STAY IN CONTROL · COMPLIANT BY ARCHITECTURE

AI Governance

Put your organisation firmly in control of its AI. Data loss prevention, policy-as-code, scoped identity, and immutable audit are built into the runtime — so every model, agent, and prompt stays governed, and external AI is reached only when you opt in.

Book a DemoCommon Questions

You Stay in Control

Your keys (BYOK/HYOK), your perimeter, and opt-in for any external AI vendor — no data leaves or model is called without your say-so.

DLP & Guardrails

Outputs are screened for PII, checked for hallucination, and validated against regex / JSON gates before they leave the platform.

Compliant by Architecture

Controls map to the EU AI Act, ISO 27001/42001, GDPR, SOC 2, and SecNumCloud, with evidence packs to prove it.

Definition

AI governance is the set of controls that keep an organisation in command of how AI uses its data and acts on its systems — data loss prevention, policy enforcement, identity and access control, audit, and human oversight. On the AI OS these controls are built into the runtime rather than bolted on: every agent and workflow runs fail-closed under policy, outputs are screened for sensitive data, external AI vendors are opt-in, and the platform maps its controls to frameworks such as the EU AI Act, ISO 42001, GDPR, and SOC 2.

Putting AI into production raises an uncomfortable question: who is actually in control of your data and what the AI does with it? Scrydon answers it by making governance part of the runtime. The AI OS keeps you in command — your keys, your perimeter, opt-in for any external model — while DLP, policy-as-code, scoped identity, and a complete audit trail govern every action. The same controls that keep agents safe also produce the evidence you need for the regulators and frameworks you answer to.

Where it fits

AI Governance in the Scrydon platform

One integrated, sovereign architecture. Here is where AI Governance sits — highlighted against the full stack it works with.

Human + AI Orchestration

New Customer
Sync CRM
Verify ID
In Progress
Create Profile
Check Rules
Approve
Completed
Provision
Welcome

The AI OS for Humans & AI Agents to enable your processes

Insights

In [1]:
import pandas as pd
df.plot.bar()

Cortex

Conversational Intelligence: Natural language interface that seamlessly connects your ontology, multi-modal data, and sovereign workflows.
Build a supply chain disruption workflow
Linked Supplier. Ready for execution.

Cognitive Enterprise

Customer
Account
Order
Product
Contract
LineItem
Supplier
Billing
holds
placed
of

Link your processes, knowledge & data to ontologies.

Personal Productivity

C

Lakehouse

Unified storage, structured compute, and secure multi-modal data processing.

TablesKnowledge

AI Agents

Autonomous operatives with specialised skills executing tasks across systems.

AI Workflows

Integrations

Sovereign pipelines, federated APIs, and seamless connector meshes.

Data Spaces

Secure domain federation, trusted data sharing, and cross-boundary intelligence.

Sovereign Foundations

Deploy from Air-gapped to Hyperscale
GOVERNANCE IN THE RUNTIME

Controls built in, not bolted on

Every request crosses multiple gates before it reaches a service, and the platform ships fail-closed: invalid or unauthorised requests are denied by default. Governance is enforced on every model call, agent action, and workflow step — consistently across the app and data planes.

  • Data loss prevention — A DLP guardrails engine scans outputs for PII and hallucination and enforces regex / JSON validation gates before anything leaves.

  • Policy-as-code — A single policy decision point (Rego) authorises every action consistently across the app- and data-planes.

  • Scoped identity & access — A three-tier model — organisation roles, workspace membership, and team grants — gives every user and agent least-privilege access.

  • Immutable audit — Every action is logged immutably and queryably, with full actor and IP context, redacting sensitive fields.

  • Your keys — LOCAL, BYOK, or HYOK key strategies let you decide where encryption keys live; credentials are encrypted at rest and redacted in logs.

  • Fail-closed by default — If a request is invalid or unauthorised, it is denied rather than allowed — safe defaults everywhere.

YOU STAY IN CONTROL

Your data, your models, your call

Governance should mean control, not just paperwork. The AI OS keeps the organisation in command of exactly how AI touches its data: external AI vendors are reached only when you explicitly opt in, sensitive content is screened by DLP before it can leave, and you can keep humans in the loop wherever a decision warrants it — deterministic by default, agentic only where it earns its place. Everything runs inside your perimeter with keys you hold.

  • Opt-in external AI — Frontier or third-party models are called only when you choose; by default nothing leaves your perimeter.

  • Human-in-the-loop — Insert approvals and human checkpoints into workflows wherever oversight is required.

  • Document clearance — Clearance and classification controls govern which data and documents AI can use.

  • Sovereign by default — Runs from air-gapped on-premises to cloud, so control never depends on where you deploy.

EVIDENCE FOR THE FRAMEWORKS YOU ANSWER TO

Compliance you can demonstrate

The platform maps its controls to the standards regulated organisations operate under — the EU AI Act, ISO 27001, ISO 42001, GDPR, SOC 2, SecNumCloud, NIST, the Cyber Resilience Act, and AIUC-1 — and produces framework evidence packs from the same audit and policy machinery that governs day-to-day operation. Compliance becomes a by-product of how the system runs, not a separate, manual exercise.

FAQ

Frequently asked questions

What is AI governance and what does the platform provide?+
AI governance is how an organisation stays in control of how AI uses its data and acts on its systems. The AI OS builds it into the runtime: data loss prevention, policy-as-code authorisation, scoped identity and access, immutable audit, your own encryption keys, and opt-in external AI — all enforced fail-closed on every model call, agent action, and workflow step.
How does the platform help with EU AI Act compliance?+
The platform maps its controls to the EU AI Act (alongside ISO 42001, GDPR, ISO 27001, SOC 2, and SecNumCloud) and generates framework evidence packs from its built-in audit and policy machinery. That gives you traceability, human oversight, data governance, and risk controls aligned with the Act's expectations. It supports your compliance programme — formal conformity remains your organisation's responsibility — rather than being a certification in itself.
What is the DLP (data loss prevention) capability?+
A DLP guardrails engine screens AI outputs before they leave the platform: it detects PII, checks for hallucination, and validates responses against regex / JSON gates. Combined with document clearance and classification, it stops sensitive data from leaking through prompts or agent actions.
How do I stay in control of my data and which AI is used?+
You hold the keys (LOCAL, BYOK, or HYOK), everything runs inside your own perimeter, and external AI vendors are reached only when you explicitly opt in — by default nothing leaves. DLP screens what AI can output, document clearance governs what it can use, and you can require human approval wherever a decision warrants it. Control stays with you, not the platform or a cloud operator.
How are AI agents governed?+
Every agent runs with its own scoped identity under a three-tier permission model (organisation roles, workspace membership, team grants), and a single policy decision point authorises each action across the app- and data-planes. All activity is captured in an immutable, queryable audit log with actor and IP context, so every agent action is attributable and reviewable.
Which compliance frameworks does it map to?+
Controls are mapped to ISO 27001, ISO 42001, the EU AI Act, GDPR, SOC 2, SecNumCloud, NIST, the Cyber Resilience Act (CRA), and AIUC-1, with evidence packs generated from the platform's audit and policy controls to support your own certification and assurance processes.
Is there a complete audit trail?+
Yes. Every action across users, agents, and workflows is logged in an immutable, queryable audit trail with full actor and IP context, sensitive fields redacted, and defined retention — the attributable record regulated industries require.
Can we keep humans in the loop?+
Yes. The platform is deterministic by default and agentic only where it earns its place, and you can insert approvals and human checkpoints anywhere in a workflow. That keeps high-stakes decisions under human oversight while still automating the routine steps around them.
Explore

Explore the platform

Email us

Prefer to write? Email hello [at] scrydon.com and we will get back to you.

Email hello [at] scrydon.com

Partners

Building the future of Data & AI together with leading innovators. Learn more .

Delaware logo