Phishing remains one of the most common ways attackers get into a business — not through some exotic exploit, but through someone just trying to do their job: opening an invoice, resetting a password, helping a "vendor" with an urgent request. Traditional spam filters catch the obvious stuff. They routinely miss the carefully-written one.
NUURBY combines deterministic technical checks with LLM-based reasoning — catching both the obvious red flags and the subtle social-engineering patterns that fool people, not just filters.
Combines real technical signals (sender authentication, link/domain patterns, header anomalies) with AI reasoning about tone and intent — not AI judgment alone.
"This looks safe" or "this is likely phishing — here's why," in one sentence. No wall of jargon standing between your team and a decision.
Learns what a trusted sender's normal writing style looks like, so an impersonation attempt actually stands out.
Analysts can flag false positives/negatives, feeding directly back into how future decisions get made.
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