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Data Centers Turn to Facial Authentication to Close the Tailgating Gap

More than half of U.S. hyperscale data center operators have adopted Alcatraz AI’s facial authentication platform, the Rock, to secure their facilities. As AI infrastructure investments surge, these companies are moving away from legacy badge-based systems to combat "tailgating," an unauthorized entry method that remains largely misunderstood by the public.

Data Centers Turn to Facial Authentication to Close the Tailgating Gap
Photo: Bio & News

The shift toward advanced physical security is driven by the massive financial risk associated with data breaches, which average over $10 million per incident in the United States. While traditional badge and key-card readers verify entry, they fail to detect when an unauthorized person follows a legitimate employee through a secured door. Alcatraz AI, which raised a $50 million Series B in April 2026, has positioned its technology as a necessary upgrade for environments where network security is no longer sufficient to protect critical assets.

Unlike traditional biometric systems that store sensitive biological templates, the Rock platform authenticates users at walking speed while maintaining complete anonymity. According to CEO Tina D'Agostin, the system integrates with existing infrastructure to make access points intelligent without compromising privacy. Recent high-profile breaches at major institutions underscore the vulnerability of relying on 30-year-old badge technology, pushing data center operators to prioritize real-time tailgating detection over legacy, binary access controls.

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