With Deep Instinct DSX, Deep Instinct redefines strategic cybersecurity.

Cybersecurity has relied on responsive strategies for decades to identify, analyze, and respond to threats that infiltrate systems. Deep Instinct Inc. is a chief in the shift toward proactive security that the modern landscape is undergoing.

The ability to stop threats before they occur was what I always struggled with, even with my last few companies, according to , chief executive officer of Deep Instinct ( pictured, right ). There are many levels of technologies that make up security, and there is great technology, but the real problem was how to put ourselves in a position of protection first in the field of artificial intelligence.

During an exclusive broadcast on theCUBE, SiliconANGLE Media’s livestreaming studio, Bess and&nbsp, Carl Froggett ( left ), chief information officer of Deep Instinct, spoke with Rebecca Knight for the . They discussed how Deep Instinct prioritizes elimination over detection and response, paving the way for a more stable online future.

strategic security is brought to attention by DXS.

Deep Instinct’s DSX system uses deep neural networks to detect and prevent threats prematurely, in contrast to traditional methods that rely on signatures and machine learning. It uses profound learning across a range of security domains, including cloud storage, applications, and endpoints, to improve an organization’s safety posture and streamline operations, Froggett claims. The company was given a Diced” Top AI Development for Security” award in recognition of these advancements.

With DSX, Froggett said,” We’re able to take that primary differentiator, that exclusive value we have, and use it to different areas of an company’s security stack.” It is “very distinctive in the market because of the freedom of being able to take that deep understanding core and that prevention-first approach.”

Harmful actors are now using big language models, including AI, to create sophisticated malware on demand. A more complex defense system is required for this change in attack strategy. According to Froggett, Deep Instinct’s AI-driven protection unit successfully neutralizes these threats in real-time, bridging the gap between risk and security development.

” We have a very versatile rollout model that plays well, especially with some of the more contemporary shift-left agile growth as we transition to cloud and software layers,” he said. You can use the same basic profound learning core that we use in a variety of use cases.

The Tech Innovation CUBEd Awards 2025 meeting set features a full picture meeting, including one that was provided by Silicon ANGLE and CUBBE Research.

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