Evolving to human risk management

Security awareness training has been a staple of cybersecurity programs for years. Most organizations run it, most employees complete it, and most compliance boxes get checked. But here's the uncomfortable truth: awareness alone isn't moving the needle. Insider threats, credential misuse, and human error now drive the majority of security incidents, and just 8% of employees are responsible for 80% of them. If training were enough, those numbers would look very different by now.

The gap between knowing and doing is where organizations are most exposed. Employees may understand that clicking suspicious links is risky, but without the right culture, processes, and support systems in place, risky behaviors persist. That's why forward-thinking security leaders are shifting from traditional security awareness toward something more comprehensive: human risk management.

What is human risk management?

Human risk management (HRM) is a holistic approach to cybersecurity that goes beyond teaching people what threats look like. It focuses on identifying, quantifying, managing, and ultimately reducing the risk that human behavior introduces to an organization. Where traditional models stop at compliance or awareness, HRM centers on monitoring the behaviors of the users who pose the most risk, and driving measurable outcomes through continuous improvement.

Think of it this way: awareness tells people what to do. HRM builds the environment, the tools, and the feedback loops that help them actually do it. Also, HRM proves it's working.

Why the shift matters now

The threat landscape is evolving fast, and human-targeted attacks are evolving with it. According to Mimecast's The State of Human Risk 2026 report, 71% of organizations expect negative business impact from collaboration tool attacks this year, with 45% already experiencing increased cyberattacks on platforms like Teams, Slack, and Zoom. Meanwhile, 80% of organizations are concerned about sensitive data leaking through generative AI tools, and 60% still lack specific strategies to address AI-driven threats, even as 98% are already using AI in their defenses.

The financial stakes are staggering. Organizations experience an average of six insider-driven incidents per month at an estimated cost of $13.1 million per incident, and 66% expect insider-related data loss to increase over the next year. Yet, only 28% of organizations combine regular security awareness training with continuous monitoring for policy violations. That disconnect between awareness and action is precisely where breaches happen. The challenge isn't just about spending more. It's about spending smarter, and that means addressing the human element with the same rigor applied to technical defenses.