Failure rates in phishing simulations range from 1.8% to 30.8% depending on the lure. So what does a repeat-clicker list measure, and what can you do with it?
Failure rates in phishing simulations range from 1.8% to 30.8% depending on the lure. So what does a repeat-clicker list measure, and what can you do with it?
Awareness plans are usually split by department, the criterion that ages worst. Which criteria hold up a plan by audience, and how to build the calendar.
Self-efficacy predicts secure behavior better than knowledge does, and no awareness dashboard tracks it. What the evidence says and what a program can decide.
Automation bias shows up when an AI layer rules on an email before the person does. What the evidence shows and which programme decisions change.
A habit fires on a context cue rather than on the intention of the moment. Which behaviours can become habits, and when it pays to intervene.
How to audit a platform’s maturity from its public release history, the four signals worth checking and what shows up when you apply them to SMARTFENSE.
Normalization of deviance explains why an unsafe practice becomes the team’s norm, and why punishing the case leaves that norm untouched.
The Digital Omnibus postponed high-risk rules, not training. What the AI Act requires on AI literacy for staff, and since when it is supervised.