Computer Security

We work with your cybersecurity infrastructure to protect your data from known and unknown threats in real time before these threats impact critical business operations.

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Machine Learning

Machine Learning tracks trends and develops predictive models in tracking behavior using continuous signal data, activity and context from a variety of sensors.

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Training Courses

Training Coures including outlines and content.

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Computer Security - Defeat Hackers and Intruders. Instantly. Without Errors. Checkmate.

WORKS WITH CAFFE OR TENSORFLOW!

We combine Big Data Analytics, Cloud Computing and Machine Learning to defeat known and unknown threats in real time before these threats impact critical business operations.

Our Computer Security techniques are the most effective technical and procedural countermeasure you can buy. We work in harmony with your current cybersecurity infrastructure to protect your business in real time from known and unknown threats including Replay, Denial of Service, Distributed Denial of Service, Exploits (various types), Worms, Viruses and Zero-Day Attacks – before these threats can impact your critical operations.

Our solutions are compatible with all security solutions and server platforms. Setup is quick and easy. Operation is unobtrusive and works without human intervention. Bandwidth is unconstrained. And, there are no false alarms (false positives and false negatives are eliminated). We use Deep Learning to recognize patterns of ill intent.

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Inference Labs analyzes of big sensor data. all the data. in real time.

STATUS: RESEARCH PHASE

Industry & academia have fantasized about this for a long time. We continuously stores, monitors and analyzes a wide range of rich signal data together with activity and context.

Inference Labs is an environment that focuses on the continuous store, monitor and analysis of a wide range of rich signal data together with activity and context from a variety of sensors. We use forward and backward propagation in developing networks and models. We use Neural Networks for image processing as well as analysis of scaler data.

Inferene Lab solutions become correspondingly “smarter” as additional data is received – continually yielding more and more valuable output and further improving its clinical analytics capabilities.

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