CAP Anomaly Spotter for Security and Much More

Detect Unusual Events

Reduce problems. CAP Anomaly Spotter finds problems in advance: uncover systematic errors and unexpected charges.

Protect Your Infrastructure

CAP Anomaly Spotter helps identifying noteworthy events in huge data sets, e.g., firewall logs: uncover security threats, service failures and other odd events.

No Fingerpints, no Rules

CAP calibrates itself automatically. Rules, fingerprints and blacklists are based on historical information whereas CAP can detect previously unknown events.

Latest News

• Oct 2, 2018

  Potential Vulnerabilities in Mobile Networks - and How AI Can Help

  

  In our previous blog post we laid out some of the attacks that are very much possible in the world of mobile networking. To succeed on these the attacker must conduct some research in advance about the victim. One of the important details to know is it victims International Mobile Subscriber Identity aka. IMSI. It is globaly unique identifier from witch it is possible to discover on which operators network the subscriber is. Next we’ll go over a few means to aquire that information.

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• Aug 29, 2018

  Using AI to Prevent Unauthorized Tracking of Mobile Users

  

  Mobile phones and communications have become ubiquitous in the 21st century and it is being powered by a global network of interconnected carrier networks. This allows users from anywhere to communicate with almost anyone from anywhere else but also presents security and privacy concerns of global scale.

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• Mar 20, 2018

  Rugged Tooling Teams Up With CAP Data to Research Use of AI in Cyber Security

  Business Finland has granted funding for research on the use of AI in anomaly detection to Rugged Tooling. The goal of the research is to leverage Rugged Tooling’s advanced traffic visibility platform, PreScope® and AI algorithms from CAP Data to research the use of machine learning and AI in IP network anomaly detection. The aim is to use to the powerful processing of the PreScope to boost the abilities of CAP Data technology to create a self-adapting cyber security tool.

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