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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
Multiple independent models in agreement — what fools one won't fool all.
POWERED BY MAVENN
Multi-model consensus for email security
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
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EMAIL RECEIVED
An incoming email is routed through PhishHook's evaluation pipeline. No changes to your existing email infrastructure required.
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MULTI-MODEL EVALUATION
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.
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CONSENSUS VERDICT
Where models agree the email is malicious — it's blocked. High confidence, low false positive rate. The redundancy is the feature.
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DISSENT = HUMAN REVIEW
Where models disagree, PhishHook flags the email for human review rather than making an automated decision. Uncertainty is surfaced, not hidden.
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CONTINUOUS LEARNING
Human review decisions feed back into the system. Disagreements that get resolved inform future evaluations.
ACCESS
Join the beta — help us calibrate the pipeline.
contact@proticom.com
844.PROTICOM
proticom.ai
844.PROTICOM
proticom.ai