Unphish turns the latest advances in machine learning, computer vision and autonomous agents into a live defense system. It reads the internet the way an attacker uses it, and takes their infrastructure apart faster than they can rebuild it.
Every layer is built in-house and tuned on more than a decade of real enforcement outcomes. Data flows up, decisions flow down, and every result makes the whole system smarter.
Attackers change URLs, text and code to dodge keyword filters. They can't change what the page has to look like to fool someone. Our vision-language models read the rendered screenshot, layout, logos, forms and source code together, and reach a verdict in milliseconds, in any language.
Today's kits fingerprint visitors and show a harmless page to security tools. Unphish runs a distributed fleet of real browsers across residential, mobile and regional networks, so we see exactly what a targeted customer sees, and prove it with evidence.
Every detection becomes a node in a graph of attacker infrastructure. Entity resolution links domains, certificates, hosting, kits, accounts, phone numbers and wallets through shared fingerprints, so one sighting reveals the entire network behind it.
Our enforcement agents are large language models equipped with tools and a knowledge base of platform policies built from more than a decade of takedowns. They identify every responsible party, write the exact notice each one needs, file through APIs, block in browsers, and keep checking until the threat is gone.
Attackers leave traces days before a campaign goes live. Our models watch certificate transparency logs, domain registrations and DNS changes in real time, and flag infrastructure while it is still being built.
Each verdict, each analyst correction and each takedown outcome feeds back into our models. New attacker techniques seen against one customer strengthen detection for every customer, often within hours.
Senior analysts stay in the loop for edge cases. Their judgment is the training signal that keeps the AI precise.
Our government-backed research program is focused on the threats that generative AI is creating right now.
Spotting synthetic executives and support agents in vishing and video-call fraud.
Identifying lures generated by large language models at scale.
Following scam payments to link campaigns and actors across chains.
Predicting the next targets and infrastructure a network will use.
Book a 30-minute session with our engineers. We'll run the engine live against the threats targeting you.