This paper shows how email security breaks Zero Trust by forcing permanent exceptions, and argues for trust models that preserve visibility, accountability, and security without disrupting business communication.

Analysis of 2,042 attacks that bypassed Microsoft E3/E5 and leading SEGs, revealing how AI-driven, brand-impersonation threats evade authentication, exploit trusted platforms, and expose architectural limits of email security

This whitepaper explains why AI breaks email security and introduces a framework comparing rules, ML, and LLM-native platforms across completeness, accuracy, and response speed to guide intent-based defense.

DocuSign impersonation now dominates advanced email attacks, bypassing Microsoft E3/E5 and leading gateways. Analysis of 2,500+ Q4 2025 attacks shows DocuSign-themed threats accounted for 13.8% of all cases.

Despite Microsoft E5 and a leading SEG, a law firm faced AI attacks. StrongestLayer found 347 threats in 10 days, cutting risk, false positives, and investigation time dramatically.

A major law firm discovered the hard truth: even with Microsoft E5 and a top Secure Email Gateway in place, AI-powered social engineering attacks were still sliding into inboxes. During a 10-day assessment, StrongestLayer uncovered 347 advanced threats that traditional tools completely missed

This whitepaper shows AI-driven phishing bypassing legacy tools, explains automated attack pipelines, and introduces TRACE, an intent-based engine achieving complete detection where signature systems fail at scale today.

Discover how StrongestLayer TRACE stops AI-generated phishing attacks that legacy email security tools miss. This datasheet breaks down how our LLM-native reasoning engine delivers unmatched detection, real-time employee coaching, and measurable ROI — all while reducing SOC workload and false positives.

This whitepaper explains why legacy email security fails against AI phishing and shows how AI-native architectures eliminate false positives, detect novel threats, and restore control for security leaders.

AI Advisor gives employees instant inbox verification, clear verdicts, and nano-training, cutting false positives below one percent, saving analyst hours, and turning email uncertainty into confident, secure action.

The Training Paradox shows why security awareness fails in the AI era and introduces human risk management with real-time learning to reduce risk, fatigue, wasted productivity costs.

The report analyzes AI-driven email threats, showing phishing clickthroughs surging, Microsoft 365 filters failing, and legacy defenses lagging, urging organizations to adapt with modern AI-native security strategies now.