TL;DR: As social engineering, geopolitical risk, and supply chain pressure increase, CISOs are using behavioral AI to stop high-risk email threats faster, reduce manual triage, and improve SOC efficiency, according to Abnormal AI. The governance question is whether email controls can still scale when detection and response must be continuous, not review-cycle driven.
NHIMG editorial — here’s why we think this discussion matters
Questions worth separating out
Q: How should security teams handle email threats that target identity workflows?
A: Security teams should treat email as a control point for identity risk, not only a phishing channel.
Q: Why do social engineering campaigns still succeed in mature enterprises?
A: They succeed because many controls focus on message content while attackers target human trust and business context.
Practitioner guidance
- Map email threats to identity-impacting workflows Identify which inbox-based attacks can influence password resets, approval chains, payment authorisation, and delegated access.
- Automate first-pass triage for high-confidence patterns Use behavioural and contextual scoring to suppress obvious noise and route only high-risk messages to analysts.
- Tie email controls to incident containment playbooks Ensure suspicious-message handling includes user notification, mailbox investigation, credential checks, and downstream approval review.
What to expect at the briefing
Abnormal AI's full webinar covers the operational detail this post intentionally leaves for the source:
- CISO perspectives from JB Poindexter & Co. and Save the Children International on what they changed in day-to-day email defence.
- Practical examples of how behavioural AI helped reduce manual triage hours and prioritise high-risk messages.
- Discussion of measurable outcomes enterprises are seeing when email threats are handled with more automation and less analyst fatigue.
- The live webinar format and continuing-education details for teams that want the underlying conversation in full.
👉 Watch Abnormal AI's on-demand webinar on behavioural AI for high-risk email threats →
High-risk email threats and SOC triage: what changes for teams?
Explore further
High-risk email has become an identity governance problem, not just a messaging problem. The attack surface now includes approvals, delegated trust, and human workflow interruption, which means email controls influence access outcomes directly. Security teams that treat inbox threats as a side channel miss how often they become the first step in account compromise or fraudulent authorisation. The practical conclusion is that email defence belongs inside identity risk governance, not beside it.
A few things that frame the scale:
- 43% of security professionals are concerned about AI systems learning and reproducing sensitive information patterns from codebases, according to LLMjacking: How Attackers Hijack AI Using Compromised NHIs.
- DeepSeek accidentally embedded over 11,000 secrets in its training data and left a database exposed online, revealing more than one million sensitive records, according to LLMjacking: How Attackers Hijack AI Using Compromised NHIs.
A question worth separating out:
Q: How do teams know whether email security is actually reducing risk?
A: The clearest signal is shorter time between message arrival and containment of the identity-relevant threat. If a programme only improves detection counts, but users still have time to respond, approve, or disclose information, risk remains. Effective control changes how quickly the organisation can stop trust from being exploited.
👉 Read our full editorial: Behavioral AI for high-risk email threats and SOC triage