Trustworthy and Responsible AI

Quick Summary

SecurePoint USA uses AI to assist with entity matching and risk summarization during visitor screening. Humans make all final access decisions, and every action is logged in immutable audit logs. Our AI practices align with DHS trustworthy AI principles, NIST AI RMF 1.0, and OMB M-24-10 safeguards.

We use AI to assist, not replace. Our assistants support entity matching (fuzzy/phonetic), risk summaries, and optional vision parsing of ID text. Final access decisions are human-made, with immutable audit logs (5–7 year retention). Our practices align with DHS principles for safe, secure, trustworthy, human-centered AI; NIST AI RMF (Govern, Map, Measure, Manage); and OMB M-24-10 safeguards for public-impacting AI.

Methods

  • • Entity matching with fuzzy/phonetic search
  • • Risk summarization to highlight context
  • • Optional vision parsing for IDs (opt-in)

Safeguards

  • • Human-in-the-loop adjudication
  • • Immutable audit logs for actions and outcomes
  • • Evaluator thresholds and bias checks
  • • Policy templates for ITAR/EAR and sanctions
Disclaimer: AI outputs are assistive signals, not determinations. Compliance and access decisions are made by authorized personnel.