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
Deep Instinct, the preemptive data security company built on the first and only AI-based deep learning framework for cybersecurity, 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.
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