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27/06/2026 1:07 pm
TL;DR: Nearly every email security vendor now claims to use AI, making differentiation harder for security leaders and pushing evaluation toward analyst-informed criteria, targeted questions, and evidence beyond demos and data sheets, according to Abnormal AI. The real issue is not feature parity but whether buying teams can test for operational limits instead of accepting marketing noise at face value.
NHIMG editorial — here’s why we think this discussion matters
By the numbers:
- 90% of IT leaders say properly managing NHIs is essential for a successful zero-trust implementation.
- 96% of organisations store secrets outside of secrets managers in vulnerable locations including code, config files, and CI/CD tools.
Questions worth separating out
Q: How should security teams evaluate email security vendors beyond demos?
A: Security teams should test platforms against real abuse scenarios, not polished demonstrations.
Q: Why do AI claims make email security harder to compare?
A: AI claims make comparison harder because vendors use the term to describe different functions, from message classification to behavioural detection and workflow automation.
Practitioner guidance
- Build an evaluation matrix around abuse scenarios Test how each platform handles impersonation, malicious links, OAuth abuse, and post-delivery payloads, then score the results against the threats your environment actually sees.
- Use analyst questions to force boundary testing Ask vendors to show failure cases, not just ideal flows, so you can see where detection confidence drops and what operational signals remain available.
- Validate identity integration before purchase Confirm how alerts feed mailbox containment, account review, and investigation workflows so email security does not operate as an isolated control.
What to expect at the briefing
Abnormal AI's full webinar covers the operational detail this post intentionally leaves for the source:
- The analyst-led question set used to compare email security vendors beyond polished demos.
- How Gartner-style evaluation criteria are applied to real vendor claims about AI and detection.
- The specific questions that expose limitations in message handling, investigation support, and response integration.
- Practical guidance on using analyst reports without turning rankings into the only decision input.
👉 Watch Abnormal AI's webinar on evaluating email security vendors in 2026 →
Email security in 2026: what matters beyond rankings and demos?
Explore further
27/06/2026 2:20 pm
Marketing noise has become a governance problem, not just a buying annoyance. When nearly every email security vendor claims AI, the harder task is no longer feature comparison but evidence discrimination. That shift matters because security teams can buy capabilities that sound intelligent without proving they reduce identity exposure or downstream compromise. The practitioner conclusion is simple: treat evaluation quality as part of security governance.
A few things that frame the scale:
- 90% of IT leaders say properly managing NHIs is essential for a successful zero-trust implementation, according to Ultimate Guide to NHIs.
- 71% of NHIs are not rotated within recommended time frames, increasing the risk of compromise over time, according to Ultimate Guide to NHIs.
A question worth separating out:
Q: How can email security fit into identity governance more effectively?
A: Email security should feed identity-aware response, not sit apart from it. If a suspicious message leads to credential theft, mailbox abuse, or account takeover, the control value lies in how quickly the organisation can investigate, contain, and review access. That makes integration with identity workflows as important as detection quality.
👉 Read our full editorial: Email security evaluation in 2026 is shifting beyond vendor rankings
