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Transparency & Trust

AI Model Cards

Detailed transparency documentation for our assistive AI systems. Designed for accountability, mapped to DHS grant requirements, and built with human oversight at the core.

Entity Matching Assistant

Intended Use

Assist reviewers by clustering likely matches across sanctions sources

Inputs

Visitor name and context signals (e.g., aliases, locale)

Outputs

Match candidates with similarity signals, not determinations

Oversight

Human-in-the-loop adjudication required

Limitations

Ambiguous names; transliteration variance

Risk Summary Assistant

Intended Use

Summarize relevant risk context for reviewer attention

Inputs

Candidate matches and associated metadata

Outputs

Short risk summaries highlighting key factors

Oversight

Human approval required; summaries are advisory only

Limitations

May omit non-critical details; relies on source quality

ID Vision Parser (Optional)

Intended Use

Extract text from ID images when enabled by org policy

Inputs

ID photo captured with consent

Outputs

Parsed text fields for faster form fill

Oversight

Human validation; disabled by default

Limitations

Image quality, glare, occlusion

These model cards are living documents, updated as our systems evolve. Last updated: March 2026

ITAR Visitor Management System | SecurePoint USA