NIST, recognised as the most prestigious global evaluation and standardisation body for biometric technologies, hosted this recent evaluation. Our presentation attack detection systems underwent rigorous scrutiny, achieving exceptional results that position us among the elite in anti-spoofing systems.
Recent NIST results support Facephi’s leadership in facial biometric technology
In sectors like fintech and banking, security is paramount, necessitating a high-security profile. At Facephi, our expertise in this area is evident from the recent NIST FATE Report. The report evaluated 81 passive facial presentation attack detection algorithms (PAD), and our solution stood out, securing a leading position in both accuracy and usability. We achieved the top rank (Rank 1) as the most reliable algorithm for detecting Photo Print/Replay Attack types, with an error rate of less than 0.2% (*).
Our ability to exceed the established standards has allowed us to stand out in one of the most recognized evaluations worldwide (NIST) and, in addition, with a leading position against the main competitors.
Facephi raises the bar in facial recognition
The results achieved support our leadership position and our dedication to providing solutions that redefine security and efficiency and exceed demanding market expectations.
This achievement is not only a testament to our commitment to innovation and excellence, but also marks a milestone in Facephi’s ongoing evolution.
(*) The metric derived from the NIST report is defined as BPCER @ APCER = 0.01. This represents the error rate for genuine users (Bona Fide) at the security threshold where only 1% of Type 8 attacks are not successfully repelled. The value 0.01 is utilised because NIST regards it as a highly secure benchmark. Therefore, BPCER@APCER=0.01 = 0.002 indicates that at this high security threshold, the error rate for genuine (Bona Fide) users is minimal, amounting to just 0.2%
