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AI USE CASE

AI phishing & email-threat detection

Catch phishing, BEC and malware emails the secure email gateway misses.

Typical budget
€15K–€60K
Time to value
6 weeks
Effort
3–8 weeks
Monthly ongoing
€500–€3K
Minimum data maturity
intermediate
Technical prerequisite
dev capacity
Industries
Finance, Healthcare, public_sector, Professional Services, Manufacturing
AI type
ml classification

What it is

An ML model analyses email content, sender reputation, header anomalies and behavioural context (does this CEO usually email this CFO at this hour?) to catch sophisticated phishing and business-email-compromise attempts that signature-based gateways miss.

Data you need

Email gateway access, identity directory, 6+ months of email history.

Why it works

  • Per-user feedback loop on quarantined emails
  • Layered defence: keep your existing SEG

How this goes wrong

  • False positives quarantining legitimate executive emails
  • Single point of trust — vendor lock-in

When NOT to do this

Skip if you have no SOC or incident response process — alerts will go unactioned.

Vendors to consider

This use case is part of a larger Data & AI catalog built from 50+ enterprise transformation programs. Take the free diagnostic to see how it ranks against your specific context.