Topic starter
27/06/2026 1:21 pm
TL;DR: AI-fuelled, socially engineered email attacks are outpacing signature-based secure email gateways, leaving payload-less threats and fraud attempts harder to catch, according to Abnormal AI’s webinar with Pegasystems. Static rules are no longer enough when detection must learn normal behaviour in real time to reduce alert fatigue and SOC workload.
Editorial analysis by NHI Mgmt Group, based on content published by Abnormal AI: “Catching What Others Miss: Smarter Protection for Modern Email Threats”.
Key questions
Q: Why do static email rules fail against AI-powered phishing?
A: Static rules fail because AI can vary tone, wording, timing, and structure faster than human teams can retune filters.
A: AI-generated BEC increases fraud risk because it lets attackers write highly personalized messages that match the target’s context, tone, and relationship history.
Practitioner guidance
- Prioritise behavioural email detection Evaluate whether your email controls can detect abnormal sender behaviour, conversation patterns, and fraudulent intent when no malware is present.
- Reduce dependence on static signatures Review how much of your phishing coverage still depends on known indicators, and identify where adaptive models are needed for novel lures.
- Tune alerting to analyst capacity Measure which email alerts create the most manual investigation work and remove detections that generate noise without improving fraud prevention.
Bottom line: Legacy secure email gateways are increasingly misaligned with AI-generated social engineering because they were built around static indicators and known malicious content.
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This topic was modified 3 days ago by NHI Mgmt Group
27/06/2026 2:41 pm
AI-generated email fraud breaks the assumptions behind legacy SEG design: those controls were built to recognise known-bad content, not to judge whether a message is socially engineered. When attacks are payload-less, the control gap is not just lower detection quality, it is a mismatch between the control model and the attack model. The implication is that email security programmes have to shift from signature dependence to behavioural trust evaluation.
A question worth separating out:
Q: What should organisations do when legacy SEG controls no longer catch modern email threats?
A: They should keep the SEG for baseline hygiene but add adaptive detection that evaluates behaviour, identity context, and abnormal request patterns. The operational goal is to stop treating email security as a static filtering problem and start measuring whether the control can recognise deceptive intent in real time.
👉 Read our full editorial: AI-fuelled email threats expose the limits of legacy SEG controls
This post was modified 3 days ago by NHI Mgmt Group