PRODUCT — BETA
PhishHook.ai
Email security via Mavenn consensus. One AI model can be fooled. Multiple independent models in agreement are harder to deceive.
THE PROBLEM
Phishing attacks defeat single-model defenses
PhishHook is the first production application of Mavenn's multi-model consensus engine. The same architecture that makes Mavenn accurate for research and analysis makes PhishHook more accurate than single-model email security.
HOW IT WORKS
The consensus pipeline for email security
An incoming email is routed through PhishHook’s evaluation pipeline. No changes to your existing email infrastructure required.
Mavenn’s consensus engine sends the email to multiple AI models simultaneously. Each evaluates independently for phishing indicators, social engineering, malicious links, and sender anomalies.
Where models agree the email is malicious — it’s blocked. High confidence, low false positive rate. The redundancy is the feature.
Where models disagree, PhishHook flags the email for human review rather than making an automated decision. Uncertainty is surfaced, not hidden.
Human review decisions feed back into the system. Disagreements that get resolved inform future evaluations.
ACCESS