For years, cybersecurity has been an arms race. Email spam led to the development of filters, malware drove the creation of antivirus tools, and phishing resulted in the adoption of multifactor authentication. Each of these measures was eventually rendered ineffective by new attack techniques. Today, artificial intelligence is poised to disrupt our most foundational security barrier: identity. The same technology that helps detect anomalies and prevent fraud is also capable of creating synthetic users, realistic deepfakes, and convincing digital personas that can deceive even the most advanced identity systems. The Limits of Binary Identity Most enterprise identity systems operate in…
Mike Engle
Mike Engle
Mike Engle is co-founder and CSO at 1Kosmos. He was formerly head of information security at Lehman Brothers and co-founder of Bastille Networks. Mike is a recognized expert in information security, business development, and product design/development.
Authentication has always been the front door to digital systems, but most organizations still treat it like a commodity function. More like a lock from the local hardware store than a high-security system protecting sensitive enterprise assets. That’s why we often hear talk about “multi-factor authentication” (MFA) as though the phrase itself conveys strength. If one factor is good, then two must be better, and three better still. The truth is, more factors do not necessarily equal greater protection. To properly assess authentication controls, security professionals need to peel back the onion, examining not just how many factors a system…