Deep Instinct Introduces DIANNA, the First Generative AI-Powered Cybersecurity Assistant to Provide Expert-Level Malware Analysis for Unknown Threats
Deep Instinct, the prevention-first cybersecurity company that stops unknown malware pre-execution with a purpose-built, AI-based deep learning (DL) framework, today announced the launch of Deep Instinct’s Artificial Neural Network Assistant (DIANNA) , the industry’s first AI-based cybersecurity companion that provides explainability into unknown threats.
- Deep Instinct, the prevention-first cybersecurity company that stops unknown malware pre-execution with a purpose-built, AI-based deep learning (DL) framework, today announced the launch of Deep Instinct’s Artificial Neural Network Assistant (DIANNA) , the industry’s first AI-based cybersecurity companion that provides explainability into unknown threats.
- DIANNA enhances Deep Instinct's prevention-first approach to cybersecurity through its expert-grade static malware analysis, something no other solution on the market can replicate.
- It provides deep analysis into all attacks, including never-before-seen threats, revealing the techniques employed and behaviors of files to provide a comprehensive narrative that facilitates understanding and mitigation of threats before breach.
- Deep Instinct harnesses generative AI to equip DIANNA with the collective knowledge of countless cybersecurity experts, effectively embedded within the LLM, to provide in-depth malware analysis of unknown files and identify malicious intent with unparalleled accuracy.