Speed Up AI Tool Approval Without Added Risk | SAFE
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Approve AI Tools With Confidence

The business is waiting
on your AI tool approvals

Every AI request means gathering evidence from several teams, deciding how deep to review and chasing the vendor for answers. SAFE TPRM captures the right context up front, matches review depth to risk and has AI review the evidence, so safe AI tools reach the business sooner.

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The Problem

What AI tool approval looks like today

  1. Evidence is gathered by hand

    Approvals need input from security, privacy, legal, procurement and the business, collected manually.

  2. Every request is scoped from scratch

    Reviewers decide the right level of diligence themselves, based on AI usage, data access and business context.

  3. Vendors are asked again and again

    Unclear evidence requirements lead to repeated clarification requests to the AI vendor.

  4. Reviews run in separate silos

    Business teams wait while each stakeholder reviews AI risk, contracts, evidence and controls on its own.

AI tool request moving from intake through review to approval with Agentic Workflows in SAFE TPRM

From a stalled queue to risk-based AI approvals

When AI approval is slow and manual

  • Valuable AI capabilities stay blocked while reviews finish.
  • Business teams see security as the obstacle to AI adoption.
  • Growing AI demand piles more work on a constrained security team.
  • Productivity and revenue benefits from AI take longer to arrive.

When AI approval is risk-based

  • Safe AI tools move from request to approval faster.
  • Security becomes the team that enables responsible AI adoption.
  • The same team handles growing AI demand without adding headcount.
  • The business sees the value of AI sooner.
How SAFE Helps

A faster path to a defensible yes

Four capabilities in SAFE TPRM take the manual work out of AI tool approval while material decisions stay with your experts.

Live Activity view of AI tool

Capture the full request at intake

Requesters describe the AI tool they need in plain language or through configurable intake forms.

  • Forms collect business context, data access and intended use.
  • AI checks each submission for missing or inconsistent information and asks the requester before assessment begins.
  • Each assessment is scoped to the request's AI usage, business criticality, data sensitivity and inherent risk.
  • Low-risk requests move quickly, sensitive ones get deeper review, and requesters track status in their own view.
Explore intake and triage
Questionnaire review with flagged gaps for an AI vendor with SAFE TPRM

Let AI review the vendor's evidence

SAFE TPRM pre-answers the questionnaire from the AI vendor's own SOC 2 reports, policies and security documents.

  • Every pre-filled answer carries a citation.
  • AI reviews responses against your guidelines and maps them to controls.
  • Gaps, weak evidence and conflicts between answers, contracts and documents are flagged while the vendor is still responding.
  • Analysts start with a clear list of open questions, and severity, findings and the approval decision stay with your team.
Contract analysis with the AI risk category expanded in SAFE TPRM

Review the contract alongside the risk

AI reviews the AI vendor's contract for strengths and gaps.

  • Review covers security, privacy, legal, operational and AI risk.
  • AI terms reviewed include AI governance, data usage, ownership and model outputs.
  • Legal and security see contract findings next to the assessment results.
  • One shared record informs the approval decision.
Explore contract risk and obligations
Discovery queue with an AI tool found in a procurement system

Bring AI tools in through the front door

SAFE TPRM finds AI tools that teams adopt outside the process, in systems such as ServiceNow, OneTrust and Ironclad.

  • Each discovered tool lands in a discovery queue with its source.
  • Discovered AI tools route into intake and get the same risk-based assessment as every other request.
  • Tools that need no governance can be archived.
Explore shadow third-party discovery
The Proof

Machine-Speed Defense. Measurable Results.

Instacart operationalizes enterprise-scale TPRM while reducing assessment effort.

Retail USA

Read the Full Story

The Challenge

Instacart's TPRM team managed hundreds of vendors through manual processes that slowed assessments and limited visibility. They needed a more automated, risk-based approach to scale the program.

The Results

30+
hours
of analyst work eliminated per assessment
3
weeks
to operationalize TPRM with 600+ vendors
100%
vendors
assessed and monitored with zero added headcount

Related challenges

Challenge

AI tool risk is hard to see and govern

Standard questionnaires miss how AI vendors use your data, train their models and change after approval.
Challenge

Every vendor gets the same review

Static tiers and identical questionnaires spend effort on low-risk vendors and leave too little scrutiny for the ones that matter.
Overview

Approve AI tools with confidence

See how SAFE TPRM helps security teams assess AI vendors and support AI adoption across the business.
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