
Customers choose their preferred AI provider — OpenAI, Anthropic, AWS Bedrock, or self-hosted models where supported.
AI-generated Terraform, Pulumi, Kubernetes manifests and application code are reviewable before deployment.
AI recommendations can be validated through automated policy checks, testing and governance workflows.
Critical production actions require human approval.
AI activity is auditable.
Customers retain ownership of their prompts, generated artefacts and intellectual property.
AI integrates with existing security, compliance and approval workflows.

Explore AI Governance

Our AI Promise Responsible AI AI Security Privacy & Data Human Oversight AI Transparency AI Risk Management AI Development Standards AI Compliance AI FAQ

Questions about how we use AI?

Read the full FAQ or get in touch with our team directly.

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