Notifications
Clear all
Topic starter
20/08/2026 5:59 pm
TL;DR: AI phishing awareness training replaces static click-tests with adaptive simulations that use role context, behaviour signals, and threat intelligence to target human risk more precisely, according to Living Security Human Risk Management Platform. The shift matters because phishing programmes that measure compliance instead of behavioural change miss the access and identity context that actually drives breach impact.
NHIMG editorial — based on content published by Living Security Human Risk Management Platform: AI Phishing Awareness Training: Beyond the Click
Questions worth separating out
Q: How should security teams build a phishing programme that actually reduces risk?
A: They should connect reporting, triage, remediation, and coaching into a single workflow.
Q: Why do click rates give a misleading picture of phishing risk?
A: Click rates compress very different outcomes into one number, so they hide privilege, context, and whether the user reported the message.
Q: What do security teams get wrong about human risk management?
A: They often treat it as a training completion problem instead of a resilience problem.
Practitioner guidance
- Align simulations to live threat intelligence Use current phishing, vishing, and QR-code abuse patterns to generate role-specific simulations instead of reusing generic templates.
- Weight results by privilege and access scope Treat a failure by an administrator or finance approver as a higher-priority control signal than the same outcome from a low-risk account.
- Track reporting behaviour as a primary metric Measure how many users report suspicious messages, how quickly they do it, and whether reporting improves after micro-training.
What's in the full article
Living Security Human Risk Management Platform's full blog post covers the operational detail this post intentionally leaves for the source:
- Campaign design guidance for personalised phishing simulations across different employee risk profiles
- Implementation detail on correlating awareness results with identity systems and threat intelligence
- Examples of micro-training workflows and behaviour-change measurement models used in human risk programmes
- Practical reporting and dashboard patterns for tracking reduction in risky actions over time
👉 Read Living Security Human Risk Management Platform's analysis of AI phishing awareness training →
AI phishing awareness training: what changes for security teams?
Explore further
20/08/2026 6:38 pm
Static phishing training has become a governance lag problem, not just a learning problem. When attackers can change lures in real time, annual or template-based training cannot keep pace with the threat surface. The governance issue is that security teams often measure participation rather than behaviour change. For identity programmes, that means training data should be treated as an operational signal, not a compliance artefact. Practitioners should align awareness programmes with access risk and reporting outcomes.
A question worth separating out:
Q: How can phishing training support identity governance?
A: Phishing data can enrich identity governance by showing which users repeat risky behaviour, which roles need extra scrutiny, and where access reviews should focus first. It helps teams connect awareness outcomes to the controls that actually limit blast radius, especially for high-privilege accounts and sensitive business functions.
👉 Read our full editorial: AI phishing awareness training shifts security from clicks to risk
