Enterprise-scale human risk management. Run by one lean team.

The Autonomous AI Phishing Simulator picks the right simulation for every employee by role, real behavior and current risk, adjusting technique, difficulty and frequency over time. Advanced false-click detection filters out the clicks your own security tooling generates (IP, user-agent, time-to-click, tracking-pixel tells) - so reporting stays clean and defensible without you scrubbing spreadsheets.

The AI Security Awareness Content Generator turns your policies into organization-specific training automatically, on top of a 300+ module library - multilingual and inclusive by design (all global languages, Sharia-compliant options, WCAG 2.2 AA). Every person gets training calibrated to their role, behavior and knowledge level. Author once; run continuously.

Live signals from your security stack trigger contextual nudges in Teams, timed for when people are active - not on holiday, not mid-meeting. The mistakes that used to become next quarter's training theme get corrected in ninety seconds, automatically.

CyberQ gives each person a competence score they own and improve, with leaderboards, badges and monthly snapshots that turn security from a push into a pull. Managers act from their own view - nudging or congratulating their people - because a word from someone's own manager beats one from a security team they've never met.

Start in advisory mode - the platform recommends, you approve. Automate selectively as confidence grows. Teams running the full platform report reclaiming 2.3+ FTE of manual training delivery - time that goes back into strategy, stakeholders and the work that actually needs a human.

Every interaction gathers intelligence back. When field engineers admit they share files through personal Dropbox because the approved tool is clunky, no scanner surfaces that - your people do. Danske Bank's learners have volunteered 7,000+ security insights the security team now acts on.