Deep Instinct
No other endpoint protection is as sophisticated as Deep Instinct. Period.
Deep Instinct takes a prevention-first approach to stopping ransomware and other malware using the world’s first and only purpose-built, deep learning cybersecurity framework.
Deep Instinct prevents unknown threats faster and with greater efficacy than any other EPP and EDR solution, ensuring malware never executes in your environment.
Introducing to the ultimate Endpoint Security platform
How can you prepare against unknown malware which was just created?
Client Testimonial
Deep Instinct Powered by Deep Learning
Deep Instinct is the only cybersecurity company leveraging a deep learning-based neural network that autonomously learns and dynamically improves as it’s fed more data.
Deep learning is the most advanced form of AI, inspired by the brain’s ability to think and learn over time. Our vast neural network has been trained for more than five years on hundreds of millions of files to autonomously prevent threats.
Deep Learning differs from basic machine learning in several critical ways:-
Basic machine learning requires a human domain expert, making it slow and prone to error, and is only trained on 2% of available data.
Deep learning trains on 100% of available raw data and can make non-linear correlations of the data automatically. With deep learning-based neural networks specifically architected for cybersecurity, decisions are made faster, more accurately, and with much greater efficacy.
A deep learning model is self-sufficient and does not require frequent cloud updates or constant human intervention. Ultimately, deep learning is what will enable organizations to make prevention a reality, predicting and stopping threats before they execute and compromise your environment.
5 things you should know about Deep Learning Cybersecurity
Deep Instinct’s multi layer protection
Product Differentiators
Integrates with existing security solutions to improve efficiency, effectiveness, and focus on what really matters – stopping attacks.
Reduces burden on security teams to sift through false positives.
Improves threat hunting capabilities with high-fidelity alerts and suspicious activity rating.