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SAFE’s AI
Summary Agent

Precise AI-powered summaries
to drive actions.

Without SAFE TPRM

5-8 hours
per vendor

With SAFE TPRM

< 10 seconds
per vendor

The Challenge

Data collection from different sources makes the process slow

Traditional tools don’t connect findings to business context

Manual approaches can lead to missing critical risk gaps

What Does the AI Summary
Agent Do?

It provides a human-readable summary of risk posture and provides actionable insights by gathering data from:

Outside-in scans

Control metrics

Loss magnitude

Likelihood

Open vendor queries

Questionnaire responses

How it Works

Applies industry-benchmark risk thresholds ane reviews aggregate risk

Uses advanced AI analysis to identify the most critical gaps

Summarizes risk posture and acceptance status of vendor risk

Highlights control improvement areas with recommended actions

Indicates the need for further data collection and other action items

Drafts communication to inform business owners of risk acceptance

"SAFE’s AI-Summary pulls everything together - scores, gaps, recommendations - into a clear, business-ready summary. It has helped us make faster decisions."

- TPRM Analyst, Leading U.S. Telecommunications Company

FAQ

How does the AI Summary Agent help with risk decision-making?

It translates technical risk inputs into business-friendly outputs, including likelihood, loss magnitude, and acceptance recommendations. It also highlights critical control failures, missed evidence, and suggested actions—helping stakeholders make faster, more informed decisions.

Can The AI Summary Agent generate communication for business owners?

Yes. The agent can automatically draft risk acceptance summaries and communication templates that notify business owners about a vendor’s risk level, required actions, and recommendations for remediation or further data collection.

How is this better than traditional summary reports?

Unlike static reports from legacy tools, the AI Summary Agent provides dynamic, contextual insights, tracks what’s missing or weak, and summarizes only the most relevant findings—eliminating manual effort and improving speed and consistency in TPRM workflows.

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