Topic starter
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.
Editorial analysis by NHI Mgmt Group, based on content published by Abnormal AI: “Beyond the Quadrant: An Analyst's Guide to Evaluating Email Security in 2026”.
Key questions
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: What should teams do when email security vendors all claim AI?
A: Teams should stop treating AI claims as differentiators and instead ask what the system actually detects, what evidence supports those detections, and where the buyer still needs human review.
Practitioner guidance
- Standardise vendor evaluation criteria Create a consistent scorecard that tests detection coverage, response workflow, administrative overhead, and evidence quality across every email security candidate.
- Replace demo-led buying with scenario testing Use realistic phishing, impersonation, and business email compromise scenarios to see how each product behaves when the obvious indicators are missing.
- Use analyst reports as a screening input Treat rankings as a way to narrow the field, then require direct proof that the product fits your threat model and operating constraints.
Bottom line: Email security buying in 2026 is increasingly defined by whether teams can test operational behaviour rather than trust AI-labelled feature claims.
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This topic was modified 3 days ago by NHI Mgmt Group
27/06/2026 2:20 pm
AI branding has created evaluation parity that is mostly cosmetic. When nearly every vendor uses the same language, the buying problem is no longer which product sounds most advanced. The problem is which control can be validated against real email attack patterns, deployment constraints, and response workflows. Security leaders should assume that marketing convergence will keep getting worse, so evaluation discipline has to get sharper.
A question worth separating out:
Q: How do organisations know if email security is actually working?
A: Look for fewer fraudulent requests reaching approval stages, faster triage of suspicious mail, and reduced analyst time spent on low-value noise. Effective email security improves decision quality, not just blocking rates, because the real test is whether risky identity-linked messages are stopped before business action occurs.
👉 Read our full editorial: Email security evaluation in 2026 is shifting beyond vendor rankings
This post was modified 3 days ago by NHI Mgmt Group