Deepfakes Are Rewriting the Rules of Biometric Security

Hands hold smartphone which is projecting a transparent digital screen with symbols that says deepfake.

It’s a long-standing truism that biometrics are among the most robust and trustworthy forms of identity verification on the market. The whole premise was that identity is physical, unique, and nearly impossible to replicate. Deepfakes have completely dismantled this assumption.

Today, artificial intelligence can fabricate a convincing face, clone a voice from just a few seconds of audio, manipulate video in real time, and even simulate the subtle micro-expressions and eye movements that make us human. The technology is accessible, cheap, and improving by the week. What once required a nation-state’s resources now fits into browser-based tools and open-source models.

This article explores how deepfakes are transforming our understanding of biometrics and what this means for organizations operating under major federal and industry security frameworks. 

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CMMC Phase 2 Arrives in 2026: How to Prepare

Abstract digital clouds on a glowing blue background

With the final rule for CMMC now in place and the phased rollout underway, organizations that handle FCI or CUI are entering a period where preparation has moved from the theoretical to a practical necessity.

This article breaks down what preparation looks like in 2026: the decisions organizations are making, the challenges they face, the timelines that matter, and the strategic opportunities available for those who treat CMMC as more than a compliance checkbox.

 

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What Is Autonomous Malware?

Glowing Neon malware sign on a digital projection background.

We’re reaching the end of 2025, and looking ahead to 2026, most experts are discussing the latest threats that will shape the year ahead. This year, we’re seeing a new, but not unexpected, shift to autonomous threats driven by state-sponsored actors and AI. 

With that in mind, a new generation of threats, broadly known as autonomous malware, is beginning to reshape how organizations think about cyber risk, detection, and response. These threats don’t behave like the malware that defenders have spent decades learning to identify, and that’s got experts preparing for the new threat landscape. 

This article explains what autonomous malware is, why it matters now, and what experts should watch as these threats evolve.

 

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