SLYD
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The 5-step pipeline.

How energy turns into a deployed, financed, offtake-matched cluster, and what SLYD does at every step.

How SLYD works →
Hardware

New and recovered GPU systems.

NVIDIA and AMD systems through documented manufacturer and qualified channel supply, with financing and deployment coordinated on the same platform.

Explore GPU hardware →
Marketplace

Compute, hardware, and power in one book.

Browse available GPU capacity by accelerator, configuration, region, and price, or bring supply to qualified demand.

Open marketplace →
Pre-qualify

Start with an indicative structure.

Tell us deal size, structure, and offtake. Any range is preliminary and subject to underwriting, diligence, and documentation.

Open Configure →
From the blog

GPU market trends and deployment playbooks.

Infrastructure best practices, hardware comparisons, and industry analysis from the SLYD team.

Read the blog →

Library

Governance & audit · /platform/governance

AI governance without the overhead.

Policy enforcement, audit trails, and compliance reporting that run automatically. Your AI deployments stay governed without a compliance team watching every action.

Automated policy enforcement

Define a policy once. It applies at execution time, everywhere, without anyone policing it.

Complete audit trails

Every administrative action captured with full context — immutable and tamper-evident.

One-click reports

Six report types compile themselves and export to CSV, PDF, SIEM, or the API.

Built-in compliance

Evidence collection, periodic reviews, and separation of duties run on a schedule.

Enterprise AI fails when governance becomes a bottleneck. Teams want to experiment and deploy. Compliance teams need control and visibility. These goals seem opposed, but they don't have to be.

SLYD's governance layer operates in the background. Policies enforce automatically. Audit trails generate without manual logging. Compliance reports compile themselves. Your teams move fast. Your compliance posture stays strong.

Governance that enables innovation instead of blocking it.

Policy enforcement

Automated policy application

Define policies once. SLYD enforces them everywhere.

Policy Enforcement
All production models must have audit logging enabled Deployment blocked if logging not configured
PHI workloads require encryption at rest and in transit Compliance verified before data access granted
GPU instances spin down after 2 hours of idle time Automatic resource reclamation
Only approved models can be deployed to production Model registry gating
Access to financial data requires MFA Authentication challenge on access attempt

Policy inheritance

Policies cascade through your organizational structure. Higher-level policies cannot be overridden at lower levels. Exceptions require explicit approval workflows.

Organization policy e.g., MFA required
01
Team policy e.g., encryption standards
02
Project policy e.g., approved models list
03
Workload policy e.g., resource limits
04

Real-time enforcement

Policies are enforced at execution time. All decisions are logged for audit.

1
User requests action
2
Evaluate against policies
3
Compliant? Execute or block
4
Log decision for audit
Audit logging

Complete action history

Every administrative action captured with full context.

User actions

  • Login/logout events
  • Permission changes
  • Resource creation/modification/deletion
  • Model deployments
  • Configuration changes

System actions

  • Automatic scaling events
  • Policy enforcement decisions
  • Health check results
  • Scheduled task execution

Data access

  • Query execution (metadata only)
  • Export events
  • API calls
LOG STRUCTURE JSON
{
  "timestamp": "2026-01-19T14:32:15Z",
  "actor": {
    "user_id": "user_abc123",
    "email": "sarah@acme.com",
    "auth_method": "sso_okta"
  },
  "action": "deploy_model",
  "resource": {
    "type": "model_deployment",
    "id": "deployment_xyz789",
    "name": "legal-doc-analyzer"
  },
  "details": {
    "model": "llama-3.1-70b",
    "target_cluster": "prod-cluster-01",
    "policies_applied": [
      "data-encryption",
      "audit-required"
    ]
  },
  "result": "success",
  "source_ip": "10.0.1.50"
}

Immutable

Logs cannot be modified after creation.

Tamper-evident

Cryptographic hashing detects any alteration.

Retention

Configurable retention periods (default: 7 years).

Availability

High-availability log infrastructure.

Compliance reporting

Automated report generation

Generate compliance reports with one click.

Report Frequency Covers
Access review Monthly/Quarterly Who has access to what
Activity audit On-demand All actions in date range
Policy compliance Weekly Current compliance posture
Incident summary On-demand Security events and responses
Change log Weekly Configuration modifications
Resource inventory Monthly Complete infrastructure state

Export formats

Take governance data wherever it needs to go.

CSV/Excel

For manual review and analysis.

PDF

For formal documentation.

SIEM integration

Real-time streaming to Splunk, Datadog, etc.

API access

Custom reporting and dashboards.

Evidence collection

Automatically collect evidence for audit requirements:

Configuration snapshots Access log extracts Policy enforcement history Change management documentation User attestation records
Governance workflows

Approval & exception management

Configure approval requirements for sensitive actions.

Approval workflows

Trigger

Deploy model to production environment

Requirements
  1. Security team approval (within 24 hours)
  2. Model validation complete
  3. Risk assessment documented
Escalation

Auto-approve if no response in 48 hours

Exception management

When policies need temporary exceptions:

1User requests exception with justification
2Designated approver reviews request
3Exception granted with time limit and scope
4All exception activity logged separately
5Exception expires automatically

Periodic reviews

Schedule recurring governance reviews:

Quarterly

Access reviews

Managers certify team permissions.

Annual

Policy reviews

Stakeholders validate policy effectiveness.

Monthly

Compliance checks

Automated gap identification.

Role-based governance

Governance roles

Define who can do what in your governance framework.

Role Capabilities
Compliance admin Create policies, generate reports, manage blueprints
Policy owner Edit policies within assigned scope
Auditor Read-only access to all audit logs and reports
Approver Approve/deny workflow requests
Reviewer Participate in periodic reviews

Separation of duties

Enforce controls that prevent conflicts of interest:

Users cannot approve their own requests
Auditors cannot modify audit logs
Compliance admins cannot deploy workloads (and vice versa)
Changes require approval from someone other than requester
Integration points

Connect to your stack

Integrate governance data with your existing tools.

SIEM integration

Stream audit events to your security operations:

Splunk Datadog Elastic Security Microsoft Sentinel Sumo Logic Custom webhooks

GRC platforms

Export compliance data to governance tools:

ServiceNow GRC OneTrust LogicGate Hyperproof Custom API integrations

Identity providers

Sync governance with identity management:

Okta Azure AD Ping Identity OneLogin Custom SAML/OIDC
Frequently asked questions

Governance questions, answered.

How policy enforcement, audit logging, and compliance reporting actually work.

How does SLYD enforce AI governance policies?

Policies are defined once and enforced automatically at execution time. When a user requests an action, SLYD evaluates the request against applicable policies, then executes or blocks it, and logs the decision for audit. Deployment can be blocked outright — for example, a production model without audit logging enabled never ships.

How does policy inheritance work in SLYD?

Policies cascade through your organizational structure: organization, team, project, then workload. Higher-level policies cannot be overridden at lower levels, so an organization-wide rule like mandatory MFA applies everywhere beneath it. Separation-of-duties controls prevent conflicts — users cannot approve their own requests, and auditors cannot modify audit logs.

What does the SLYD audit trail capture?

Every administrative action with full context: user actions such as logins, permission changes, deployments, and configuration changes; system actions such as scaling events and policy enforcement decisions; and data-access events like exports and API calls. Logs are immutable, tamper-evident through cryptographic hashing, and retained for a configurable period defaulting to seven years.

What compliance reports can SLYD generate?

Six report types with one click: access reviews, activity audits, policy compliance, incident summaries, change logs, and resource inventories. Reports export to CSV or Excel for analysis, PDF for formal documentation, real-time SIEM streaming to tools like Splunk and Datadog, or the API for custom dashboards.

How are policy exceptions handled?

A user requests an exception with a justification, a designated approver reviews it, and the exception is granted with an explicit time limit and scope. All exception activity is logged separately from normal operations, and the exception expires automatically — no standing carve-outs that quietly outlive their purpose.

Ready to govern AI without governing speed?

See how SLYD's governance layer enables compliant innovation. We'll demonstrate policy enforcement, audit capabilities, and compliance reporting specific to your industry.

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