Cybersecurity firm Deep Instinct Ltd. is hoping to make a name for itself after raising an impressive $43 million in a funding round led by Millennium New Horizons.

Unbound, LG Electronics Inc. and Nvidia Corp. also participated in the Series C round announced today. It brings Deep Instinct’s total amount raised to $100 million.

Deep Instinct has developed a patented threat detection platform that uses deep learning techniques to protect against sophisticated and previously unknown threats. The platform is built on a deep neural network that learns to predict and prevent all types of security threats, including both file-based and fileless, and its prediction capabilities become instinctive over time. As a result, both known and first-seen malware and advanced persistent threat or APT attacks are predicted and prevented as soon as they emerge, the company said.

The platform can run on both physical and virtual networks, across multiple operating systems including Windows, Android, iOS and others. Moreover, the company claims to have “the lowest level of false positives” of any cybersecurity provider.

Deep Instinct’s co-founder and chief executive officer Guy Caspi told SiliconANGLE in an interview that its reliance on deep learning rather than machine learning or other forms of artificial intelligence gives its platform a significant advantage over other cybersecurity offerings.

“Deep learning provides a more advanced form of threat protection,” Caspi said. “Machine learning systems rely on feature extractions, limited by the knowledge of the security expert, have low detection rates of new malware and high false-positive rates. Deep learning is a fully autonomous system that can learn from any raw data, not limited by an expert’s technological knowledge, and provides prevention, detection and response with the highest detection rates of unknown malware.”

Caspi explained that once a device has been embedded with a deep learning protection model, it effectively becomes an “autonomous analysis entity” that allows it to predict malicious intent in real time, and take preventive action without any supplementary analysis by humans.

“Utilizing deep learning enables us to protect multiple operating systems and different environments, all without the need for cloud access,” Caspi said. “It also protects against fileless or file-based attacks. Most machine learning systems are usually used to protect against Windows file-based attacks, and require network or cloud connection.”

Millennium New Horizons partner Ray Cheng said he decided to back Deep Instinct because it’s the first cybersecurity software provider he has seen that can apply deep learning to automate malware analysis.

“That genuine protection in an age of escalating threats, without the need of exorbitantly expensive or complicated systems, is a paradigm change,” he said.

Further validation of Deep Instinct’s platform comes from the laptop maker HP Inc., which recently partnered with the firm to create HP SureSense for its latest EliteBook and ZBook devices. With HP SureSense, HP’s newest laptops are afforded “zero-time detection and prevention” from the most advanced and sophisticated cyberthreats, the company said.

Deep Instinct plans to use the funding to accelerate its sales and marketing efforts as it bids to expand its business operations globally.

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