Deep Instinct Releases Next-Generation AI Analyst to Provide Instant Explainability of Never-Before-Seen Threats

Now in GA, DIANNA pairs with the DSX Brain to provide expert-level analysis of zero-day and unknown threats, arming security teams with confidence in seconds

NEW YORK--(BUSINESS WIRE)--Deep Instinct, the preemptive data security company built on the first and only AI-based deep learning framework for cybersecurity, today announced the general availability of DIANNA (Deep Instinct’s Artificial Neural Network Assistant). DIANNA works in tandem with the DSX Brain, the world’s first purpose-built deep learning (DL) cybersecurity “brain,” to deliver unprecedented explainability into unknown threats.

The cybersecurity industry has long relied on an "assume breach" mindset, resulting in billions of dollars lost to attacks each year. Legacy detection-and-response tools are slow, reactive, and increasingly ineffective against AI-powered threats, with IBM finding it takes organizations an average of 241 days to identify and contain a breach. With cyberattacks growing in speed and sophistication, organizations must adopt a preemptive data security posture to stop threats before they execute—not after the damage is done.

“Just as ChatGPT 5 delivers clear answers to complex questions, DIANNA brings instant threat explainability to cybersecurity teams,” said Lane Bess, CEO of Deep Instinct. “DIANNA delivers the clarity and confidence needed to explain unknown attacks prevented by the DSX Brain, accelerating the work of security teams by enabling faster, more decisive action. This is the future of cybersecurity: prevention-first, intelligent, and transparent.”

At the core of Deep Instinct’s prevention-first approach is the DSX Brain, a proprietary discriminative neural network purpose-built for cybersecurity, trained on tens of billions of data points over the past decade. With its ability to continuously learn like the human brain, DSX Brain stops known and unknown threats in <20 milliseconds, with >99% accuracy and <0.1% false positives.

DIANNA: Granular Explainability for Known and Unknown Threats

While the DSX Brain stops threats pre-execution, DIANNA provides the “why” and “how.” Powered by generative AI, DIANNA functions as a virtual team of malware analysts, breaking down complex, never-before-seen threats into actionable, easy-to-understand narratives. In <10 seconds, DIANNA delivers insights into attack anatomy, patterns, and behaviors for both known and unknown threats, equipping security teams with the context they need to act faster and more effectively.

Competitors offer basic bots that recycle known threat data from existing logs or reputation data. DIANNA is different: it explains the unexplained, giving analysts expert-level visibility into never-before-seen attacks. The result is unprecedented visibility and confidence in the DSX Brain’s verdicts, all while reducing false positives and streamlining SOC workflows.

With the combined power of the DSX Brain and DIANNA, Deep Instinct is redefining cybersecurity—moving the industry from reactive detection to preemptive data security with transparency and certainty.

About DIANNA

To see DIANNA in action, please visit the DIANNA Explains Hub, where sophisticated malware caught by Deep Instinct is dissected and explained. Then, join our webinar on Wednesday, October 1st at 11 AM ET to experience explainability live. We’ll create never-before-seen AI-driven malware, prevent it with the DSX Brain, and then have DIANNA perform live analysis, demonstrating the one-of-a-kind technology in action.

For more information on Deep Instinct’s predictive prevention capabilities, visit www.deepinstinct.com.

About Deep Instinct

Deep Instinct, the first and only preemptive data security company built on a deep learning cybersecurity framework, prevents unknown threats in <20 milliseconds, 750X faster than the fastest ransomware can encrypt. Deep Instinct Data Security X (DSX) secures data at-rest or in-motion—across cloud, NAS, applications, and endpoints.

DSX Brain, Deep Instinct’s deep learning framework, prevents zero-day threats that no one else can find, with >99% accuracy and a <0.1% false positive rate. DIANNA, the DSX Companion, leverages GenAI to provide unparalleled explainability into unknown threats in <10 seconds.

For more, visit www.deepinstinct.com.