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Ymon’s service center starts using innovative technology developed by the Finnish CAP Data Technologies in order to detect abnormal events in information security.

CAP Anomaly Spotter improves detection and response capabilites in order to find potential cybersecurity threats at a service center built by Ymon, a specialist company in networking and information security. The new tool allows Ymon’s situational awareness service to detect hidden abnormalities and to monitor information networks in unprecedented detail.

Normally, maintenance of situational awareness requires creation and management of a multitude of rules to detect the desired events. The new technology allows detection of security events using self-learning artificial intelligence without the need...

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Behavioral Analytics For Iam And Rim

Jun 21, 2016

tuomo-sipola

Read about CAP Anomaly Spotter

Download the free PDF Brochure and read more about the possibilities of CAP Anomaly Spotter for identity and access management (IAM).

Download the free PDF Brochure and read more about behavioral analytics for remote infrastructure monitoring (RIM).

Benefits of CAP Anomaly Spotter

  • Finds unusual behavior.
  • Detects and highlights the most noteworthy anomalous events and incidents using advanced machine learning analytics..
  • Cuts the cost of RIM operations by adding predictve analysis.

About CAP Data Technologies<...

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Read about CAP Anomaly Spotter

Download the free PDF Brochure and read more about the possibilities of Anomaly Detection for incident response in IT security.

Benefits of CAP Anomaly Spotter

  • Cuts the time of the triage phase in IT incident response operations.
  • Makes possible quicker sanitation operations and thus limits the damage caused by the incident.
  • Works seamlessly with other tools and processes used in incident response operations.
  • Improves efficiency and decreases the cost of incident operations

About CAP Data Technologies

CAP Data Technologies is a Finnish technology startup providing data analytics...

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Read about CAP Anomaly Spotter

Download the free PDF Brochure and read more about the possibilities of Anomaly Detection for Security Operation Centers and MSSPs.

Benefits of CAP Anomaly Spotter

  • Detects and highlights the most noteworthy anomalous events and incidents using advanced machine learning analytics.
  • Improves efficiency and decreases the cost of SOC operations by automating the detection of the most noteworthy events in the system.
  • Improves reactiveness to security threats and system failures.
  • Modular integration to the SIEM platform is cost-effective and flexible. CAP Anomaly Spotter operates in parallel, and does not affect t...

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Cap Anomaly Spotter Rsyslog Compatible

Apr 14, 2016

tuomo-sipola

CAP Anomaly Spotter is now Rsyslog compatible. It is possible to input log lines from Rsyslog sources to CAP Anomaly Spotter and automatically search through vast quantities of log data to identify unusual events in your logs.

Rsyslog is an open source tool that enables logging from many sources, transformations and output to useful destinations.

Contact us for more information about using CAP Anomaly Spotter on-site installation with Rsyslog or other logging platforms.

Tuomo Sipola, CEO
tuomo.sipola@capdatatechnologies.com
+358 40 753 2169

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CAP Data Technologies has been invited to join Finnish Information Security Cluster, FISC. FISC is an organization established in 2012 by major Finnish information security companies to promote their business and operations in national and international context. Its members are industrial or research organisation providing products and services for various needs in information and cyber security. Most of the member companies operate on international markets.

CAP provides data analytics solutions that reveal unknown unknowns in the data. Our current application sectors include cyber security, financial services and DevOps. The essential element of CAP technology is the ability to detect anomalies in the monitored data without using any pre-set...

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Finnish data analytics startup CAP Data Technologies has secured a €145,000 ($163,000) seed investment round from a group of angel investors. With this boost, the team will continue to develop data analysis services for the global Big Data market.

In this context, business veteran Risto Valtakari complements the board of directors. He brings to CAP Data Technologies his long experience in business development, operations and enterprise IT service sales.

The following business experts have accepted to act as advisors to the management:

  • Mr. Lennu Keinänen, a serial entrepreneur with solid experience in B2B software startups. Lennu's latest successful exit was concluded late last year when Paytrail was acquired by Nets.
  • Mr. Mikko Raunio, who has a l...

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CAP has opened a very simple trial feature where you can get a hands-on touch on what CAP is all about. Click and run, no registration is needed nor disclosing anything about yourself before testing. You may test one of the data-sets we have made available as examples, or you may upload your own data and explore what happens. So, what sort of data can you test?

The primarily use-case is detecting unknown anomalies in server log files. CAP filters out events and lines that do not belong to normal operation. Moreover, you can test CAP with any line-based text file – it may be free text or a numeric excel file saved in .txt format or something that we have not yet figured out ourselves!

CAP is a Big Data analytics service that finds anomalies in the data. Anomaly is de...

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You have a text file with too many lines in it. It would take forever to skim through that file but you need to find strange lines differing from the rest of the file. This article describes how you can detect those anomalies from the file.

For testing purposes you can copy the following lines to a file called access.log.

192.168.0.2 - - [11/May/2014:08:01:19 -0700] "GET /cake.jpg HTTP/1.0" 200 3330 "http://www.example.com/start.html" "Mozilla/5.0 (Macintosh; Intel Mac OS X 10_8_4) AppleWebKit/536.30.1 (KHTML, like Gecko) Version/6.0.5 Safari/536.30.1" "www.example.com"
192.168.0.3 - - [11/May/2014:08:03:01 -0700] "GET /cat.jpg HTTP/1.0" 200 3330 "http://www.example.com/start.html" "Mozilla/5.0 (Macintosh; Intel Mac OS X 10_8_4) AppleWebKit/536.30.1 (KHTML, lik...

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CAP adds machine learning into Big Data analytics. At SLUSH (www.slush.org), start-up event in Helsinki on 18 - 19 November, CAP introduces their first product version of server log file analytics service.

Target customers of CAP are IT professionals in cybersecurity, devops and sysadmin functions who ensure the continuity, effectiveness and safety of service operation.

Every network server generates continuously massive amounts of log information about the operation of the service. This data remains mostly unused since it is difficult to detect what events are of any importance for system operations. CAP differentiates itself with the ability to detect previously unknown oddities. Consequently, the user does not ne...

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