Trust & Compliance Layer

The control plane for secure, compliant, and auditable AI operations—built for public sector rigor.

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What It Is

The Trust & Compliance Layer is where LaplaceX enforces policy and proves accountability. It manages identity and access, guards how data is used by models, redacts sensitive fields, and records every decision—so teams can move fast without breaking rules.

Why It Matters

Policy-by-Design

Guardrails before any action or external call—policies are enforced at the system level, not left to human discretion.

Least-Privilege Access

RBAC/ABAC, row/column filters, purpose-bound tokens—users see only what they need for their specific role and context.

Proof, Not Promises

End-to-end audit trail with human override and justification—every decision is traceable and explainable.

How It Works

1

Identity

SAML/OIDC authentication with SSO integration

2

Contextual Access

RBAC/ABAC with dynamic permissions

3

Policy Engine

Allow/deny decisions with clear reasoning

4

Data Protection

PII redaction, hashing, and masking

5

Model Governance

Tool/model controls with rate limits

6

Audit & Override

Signed logs, approvals, and replay

Key Capabilities

SSO (SAML/OIDC), SCIM provisioning

RBAC/ABAC + row/column-level security

Data residency selection (UK/EU/Middle East)

PII/PHI detection & redaction (regex + ML)

Policy engine with custom rules

Guarded actions w/ approvals & SLAs

Decision traceability (inputs, outputs, context)

Immutable audit logs, SIEM export

Key management via KMS/HSM

Model catalog & safety notes

Guardrails Simulator

Experience policy enforcement in action with our interactive compliance demo

Policy Evaluation Settings

Policy Verdict
Not Evaluated
Run evaluation to see policy decision
Audit Log (Live Demo)
09:00
m.ali
share: incidents summary
allowed
auto-redact applied
09:12
a.lee
generate: KPI memo
allowed
threshold met
09:28
j.smith
query: citizen complaints
blocked
after hours access denied
09:35
r.jones
export: traffic patterns
allowed
local processing only
All actions captured with who/when/why for full auditability

Compliance Mapping

Designed to support compliance frameworks and standards

GDPR / UK DPA

  • • DPIA assistance and templates
  • • Data subject request helpers
  • • Lawful basis tagging and tracking
  • • Automated consent management

ISO 27001 / 27018

  • • Access controls alignment
  • • Cryptographic controls
  • • Security logging and monitoring
  • • Incident management processes

SOC 2

  • • Security principle alignment
  • • Availability monitoring
  • • Processing integrity controls
  • • Confidentiality safeguards

NIST CSF

  • • Identify: Asset and risk management
  • • Protect: Access controls and training
  • • Detect: Anomaly and event detection
  • • Respond: Response planning and communications
  • • Recover: Recovery planning and improvements

Security Architecture

Built with security-first principles and zero-trust architecture to protect sensitive city data and operations.

Control plane separate from data plane
Least-privilege service roles
Per-tenant encryption keys
Private networking with VPC peering
Egress allow-lists and monitoring
Optional on-premises deployment
Security Layers
Application Layer
RBAC, Policy Engine, Audit Logs
API Gateway
Authentication, Rate Limiting, WAF
Infrastructure
Encryption, Network Security, HSM

Proven Outcomes

< 1 min
Policy verdicts, consistently
Zero
Unsanctioned data egress events
Days → Minutes
Audit prep time reduction

API Integration

Integrate policy enforcement and data protection into your workflows

Policy Decision API
// POST /api/policy/check
{
  "subject": {
    "id": "u-123",
    "roles": ["ops"],
    "dept": "mobility"
  },
  "action": "share",
  "resource": {
    "type": "plate_read",
    "fields": ["plate", "time", "location"]
  },
  "context": {
    "region": "EU",
    "externalModel": true,
    "containsPII": true
  }
}

// Response
{
  "allow": false,
  "reasons": [
    "No PII to external models",
    "EU-only processing"
  ],
  "redactions": ["plate"]
}
Redaction Service API
// POST /api/redact
{
  "text": "Plate AB12CDE entered at 10:41",
  "rules": ["pii:license_plate"]
}

// Response
{
  "text": "Plate ███████ entered at 10:41",
  "redactions": [
    {
      "type": "license_plate",
      "start": 6,
      "end": 13,
      "original": "AB12CDE"
    }
  ],
  "confidence": 0.98
}

// Audit log entry created automatically

Frequently Asked Questions

Do you block low-confidence answers?

Yes—policies can require confidence thresholds and citations. Any AI output below the defined threshold is automatically blocked, with options for human review and override when justified.

Who can override policy decisions?

Only users with specific approval roles can override blocked actions. Every override requires a written justification and is logged with full context, creating an immutable audit trail for compliance reviews.

What deployment options are available?

Cloud deployment with data residency controls, VPC peering for hybrid setups, or fully on-premises installation. All options maintain the same security standards and policy enforcement capabilities.

Bring Policy-Grade Trust to AI Operations

Ensure every AI decision is secure, compliant, and auditable. Experience the confidence that comes with built-in governance and transparency.

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