In 3 bullets, summarize why this product or service is different from the competition and deserves recognition:

There is a high barrier of entry to apply deep learning to cybersecurity because it needs a dedicated framework. Only six businesses in the world own original deep learning frameworks and Deep Instinct is one. Our deep learning framework is what makes possible the fastest and most accurate prevention of ransomware and other known and unknown malware - before it executes on the endpoint.
While many companies tout machine learning (ML), ML is used after the threat has been executed and relies on behavioral detection to stop the threat before damage is done. EDR, for example, requires a cloud check for threat intelligence, slowing down detection and providing attackers with dwell time to execute their attack. Because of DL, Deep Instinct’s static analysis does not require threat intelligence feeds (no cloud checks) to prevent malware prior to it ever reaching execution on the endpoint by inherently understanding the characteristics of what is a malicious vs benign file. During a recent REvil attack, Deep Instinct protected over 29,000 systems across 2,000+ clients that were vulnerable to the zero-day vulnerability in Kaseya and zero infections were reported across all customers. Deep Instinct only requires 2 to 3 updates per year to stop the latest unknown threats. In this case, the Deep Instinct “brain” that was in use was created approximately 8 months prior and still prevented 100% of the attack.
Deep Instinct prevents 99% of ransomware, zero day, known and unknown threats in less than 20 milliseconds (750x faster than ransomware can encrypt). We provide customers with a $3M ransomware warranty and a false positive guarantee of <0.1% at a time when the industry-wide false positive rate sits around 26%. Deep Instinct frees up approximately 25% of a SOC analyst's time to focus patching and other critical business priorities.