Machine Learning

Deep Learning-powered Bolster Wins Editor’s Choice Award

RSA Conference

Coveted Global InfoSec Award Recognizes Bolster for the Industry’s Fastest Takedown Time of 3 Minutes for Phishing and Fraudulent Sites

RSA Conference 2021 – Bolster, a deep learning-powered, next generation fraud prevention company, today announced that the company has been named the Editor’s Choice in Fraud Prevention by Cyber Defense Magazine (CDM). The winners will be recognized at the virtual RSA Conference 2021 this week and more details can be found here:

“We’re thrilled to receive the editor’s choice award from Cyber Defense Magazine,” said Abhishek Dubey, co-founder and CEO of Bolster. “Our research found that online fraud was up 185 percent last year with nearly 7 million new phishing and scam pages created. Online fraud is at an all-time high and manual website takedown efforts take far too long. We need to embrace auto-takedowns as the new norm, if we’re ever going to win against the rising tide of scammers.”

Leveraging its AI-powered online fraud prevention platform, Bolster protects some of the largest brands in the world from phishing, account takeovers, fraudulent websites and more. Within 3 minutes and without human intervention, Bolster is able to automatically identify and take down scam websites in real-time, with true zero-day detection capabilities.

“It is no secret the internet has become ripe with scammers but Bolster is leading the charge by protecting major brands and consumers from fraudulent websites,” said Gary S. Miliefsky, Publisher of Cyber Defense Magazine. “We are honored to name Bolster the editor’s choice for fraud prevention and recognize the important work they are doing to rid the internet of phishing and fraud.”

For more such updates and perspectives around Digital Innovation, IoT, Data Infrastructure, AI & Cybsercurity, go to

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