Automation should assist analysts vs.
replace their judgment.
When AI operates without supervision, risk shifts but it does not disappear.
Autonomous detection assumes:
- Models stay current
- Attack patterns don’t evolve faster than training
- Errors are acceptable at scale
None of that holds true in phishing.
What Human Supervision Enables
- Continuous learning from real attacks
- Correction when models misclassify
- Transparency into why actions are taken
This is what regulated environments require.
Why Cofense Is Different
Cofense was built for Phishing, not retrofitted.
That means:
- Analysts trained specifically on phishing threats
- Shared intelligence across organizations
- AI guided by verified outcomes, not assumptions
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