An AI system to answer a single question:
Is this a real user?

Shape uses artificial intelligence to fight artificial users

Attackers appear virtually identical to genuine users by hijacking their devices, simulating human behavior, and leveraging stolen identities. Their tooling and methods change rapidly, so it is extremely difficult for the naked eye alone to tell the difference between real and fake without the assistance of machines.

AI is as good as the quantity & quality of its data

For a neural network to be useful in discerning actors that are actively trying to fool it, the system must be trained on billions of requests until the inputs are so precise that they can definitively assess the correct answer every time, no matter the sophistication of the attackers. In other words, the neural network has taught itself what a human request looks like.

Shape has defended the world’s largest companies for years, giving our machine learning models access to data that comprehensively resembles the real-world of attackers and their ability to retool. Today, Shape processes over 500 million transactions per day, including 50 million new attacks and 100 million real human logins every day.

Two solutions that leverage Shape’s AI system


Detect and deflect attacks on web and mobile applications, preventing a large swath of online fraud. Shape continually discovers new attack signals and then deploys new countermeasures autonomously, providing long term efficacy.
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Detect user and employee credentials that have been compromised and actively in use by attackers. Blackfish alerts enterprises before attackers target them, proactively preventing account takeovers.
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