Deep Instinct, a leader in prevention-first cybersecurity, has announced the general availability of DIANNA (Deep Instinct’s Artificial Neural Network Assistant). The new AI-powered analyst works hand-in-hand with the company’s DSX Brain, the world’s first deep learning engine purpose-built for cybersecurity, to give security teams immediate, clear explanations of never-before-seen attacks.

Shifting from Reactive to Preemptive Defense

For decades, the cybersecurity industry has operated under an “assume breach” model, costing organizations billions in damages each year. Traditional detection and response systems are increasingly ineffective, often requiring months to uncover a breach—IBM research shows the average detection and containment window is 241 days. With cybercriminals leveraging AI to accelerate attack speed and complexity, enterprises need solutions that block threats before they execute.

Cyber Technology Insights : ParkerGale Invests in Managed Security Service Provider RedZone Technologies

“Just as ChatGPT 5 simplifies difficult questions, DIANNA makes sense of previously unexplained threats,” said Lane Bess, CEO of Deep Instinct. “It provides the confidence and clarity security teams need to act faster and smarter. The combination of prevention and explainability is the future of cybersecurity.”

The DSX Brain: Speed and Accuracy at Scale

At the core of Deep Instinct’s platform is the DSX Brain, a neural network trained on tens of billions of data points over the past decade. Purpose-built for security, it can stop both familiar and unknown threats in less than 20 milliseconds, maintaining over 99% accuracy with fewer than 0.1% false positives. Its continuous learning capability mirrors the adaptability of the human brain, strengthening defenses against evolving attack methods.

Cyber Technology Insights : CrowdStrike Unveils the Falcon Platform Fall Release to Lead Cybersecurity

DIANNA: Turning Complexity into Actionable Insight

While the DSX Brain blocks threats at the pre-execution stage, DIANNA explains the reasoning behind those decisions. Using generative AI, it breaks down complex attacks into easy-to-understand narratives in under 10 seconds. This includes insights into attack anatomy, behavioral patterns, and techniques—giving analysts the context they need to respond quickly and effectively.

Unlike other tools that rely on recycled data from logs or threat reputation services, DIANNA provides true explainability of novel attacks, reducing false positives and optimizing SOC efficiency. By functioning as a virtual team of expert malware analysts, it empowers organizations to investigate faster while maintaining full confidence in the DSX Brain’s verdicts.

A New Standard for Cybersecurity

Together, the DSX Brain and DIANNA represent a major step forward in enterprise security—moving the field away from slow, reactive models to transparent, prevention-first strategies. With these innovations, Deep Instinct is reshaping how organizations approach cybersecurity in an era of AI-driven threats.

Cyber Technology Insights : Eve Security Raises $3 Million Seed, Unveils Agent-in-the-Loop and Intent-Driven Policy Enforcement

To participate in our interviews, please write to our CyberTech Media Room at sudipto@intentamplify.com