What AI-Native Email Security Looks Like
Doppel Blog, Tuesday, July 7th, 2026
Doppel argues email security must move from rule-based systems to AI-native architecture built on three core pillars.
The article contends that email defense should evolve beyond legacy rule-based tools toward AI-native architecture.
It identifies three foundations: a natural-language detection engine that interprets plain-English policies instead of hand-coded YARA or Sigma rules, an intelligent feedback loop with autonomous agents that investigate misses conversationally, and scalable infrastructure that applies LLMs across all detection paths while controlling token costs.
It also warns that as email payloads become executable code for AI, adversarial prompt injection becomes an emerging risk requiring new architectural safeguards.