AI Security

Managed Shadow AI Governance

Continuous monitoring for unsanctioned AI tools as they appear, policy enforcement, exception management, and a monthly refreshed inventory.

  • Continuous Monitoring for new unsanctioned AI tools as they appear, not a one-time scan
  • Monthly Shadow AI inventory refresh and risk re-classification
  • Exception managed Every exception reviewed, approved, denied and logged

The challenge

Sixty-seven percent of employees now use AI tools at work, but only eighteen percent of organizations have a formal AI security policy in place. That gap between adoption and governance is exactly where unsanctioned tools quietly become the largest unmonitored attack surface in the business.

Approach

How the engagement works

01 · Monitor continuously

Telemetry is monitored continuously for new unsanctioned AI tools appearing across the organization.

02 · Enforce and manage exceptions

The acceptable-use policy is enforced, with a formal process to review, approve, deny and log every exception.

03 · Refresh and report

The shadow AI inventory is refreshed monthly with risk re-classification, backed by a monthly governance report.

How it works

From invisible AI tool sprawl to a
governed inventory

What’s included

  • Continuous monitoring for new unsanctioned AI tool appearances
  • Monthly shadow AI tool inventory refresh and risk re-classification
  • Acceptable-use policy enforcement and version control
  • Exception management process, review, approve, deny and log
  • Sensitive-data egress alerting to unsanctioned AI tools
  • Monthly Shadow AI governance report

Outcomes

  • New unsanctioned AI tools caught as they appear, not discovered months later
  • A living inventory instead of a one-time snapshot that goes stale
  • Every exception tracked, not handled informally over email

Why Gruve

A one-time shadow AI discovery goes stale the next month
Gruve keeps the inventory current and the policy enforced

Unsanctioned AI tools do not stop appearing after the first discovery exercise. This service turns that one-time inventory into an ongoing programme, catching new tools as they appear, enforcing the policy already in place, and refreshing the risk picture every month instead of once a year.

Gruve Differentiator

Gruve Managed Shadow AI Governance
One-Time Discovery Exercise
Business Requirements

Organizations that want shadow AI monitored continuously

Organizations that ran a discovery exercise once and stopped there

Service Model

Continuous monitoring and policy enforcement operated end-to-end

A point-in-time inventory that ages the moment it is delivered

Technology & Expertise

New unsanctioned tools flagged as they appear

New tools go unnoticed until the next manual review

Approach & Capabilities

Sensitive-data egress alerting to unsanctioned tools

No visibility into what data is leaving through unsanctioned tools

Governance & Assurance

Exception management with a formal review and approval process

Exceptions handled informally, if at all

AI Security

Often deployed together

Managed AI Runtime Security

Real-time monitoring and blocking of prompt injection, jailbreaks and sensitive output at the inference layer.

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Managed Shadow AI Governance

Continuous monitoring for unsanctioned AI tools appearing across the organization, with policy enforcement and exception management.

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AI Governance & Compliance Programme

Operation of a maintained AI governance register and control mapping against your chosen frameworks.

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Testimonials

Shadow AI, made visible
not a blind spot growing quietly

The partnership with Gruve brings significant value to customers by combining thought leadership, delivery, and execution of services. Leveraging AI/ML and Cloud tools in delivering software integrations and services can significantly ease transitions for large enterprise organizations.

Book your assessment

Start with a clear acceptable-use policy before continuous monitoring begins

Shadow AI is the new shadow IT. Get visibility and control with managed governance today.

  • Acceptable-use policy confirmed or authored upfront
  • Initial shadow AI tool inventory reviewed before monitoring begins
  • Exception management process agreed from day one

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