AI Built for
High-Compliance
Explainable Decisions
Every AI match comes with a clear rationale. We don't hide behind "black boxes" - we show the evidence.
Human-in-the-Loop
AI proposes, Security decides. Our workflows ensure every critical decision is verified by a human actor.
Fully Auditable
Every model interaction and screening result is logged in a complete, timestamped record for CMMC and ITAR audits.
Solving the
False Positive Problem
We move beyond basic string matching. Our engine analyzes visitor profiles, entity lists, and 50% ownership records to provide a clear risk score with documented logic.
Advanced Fuzzy Matching
Phonetic and character-level similarity across international lists.
Identity Resolution
Connecting disparate records into a unified visitor identity.
Natural Language Rationale
Models explain WHY a match was proposed in simple terms.
Analysis Engine Active
Proposed Match Evidence
AI Reasoning Summary
Example: Proposed match is based on high phonetic similarity for name 'ALEXANDER KERIMOV' on the BIS Entity List. Risk elevated due to technical data exposure in Zone 4.
Safety Built-In
We adhere to the highest standards of NIST AI Risk Management Framework.
Hardened Cloud Infrastructure
Your data and model interactions run in access-controlled, encrypted cloud environments with append-only audit logging and least-privilege access. SOC 2 Type II controls mapping is in progress.
Non-Discrimination Bias Audits
Regular auditing of screening algorithms to ensure fairness and adherence to civil rights standards.
The Future of
Industrial Trust
Join the forward-thinking facilities using SecurePoint USA to protect their technical data and automate their lobby operations.