The Human Risk Reckoning: Why security must evolve for an AI-augmented workforce

Security models that were effective a few years ago are now under immense strain because of how rapidly organizations are changing. As we move into 2026, many teams are dealing with a larger and more complex risk landscape.

This is largely driven by rapid artificial intelligence (AI) adoption, increased automation, and the continued shift to cloud and collaboration platforms.

At the same time, attackers are getting more access to phishing as a service (PhaaS) and other tools which make it easier to launch scalable campaigns even for the most non-technical of criminals.

These underlying challenges aren’t new. Issues like inconsistent security ownership, uneven controls across systems, and security being bolted on late in the delivery cycle still show up, only now they tend to surface faster, spread further, and ...