Question 1

How do we prove AI outputs meet our internal policy rules?

Accepted Answer

Spartak Govern enforces policy at runtime — not as a post-hoc review step. Every inference passes pre-validation (input classification, schema check) and post-validation (output sanitisation, schema enforcement) before it reaches downstream systems. The audit trail records which policy version governed each decision, so your CISO can demonstrate deterministic enforcement rather than probabilistic guardrails.

Question 2

Can we produce audit evidence for regulators and the board?

Accepted Answer

Yes. The Audit Trail module captures every inference decision, routing choice, validation outcome, and policy version inside your perimeter. Records are immutable and exportable for board packs, regulatory submissions, and internal risk committees — without routing sensitive logs to an external vendor. Representative deployments retain full inference lineage for the retention period your compliance framework requires.

Question 3

What happens when someone attempts prompt injection or data exfiltration?

Accepted Answer

Injection and exfiltration attempts are blocked at the Compliance Gate and Output Validator — structural layers in the 7-module core, not bolt-on filters on a public endpoint. Blocked attempts are logged with the full request context, the policy rule that fired, and a timestamp. Your security team sees the event inside the perimeter; nothing crosses the seal to an external alerting service.

Question 4

How does Spartak Govern pass procurement and board review?

Accepted Answer

Governance is built into the architecture your procurement team is already evaluating — not a separate SaaS control plane with its own data residency questions. Spartak runs air-gapped inside your perimeter with zero external API dependency. The deal-gate question — can we approve AI at all? — is answered by runtime enforcement evidence, not vendor assurances. A live perimeter demo walks your CISO and procurement lead through the policy console and audit export workflow.

Question 5

Is this just guardrails wrapped around a public LLM?

Accepted Answer

No. Spartak is the execution substrate — deterministic orchestration, routing, validation, and audit inside your perimeter. Govern is not a wrapper on Azure OpenAI or a single-vendor model; it is runtime governance over the full multi-model pipeline the engine runs. Policy gates, security architecture, and audit trails are modules in the same sovereign stack — not middleware between your data and someone else's API.

Board-Grade AI Governance. Enforced at Runtime.

Policy executes on every inference — not in a slide deck.

Security is structural — inherited from the 7-module core.

Evidence your board and regulators can review without vendor trust.

Every control mapped to the inference path it governs.

Start the conversation — a live engine walkthrough against your environment.

Start with a conversation.