As deepfakes and AI-generated impersonation become a systemic digital risk, FaceOff Technologies has launched its Segmented Trust Platform, positioning it as a foundational trust layer for environments where digital content can no longer be assumed authentic.
Introduced in December 2025, the platform moves beyond
simple detection by structuring trust into three distinct risk
layers—prevention, investigation, and certification.
FaceOff Verify targets high-volume entry points such as
banking onboarding, enterprise access, and social media logins. Delivered via
API, it performs real-time deepfake detection and liveness verification to
block synthetic identities at scale without adding friction for legitimate
users.
.jpg)
FaceOff Authenticate is built for law enforcement, legal
teams, and investigators. It provides forensic-grade analysis of audio, video,
and image evidence, along with chain-of-custody tracking and court-defensible
reporting—addressing the growing legal impact of synthetic media.
FaceOff Certify shifts the focus from detection to trust
signaling. Designed for governments, news agencies, and content creators, it
enables the issuance of verifiable proof-of-origin credentials, helping restore
confidence in official communications and digital media.
All three products run on FaceOff’s Adaptive Cognito Engine
(ACE), a multimodal system that analyzes behavioral and biometric signals such
as facial micro-expressions, gaze, voice patterns, and rPPG heart-rate data.
The engine claims 99.7% detection accuracy while maintaining a privacy-first,
zero-transfer architecture.
Rather than operating as standalone tools, the platform integrates into existing workflows and major platforms including Zoom, Salesforce, Microsoft Teams, and YouTube—reflecting FaceOff’s view that trust must function as infrastructure, not an add-on.
No comments:
Post a Comment