Deep Instinct nabs $43M for a deep-learning cybersecurity solution that can suss an attack before it happens – TechCrunch

The worlds of artificial intelligence and cybersecurity have become deeply entwined in recent years, as organizations work to keep up with -- and ideally block -- increasingly sophisticated malicious hackers. Today, a startup that's built a deep learning solution that it claims can both identify and stop even viruses that have yet to be identified has raised a large round of funding from some big strategic partners. Deep Instinct, which uses deep learning both to learn how to identify and stop known viruses and other hacking techniques, as well as to be able to identify completely new approaches that have not been identified before, has raised $43 million in a Series C. The funding is being led by Millennium New Horizons, with Unbound (a London-based investment firm founded by Shravin Mittal), LG and Nvidia all participating. The investment brings the total raised by Deep Instinct to $100 million, with HP and Samsung among its previous backers. The tech companies are all strategics, in that (as in the case of HP) they bundle and resell Deep Instinct's solutions, or use them directly in their own services. The Israeli-based company is not disclosing valuation, but notably, it is already profitable.