OMNI-CYBERSECURITY PLATFORM POWERED BY DEEP LEARNING
HOW DOES DEEP INSTINCT USE DEEP LEARNING TO PROTECT AGAINST ZERO-DAY THREATS?
Using deep learning, provides the ability to identify even the slightest mutations and evasion techniques, thus detect and prevent Zero-Days and APT in real-time. Deep Instinct’s solution is based on a two- phase approach, similar to way that the brain learns and then acts in an instinctive mode:
Training phase: The training process is performed with hundreds of millions of malicious and legitimate files that takes place at Deep Instinct’s headquarters. The output of this process is the prediction model.
Prediction phase: Once a device has the deep learning prediction model (D-Brain), it becomes an autonomous analysis entity, allowing it to predict in real-time malicious intents and prevent them at a pre-execution level. There is no need for any supplementary analysis in a remote server or sandboxing appliance.
The entire analysis and the determination of whether it is malicious or benign is done on the device within milliseconds.
WHAT IS DEEP LEARNING?
Deep learning is the most advanced subset of artificial intelligence. Also known as “deep neural networks,” it takes inspiration from how the human brain works. Namely, the more data that is fed to the machine the better it is at intuitively understanding the meaning of new data – and, therefore, does not require a (human) expert to help it understand the significance of new input.
FROM AV TO DEEP LEARNING: THE EVOLUTION OF ENDPOINT & MOBILE SECURITY
Antivirus based solutions: AV software isolates suspicious files based on existing file signatures, heuristic analysis and file reputation . This is only effective against known malicious threats and vulnerabilities.
Machine Learning : AI technologies are maturing, we enter the era of Machine Learning Endpoint protection, detection & response made possible by machine learning based static analysis, heuristic based behavioral analysis and memory protection – not optimal: Machine Learning systems rely on feature extractions, limited by the knowledge of the security expert, have low detection rates of new malware and high false-positive rates.
Deep Learning: Harnessing the power of Deep Learning results in fully autonomous system that can learn from any raw data, not limited by a experts’ technological knowledge and represent a quantum leap in cyber security: Autonomous and advanced endpoint protection that provides prevention, detection and response with highest detection rates of unknown malware, lowest false-positive rate, zero-time.
Why not book a demo today.
To understand how you can thoroughly protect your enterprise’s entire assets, against unknown and known threats, on any infrastructure, book your private demo with a Deep Instinct™ expert consultant