Facial recognition not an effective enterprise security measure: Bitglass report

September 23, 2017 - 

Bitglass has released its “Data Games: Security Blind Spots According to Experts report” in which hackers rated facial recognition as one of the least effective enterprise security measures six times more often than fingerprint authentication.

The finding is an intriguing insight in light of the new iPhone X’s migration to face-recognition authentication feature.

Bitglass’ new report features survey insights from 129 White Hat and Black Hat hackers that attended the Black Hat 2017 national cybersecurity conference.

Hackers emphasized that the three least effective enterprise security measures are password protection (33 percent), facial recognition (19 percent) and access controls.

The report found that 55 percent of respondents identified phishing as the best data exfiltration strategy, as human error and ignorance will always be exploitable.

Meanwhile, malware and ransomware ranked second at nearly 27 percent, which is in line with recent cyberattacks.

“Phishing and malware are threats made all the more potent by cloud adoption and the ease with which employees can share corporate data,” said Mike Schuricht, VP of product management at Bitglass. “Many security technologies fail to address IT’s largest blind spots — unmanaged devices and anomalous access.”

Hackers identified that the top five data security blind spots are unmanaged devices (61 percent), not-up-to-date systems, applications and programs (55 percent), mobile devices (36 percent), data at rest in the cloud (26 percent), and traditional on-premises security (20 percent).

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About Justin Lee

Justin Lee has been a contributor with Biometric Update since 2014. Previously, he was a staff writer for web hosting magazine and website, theWHIR. For more than a decade, Justin has written for various publications on issues relating to technology, arts and culture, and entertainment. Follow him on Twitter @BiometricJustin.