Notifications
Clear all
Topic starter
27/06/2026 1:17 pm
TL;DR: Behavioral intelligence and AI-native defenses are changing email and collaboration security, with security leaders offering practical guidance on detecting threats that legacy tools miss and customer examples, according to Abnormal AI. The real shift is that defenders are moving from static email controls to behavior-aware detection and response that better matches modern attack patterns.
NHIMG editorial — here’s why we think this discussion matters
Questions worth separating out
Q: How should security teams detect email attacks that look legitimate at first glance?
A: They should combine behavioural intelligence with identity and collaboration telemetry, then look for deviations from normal sender relationships, message timing, forwarding behaviour, and delegated access.
Q: Why do legacy email security tools struggle with modern collaboration abuse?
A: Legacy tools are strongest when malicious content or known infrastructure is visible.
Practitioner guidance
- Map behavioural signals to identity owners Tie mailbox anomalies, forwarding changes, and collaboration abuse to named identity owners so investigations do not stop at the message level.
- Separate content filtering from trust-path analysis Keep signature and reputation controls, but add detection for abnormal sender relationships, unusual reply chains, and access patterns that reveal misuse inside legitimate conversations.
- Define containment steps for suspicious collaboration activity Pre-approve actions such as thread quarantine, token revocation, and delegated-access review so analysts can move from alert to containment without waiting on ad hoc decisions.
What to expect at the briefing
Abnormal AI's full on-demand summit covers the operational detail this post intentionally leaves for the source:
- Bite-sized sessions on behavioural intelligence for cloud email and collaboration platforms.
- Customer stories showing how teams operationalise AI-native detection in real environments.
- Practical guidance from CISOs, researchers, and executives on stopping modern attacks.
- Information on ISC2 CPE eligibility and how to access the session library.
👉 Watch Abnormal AI's on-demand summit on behavioural intelligence for email security →
AI-native email security: what it means for defenders?
Explore further
27/06/2026 2:34 pm
Behavioral detection is becoming the control plane for email trust. Email and collaboration systems now carry enough business context that attackers can hide inside normal-looking activity for long periods. Static filtering and reputation checks still have value, but they are no longer sufficient on their own when the attack blends into legitimate communication patterns. Practitioners should treat behavioural telemetry as a first-class identity signal, not a secondary alert source.
A few things that frame the scale:
- 70% of organisations grant AI systems more access than they would give a human employee performing the exact same job, according to The 2026 Infrastructure Identity Survey.
- Only 44% of organisations have implemented any policies to manage their AI agents, despite 92% agreeing that governing AI agents is critical to enterprise security, according to The 2026 Infrastructure Identity Survey.
A question worth separating out:
Q: How do cloud email and collaboration risks change IAM planning?
A: IAM planning has to extend beyond login events into conversation paths, delegation patterns, and mailbox behaviour. That means security teams should treat collaboration platforms as identity surfaces, with controls that cover abnormal access, unusual forwarding, and risky trust relationships, not just authentication at the front door.
👉 Read our full editorial: AI-driven email security is shifting toward behavioural detection
