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Eliminate Shadow AI

Unapproved AI models and training data create hidden risk. Manifest AI Risk gives organizations visibility, control, and governance over Shadow AI before it becomes a compliance or security problem.

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AI Policy Frameworks

The Greatest AI Risk is the One You Can’t See

Shadow AI refers to AI models and datasets adopted without oversight from security, compliance, or IT. From rogue model deployments to unknown training data, Shadow AI introduces risks that include:
  • Unknown data flows into third-party AI tools
  • Exposure of sensitive or regulated data
  • Compliance violations under emerging AI regulations
  • No visibility into model behavior or lineage
  • Inability to respond to incidents, breaches, or audits
Without visibility, organizations cannot govern AI or control its risk.

Why Shadow AI Matters

Protect Data

Prevent sensitive or regulated data from being sent to unapproved AI tools.

Avoid Compliance Failures

Reduce legal and regulatory exposure from unauthorized AI adoption.

Reduce Ephemeral AI

Gain visibility into all AI assets, including those outside sanctioned platforms.

Strengthen Governance

Apply AI policies consistently across teams, tools, and deployments.

Shadow AI in the Real World

A global enterprise discovered that a developer secretly downloaded DeepSeek, fine-tuned it with company data, and deployed it to pass compliance checks. All outside approved AI workflows. The model had no audit trail, no documented lineage, and no security review, creating serious compliance and data exposure risks.

With Manifest AI Risk, the organization detected the unauthorized model, flagged the policy violation, and enforced corrective action. Continuous monitoring now prevents Shadow AI from re-entering the environment.

How Manifest Helps You Eliminate Shadow AI

Manifest AI Risk helps organizations bring Shadow AI into the light by:

  • Discovering AI Assets across cloud, endpoints, and SaaS
  • Identifying Shadow AI tools and models in use across teams
  • Documenting datasets, licenses, and model usage
  • Enforcing AI policies and escalating violations
  • Continuously monitoring AI sprawl to prevent re-emergence
With Manifest, organizations move from reactive discovery to proactive AI governance.
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FAQs

How do regulations influence modern TPRM?

FDA, DoD, and automotive requirements are pushing SBOM-driven transparency upstream. Manifest helps organizations comply and compete.

How does Manifest differ from traditional TPRM platforms?

Traditional tools evaluate the vendor. Manifest evaluates the software itself and delivers evidence, not opinions.

How does Manifest modernize TPRM?

Manifest provides data-driven verification using SBOMs, binary analysis, and continuous monitoring.

Why are TPRM questionnaires alone insufficient?

They are self-reported, manual, and reactive. They don't reveal the real risk inside the product.

What is modern third-party risk management?

Modern third-party risk management (TPRM) is a product-centric approach that verifies what is inside third-party software, not just what a vendor claims on a questionnaire.

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