
Deep Instinct, the preemptive data security company built on deep learning for cybersecurity, has announced the general availability of DIANNA (Deep Instinct’s Artificial Neural Network Assistant). DIANNA works with the DSX Brain—the world’s first purpose-built deep learning cybersecurity brain—to provide instant, expert-level explainability of zero-day and unknown threats. This combination equips security teams with unprecedented visibility, faster response, and greater confidence in stopping never-before-seen attacks before damage occurs.
Deep Instinct launches DIANNA, an AI analyst delivering <10s threat explainability.
Works with DSX Brain to stop unknown threats pre-execution with >99% accuracy.
DIANNA provides expert-level visibility into zero-day and never-before-seen attacks.
Helps SOCs act faster, reduce false positives, and streamline workflows.
Moves cybersecurity from reactive detection to preemptive data security.
DIANNA Explains Hub and webinar showcase live malware analysis in action.
The cybersecurity field has long struggled with reactive tools and slow response times, often taking up to 241 days to contain breaches. Deep Instinct’s DSX Brain already delivers unmatched prevention, halting threats in under 20 milliseconds. Now, DIANNA complements this capability by delivering immediate explainability. Using generative AI, it breaks down complex, never-before-seen threats into actionable narratives within 10 seconds. Instead of relying on recycled log data or signatures, DIANNA explains the anatomy, behavior, and patterns of unknown attacks, giving analysts clarity and confidence in DSX Brain’s decisions.
Unlike traditional detection-and-response solutions, Deep Instinct advocates a prevention-first approach. This strategy aims to stop threats before execution and prevent costly breaches. Lane Bess, CEO of Deep Instinct, emphasized, “Just as ChatGPT 5 delivers clear answers to complex questions, DIANNA brings instant threat explainability to cybersecurity teams. 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 its core, DSX Brain is a discriminative deep learning neural network trained on tens of billions of data points. With continuous learning capabilities, it stops unknown attacks with unrivaled speed and accuracy. DIANNA complements these strengths by explaining DSX Brain’s prevention decisions in plain language, providing SOC teams with actionable insights, reinforcing trust, and drastically reducing false positives. The system empowers organizations to streamline threat workflows while reinforcing resilience against AI-powered attacks.
Competitor solutions often rely on signature-based detection or surface-level analysis, leaving gaps in visibility. DIANNA sets a new benchmark by providing expert-level visibility and accelerating SOC efficiency in seconds. Together with the DSX Brain, the solution transforms cybersecurity by erasing blind spots while enabling total confidence in automated threat prevention. Security teams can now reduce guesswork, prevent breaches at speed, and secure enterprise environments against previously unexplainable cyber events.
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.