Industry’s first real-time deep learning platform
Cybersecurity has become an arms race
Hackers have weaponized AI to accelerate the distribution and creation of threats. Threats are proliferating, at a rate of more than 350,000 new variants a day. But, current signature and sandbox-based threat defenses are too reactive and manual in nature. Analytics solutions that look for symptoms post-compromise trigger too many false positives. Our unique approach harnesses deep learning to deliver the speed and efficacy defenders need today in an autonomous manner– no baselining or daily updates required.
Why deep learning for cybersecurity?
Deep learning is a subset of machine learning that uses multi-layered artificial neural networks to learn data representation. Deep learning algorithms can build more effective models from large amounts of data compared to traditional machine learning algorithms.
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Blue Hexagon Real-time Deep Learning platform
Our platform is a deep-learning powered threat detection solution for network traffic— whether deployment is on-premises, in the cloud, or in hybrid deployments. We use end-to-end AI for data curation, threat detection, attribution and correlation.
There are two components to our platform — our security cloud and our appliances.
Blue Hexagon Cloud
A single dashboard provides complete management of all Blue Hexagon deployments, along with information on daily threats detected. Using our proprietary HexNet™ architecture, we continuously validate and train deep learning models on terabytes of global threat data.
Blue Hexagon Appliances
Optimized deep learning models are deployed on premises or in the cloud to perform deep learning inspection. Both hardware and virtual appliances are supported. Our deep learning models are optimized to deliver threat verdict in less than a second on 10G traffic.
How It Works
We’ve designed our Real-time Deep Learning Platform to deliver speed of detection, efficacy and coverage that sets a new standard for cyberdefense.
- Training – We train our neural networks with global threat data that we’ve curated carefully via threat repositories, dark web, our deployments and from partners. Just like layers of neural networks can recognize your image in photos, our proprietary architecture of neural networks can identify threats in both payloads and headers.
- Validation – Every day, Blue Hexagon Labs validates the accuracy of our models with new threats in the wild. Our neural networks can identify a wide range of threats — file and fileless malware, exploits, C2 communications, malicious domains across Windows, Android, Linux platforms. The good news? Deep learning models don’t need to be updated daily or weekly like IPS signatures, bringing operational efficiencies.
- Detect and orchestrate – Our objective is to stop an attack as quickly as possible. Because our advantage is speed and efficacy of threat detection, we orchestrate prevention to all existing security products to stop the propagation as quickly as possible.