has raised $43 million to advance its deep learning technology aimed at predicting and preventing increasingly sophisticated cyberattacks.
The company says it has developed an “artificial deep neural network brain” that can rapidly learn about new forms of malware and ransomware. As the system becomes smarter, it should be able to predict and prevent future attacks with high accuracy.
“Traditional cybersecurity is broken,” said Deep Instinct cofounder and CEO Guy Caspi in a statement. “Current solutions based on ‘assume breach’ are simply insufficient for the highly sophisticated attack landscape we all face. Deep Instinct takes an entirely new approach, preventing attacks before they are executed.”
The New York-based company is part of an emerging wave of startups turning to machine learning and artificial