The cyber pandemic: AI deepfakes and the future of security and identity verification
Aaron Painter (CEO of Nametag Inc: "Security and risk management pros have a lot keeping them up at night. The era of AI deepfakes is fully upon us, and unfortunately, today’s identity verification and security methods won’t survive."
Attackers have seen huge success using AI deepfakes for injection and presentation attacks – which means we’ll only see more of them. Advanced technology can help prevent (not just detect them).
Security and risk management pros have a lot keeping them up at night. The era of AI deepfakes is fully upon us, and unfortunately, today’s identity verification and security methods won’t survive. In fact, Gartner estimates that by 2026, nearly one-third of enterprises will consider identity verification and authentication solutions unreliable due to AI-generated deepfakes. Of all the threats IT organizations face, an injection attack that leverages AI-generated deepfakes is the most dangerous. Recent stories show that deepfake injection attacks are capable of defeating popular Know Your Customer (KYC) systems – and with a 200% rise in injection attacks last year and no way to stop them, CIOs and CISOs must develop a strategy for preventing attacks that use AI-generated deepfakes.
First, you’ll need to understand exactly how bad actors use AI deepfakes to attack your systems. Then, you can develop a strategy that integrates advanced technologies to help you prevent (not just detect) them.
The digital injection attack
A digital injection attack is when someone “injects” fake data, including AI-generated documents, photos, and biometrics images, into the stream of information received by an identity verification (IDV) platform. Bad actors use virtual cameras, emulators, and other tools to circumvent cameras, microphones, or fingerprint sensors and fool systems into believing they’ve received true data.
