Tech Support : support@biometrica.com

Higher Education · CISO / CIO

The Lightest Security Footprint on Your Network

Your security team wants facial recognition. Your legal team said "BIPA." Safience eliminates the conflict with privacy-by-architecture: zero biometric retention, zero template storage, zero on-premises servers. Each sensor transmits a single encrypted ~30KB JPEG per entry event — not video, not audio.

Zero Template Storage BIPA / FERPA Safe No On-Prem Servers
The Architecture Difference

Your Security Team Wants Facial Recognition. Here Is Why You Can Say Yes to This One.

Every facial recognition proposal that has crossed your desk has had the same problems: massive bandwidth from video streaming, on-premises biometric template databases that create breach liability, IoT devices that store sensitive data and expand your attack surface, and a compliance profile that makes your General Counsel’s head spin.

Safience was designed by people who understand why you said no to every previous proposal. RTIS captures a single still image per entry event — not video, not audio. That image is compared against 56.7M+ fingerprint-verified law enforcement records. Non-matches are purged immediately. No biometric template is ever created. No gallery is ever built. No data is retained on campus.

There is nothing to breach, nothing to subpoena, and nothing to regulate. The compliance question disappears when the regulated data never exists in the first place.

Network architecture visualization representing privacy-by-design campus security
Zero
Biometric Templates Stored

No gallery, no templates, no retained biometric data. Nothing to breach, subpoena, or regulate

56.7M+
Verified Identities

Fingerprint-sourced law enforcement records with complete chain of custody. Not scraped. Not aggregated

~30KB
Per Event

Single encrypted JPEG per entry event. No video streams. Typical 30KB, never exceeding 100KB

SOC 2
Compliant Platform

Cloud-hosted matching infrastructure. Encrypted in transit and at rest. No on-premises servers

Every Other Vendor Creates the Data You Are Trying to Avoid

Most facial recognition systems create a biometric template from each face they capture. They store that template in a gallery. They retain video footage. Some scrape billions of images from social media without consent. Every one of these design choices creates regulatory exposure under BIPA, FERPA, CCPA, and emerging state biometric privacy laws.

Template Storage = Regulated Data

Conventional FR systems build and maintain a biometric template gallery. Under Illinois BIPA, that gallery is regulated biometric data requiring written consent, retention schedules, and deletion policies. On campus, stored templates become breach liability and discovery targets.

Video Retention = FERPA Risk

Systems that record continuous video create footage archives subject to discovery, subpoena, and FERPA classification when reviewed in student conduct proceedings. A stored video feed of every person entering a building is exactly the mass surveillance scenario regulators oppose.

On-Device Storage = Attack Surface

Traditional biometric systems store watchlists, templates, and configuration data on edge devices. A compromised sensor exposes the entire watchlist. Safience sensors store nothing — if someone steals a device, they have hardware with no data on it.

The question is not whether facial recognition works. The question is whether your vendor's architecture can survive a BIPA class action, a FERPA review, or a discovery order. Most cannot.

Privacy-by-Architecture: The Platform Your IT Team Can Approve

Safience delivers identity intelligence without creating regulated biometric data. RTIS compares single still images against 56.7M+ fingerprint-verified law enforcement records. Non-matches are purged immediately. No template gallery. No video archive. No biometric database on campus.

RTIS

Identity Intelligence With Zero Retention

Purpose-built edge sensors capture a single still image per entry event. Compared against UMbRA and institution X-LST watchlists. Non-match images purged at the edge. Human verification through the Rapid Action Center before any alert.

How It Works
RVIS

Every Scan Searches for the Missing

RVIS runs on every RTIS scan and cannot be disabled. The same privacy architecture applies: no biometric retention, no mass surveillance capability, human verification on every match.

Dual Mission
UMbRA

56.7M+ Verified Identities

Fingerprint-sourced law enforcement booking records with complete chain of custody. Not scraped. Not aggregated. Court-ready provenance.

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X-LST

Institution-Controlled Lists

Your lists, your control. Safience has no visibility into list contents during normal operations. Compartmentalized alerts per list.

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From Sensor to Alert in Under 60 Seconds

1

Capture

A single still image is captured per entry event. Not video. Not audio. Sub-100KB payload at the edge.

2

Compare and Purge

The image is compared against UMbRA (56.7M+ verified records). Non-matches are purged immediately. No biometric template is created.

3

Human Verify

Potential matches are reviewed by a trained analyst at the Rapid Action Center before any alert reaches campus personnel.

Traditional Facial Recognition vs. Safience Architecture

Technical Dimension Traditional FR System Safience RTIS/RVIS
Bandwidth Per Camera Megabytes/second (4K video streaming) ~30KB per event; ~3MB/hour at 100 events/hour
On-Device Data Watchlists, templates, configuration Zero persistent data; encrypted, transmit, delete
On-Premises Infrastructure Servers, storage, UPS, HVAC, physical security None; cloud-hosted, SOC 2 compliant
Biometric Template Storage Templates created and stored on premises Zero templates stored anywhere for non-matches
FERPA Exposure Video reviewed in conduct proceedings becomes education record No video recorded; no footage to classify

Bring Your Hardest Technical Questions.

Schedule a Technical Architecture Review. Walk through the data flows, network specifications, encryption architecture, device management model, and compliance alignment with your security and infrastructure teams. We built this platform for the CISOs who said no to every previous facial recognition proposal.