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01/08/2026 10:46 pm
TL;DR: Email remains the most common initial attack vector as cybercriminals use machine-speed AI, AI-generated phishing, impersonation, and compromised legitimate accounts to bypass legacy filters, according to KnowBe4 and Frost & Sullivan. Static detection and signature-based models no longer match the pace of modern social engineering, making integrated detection, simulation, and response a governance issue, not just a tooling choice.
NHIMG editorial — based on content published by KnowBe4: Analyst Report 2026 Frost & Sullivan Global Email Security Customer Value Leadership Report
Questions worth separating out
Q: How should security teams respond when an email account is taken over?
A: Teams should contain the identity first, then inspect the inbox for rule changes, forwarding abuse, and suspicious sign-ins.
Q: Why do AI-generated phishing emails weaken traditional email security models?
A: AI-generated phishing weakens traditional models because static filters depend on repeated patterns, known malicious infrastructure, and predictable wording.
Q: What do organisations get wrong about email security awareness training?
A: They often treat training as a standalone defence instead of one layer in a larger control system.
Practitioner guidance
- Map email abuse to identity controls Classify phishing, impersonation, and compromised-account abuse as identity events, then route them into IAM, PAM, and SOC workflows instead of treating them as mailbox-only incidents.
- Correlate authenticated sender behaviour Baseline normal sending patterns for high-value users and service accounts, then alert on unusual recipients, timing, volume, or message intent from authenticated identities.
- Tie simulations to response playbooks Use phishing simulations to identify failure modes, then update quarantine rules, reporting paths, and account containment steps based on observed user and system behaviour.
What's in the full report
KnowBe4's full report covers the operational detail this post intentionally leaves for the source:
- The report's vendor-specific breakdown of how inbound detection, outbound protection, and automated incident response are combined in one operating model.
- The analysis behind Frost & Sullivan's customer value leadership recognition and what evaluation criteria shaped the finding.
- The full discussion of attack simulation and training design for advanced social engineering campaigns.
- Implementation detail on how the platform reduces overlapping tools and operational overhead in day-to-day email security operations.
👉 Read KnowBe4's report on the 2026 Frost & Sullivan email security findings →
Email security and AI phishing: are legacy filters keeping up?
Explore further
01/08/2026 10:55 pm
Email security is now an identity governance problem as much as a messaging problem. When attackers use compromised legitimate accounts, the control failure is not only at the gateway. It is also in how organisations govern account trust, authentication strength, and abnormal outbound behaviour. That makes this a direct concern for IAM, PAM, and SOC teams, because authenticated identity is being weaponised as an attack channel. Practitioners should treat email as part of the identity control plane, not a separate perimeter.
A question worth separating out:
Q: How can teams measure whether their email defences are keeping up?
A: They should measure how often suspicious campaigns are detected after a channel change, not only at inbox entry. If the same lure can move into collaboration tools without a linked alert, the organisation has visibility into messages but not into the attack path.
👉 Read our full editorial: Email security must move beyond static filters and training
