Is it the same risky 10%? This year, we can answer.
Last year we found that 10% of the workforce drives roughly three quarters of risky behavior. In this live session, we'll unpack the 2026 findings, drawn from 55.9 million risk signals across 4.9 million verified identities.
Questions we'll answer live
- 01Is human risk still concentrated?
- 02Is it the same 10% year over year?
- 03Can risky users actually be reformed?
- 04How fast do new programs see results?
- 05How do you find emerging risk and act before it becomes an incident?
Your webinar hosts
Ashley Rose
CEO & Co-founder | Living Security
Ashley founded Living Security on a simple conviction: empowering people is the best path to lasting behavior change and breach prevention. She's led the company from in-person training to an AI-native platform, raised more than $25 million, and guided it to a leader position in the Forrester Wave.
Featured in Forbes, TechRepublic, Dark Reading, Security Magazine, CyberWire and Cybersecurity Ventures.
Chris Poirel
Director of Data Science, Engineering | Living Security
Chris has spent more than a decade turning user behavior data into a clear picture of human risk. He began at RedOwl and continued through its time as Forcepoint UEBA, leading the team that built its core analytics infrastructure. Today he leads data science at Living Security, shaping the models behind the platform's risk insights.
Named inventor on multiple security analytics patents. PhD in Computer Science, Virginia Tech.
Built for the people who own the number
CISOs and security awareness leaders who need to defend a program budget, set a realistic baseline, and decide where intervention actually pays back.
- —A benchmark to hold your own program against
- —How continuous identity and behavior analysis surfaces emerging risk
- —What intervention changed, and the one category that resists it
2026 State of Human Risk Report: The Moving Target.
100+ organizations, 4.9M verified identities, 55M+ risk-signal detections, tracked across two full years.
