EBP Integra — Enterprise Technology, Digital Trust & Strategic Protectionebp-integra.com
Digital Trust Platforms • DT-02

IntegraGuard — AI Usage Control Plane

See, control and evidence how AI is actually being used.

Scope

What the engagement covers.

Unmanaged AI use is now the largest data exfiltration channel in many organizations. IntegraGuard moves the organization from no visibility, through enforcement, to audit evidence.

Included capabilities

  • Shadow AI discovery from telemetry and network log sources
  • Browser enforcement with prompt and content inspection, mask, block or justify
  • Governed LLM gateway with redaction, audit, rate limit and budget control
  • AI asset and data posture inventory with risk scoring
  • Multi-tenant policy console with role-based access, alerting and audit
  • SIEM and API integration so events land in the existing security stack

Outputs and deliverables

  • AI tool usage inventory with risk classification
  • Enforcement policy configuration
  • Governed gateway deployment with redaction rules
  • Audit evidence and executive reporting
Workflow

How it is delivered, step by step.

Each step has an owner, an entry condition and an artefact that has to exist before the next step begins.

01DiscoverInventory AI tool usage across the organization from existing telemetry.
02ClassifyRisk-rate tools and usage patterns against policy.
03EnforceBrowser and gateway controls with warn-then-block rollout.
04GovernCentral policy, approval workflow and exception handling.
05EvidenceAudit trail and reporting for regulators and internal audit.
Use cases

Where this is typically applied.

Use case 01

Organizations discovering widespread unsanctioned AI tool use

Use case 02

Regulated firms needing provable control over AI data flows

Use case 03

Enterprises wanting to permit AI use safely rather than ban it

Delivery model

The operating pattern for Digital Trust Platforms.

The same delivery discipline applies across every capability in this line, so combined engagements stay coherent.

Model
Organization, taxonomy, control library and evidence structure.
Connect
Identity, data sources, telemetry and downstream systems.
Configure
Workflows, policies, thresholds, approvals and reporting packs.
Adopt
Role-based onboarding, migration of existing registers and evidence.
Operate
Run the platform, or hand over to the client team with support.

Integration

  • SSO, SAML and SCIM for identity, roles and provisioning.
  • SIEM, ticketing and data platforms for events, issues and reporting.
  • HSM, PKI and certificate management for the cryptographic modules.
  • Device management and OT asset systems for the device operating system.

Engagement approach

Modules can be licensed individually, but the value compounds when they share a taxonomy: an AI usage event, a privacy finding and a cryptographic gap all become risk records in the same register with the same evidence and reporting model.