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Exonar (EXONAR)

Street
ZIP
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Phone
Email
Homepage
Organisation Type
Employees

14 West Mills
0
RG14 5HG
United Kingdom
+44 118 907 2595
sean@exonar.com
www.exonar.com
SME
11-25

 

Contact person

Sean Campbell (Client & Partnerships Director)

Field of Activity


3. FORENSIC SCIENCES
» Digital forensics

5. TECHNOLOGIES & MATERIALS
» Detection technologies

6. INFORMATION & COMMUNICATION TECHNOLOGIES
» Cyber security
» Software, Data Processing

Core competencies

Exonar is a leading edge developer of NoSQL intelligent search technologies and has built one of the
first Big Data Cyber Security solutions, Raven.

About Exonar Raven

Find, understand and protect your valuable information at unprecedented speed and scale. Exonar
values your information. We provide big data applications enabling value to be automatically ascribed
to information based on intrinsic understanding of its intent, topic and context.

- Raven finds important, sensitive or compliance driven information across your organisation.
- Regardless of the format, protective marking or mis-classification, Raven can find your most
valuable information even if that information has been changed compared to its original format and
content.
- Raven enables you to locate, identify and secure your important data
- Raven alerts you when valuable information is being moved.
- Raven uses a big data architecture to operate at huge scale across billions of documents and
thousands of servers.
- Raven has a unique 3D UI to enable the display and manipulation of Big Data results
- Raven enables you to remove unwanted or duplicate data to reduce storage costs.

Move information can be seen at:

video.exonar.com
www.exonar.com

Our next development (Black Swan) adds the paradigm of how the information and the systems
containing it are being used. In operation, Black Swan will provide a view of when host use is unusual,
factoring for social, temporal, geospatial or information topic factors. This will provide indications of
insider threats or external actors who have compromised legitimate credentials. We leverage research
in Bayesian Interference Analysis and machine learning to quickly show where unusual patterns of
behaviour are occurring.

H2020 Research Focus


RTD Experience

 Project CoordinatorProject PartnerProject Acronyms


Inserted / Updated
2015-01-28 / 2015-04-27