
Threat Detection
Everything you need for threat detection
We use pattern, behaviour, statistical and anomaly-based detections to keep your digital estate safe.
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Threat Detection
We use pattern, behaviour, statistical and anomaly-based detections to keep your digital estate safe.
Arrange a demoSenseOn’s high-quality rules and signatures, or pattern matching analytics, are a powerful tool for threat detection. Driven by threat intelligence, we have designed a comprehensive library of detections which are deployed “live” into the platform at regular intervals.
SenseOn has developed a method of modelling typical user and device behaviour, identifying instances that do not conform to established baselines. We have designed a unique method of anomaly detection and classification that starts with unsupervised statistical learning, performs autonomous class labelling, and finally builds a supervised classification engine.
SenseOn uses an array of deception techniques to prevent threats from entering your digital estate. Honey tokens and honey files are one method used by the SenseOn platform to detect threats such as CryptoLocker ransomware.
SenseOn were awarded the WEF Technology Pioneer Award in 2021.
View all awardsExplore our collection of eBooks, webinars, articles, and more to help you maximize your understanding of emerging threats, adversary techniques and how to detect cyber attacks.
Visit resource hubFind out how you can protect your entire organization at the click of a button with our rapidly deployed, lightweight software solution.
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