House Committee on Homeland Security Report, Boston Marathon Bombing
Enviado por John0099 • 22 de Marzo de 2018 • 2.136 Palabras (9 Páginas) • 261 Visitas
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Collaboration
Time and again, reports following major domestic terror incidents bemoan the lack of collaboration between agencies and highlight the fact that in most cases collectively the agencies had enough information to possibly prevent the incident, if only they had shared it earlier. However, collaboration between agencies is easier said than done, as any collaboration effort would have to contend with different classification levels, operational constructs, standards and information models.
Many commercial customers struggle with implementing a ‘single view of customer’, a single definition of what attributes a customer will have and how/where to store it. For intelligence organisations creating a ‘single view of suspect’ is difficult, particularly when it comes to collaborating between agencies. Whilst this is an admirable goal, it requires significant policy, logistical and technical work. A better solution is to allow organisations to share their data without prescribing a common standard. With organisations able to securely view each others data (when permission is given) they can begin to build to a common information model, but still be able to action intelligence.
Application Diversity
Whilst Social Intelligence Analysis is relatively new, collecting, analyzing and exploiting intelligence data is not. Most organisations have already invested tremendous amounts in COTS and bespoke intelligence solutions. With the need for more collaboration and sharing of intelligence between organisations the inevitable questions will come – “Whose application do we use?”. The problem with choosing one single applications is that no single app can:
- Provide all the capabilities required of all users for all possible use cases AND
- Meet all the performance, security, legislative and integration requirements AND
- Move fast enough to keep up with the latest technology trends and meet changing user demands
The best approach is to provide a platform of capabilities that manage the core requirements of social intelligence analysis – collection, enrichment, storage, security and exploitation – and then allow any application to work with it. This allows application developers to focus on their user requirements and the latest technological innovations and allow the platform to focus on managing the scale of data in a secure and efficient manner.
Oracle Social Intelligence Pipeline
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To handle the volume of not just Social Media, but also all other types of raw intelligence data an Organistion needs a solution that can handle all the challenges mentioned in this white paper. The Oracle Social Intelligence Pipeline provides such a platform upon which actionable intelligence can be performed. Acting as a pipeline it enables Organisation’s to explore their data, enrich it with internal and external sources and exploit that data for later action.
The Social Intelligence Pipeline is capable of meeting the challenges that Social Intelligence Analysis presents to Intelligence Organisations. As a combination of truly advanced, industry-leading Oracle products it is best placed to provide a secure, reliable and flexible platform for Organisations to build upon.
- Scale: Oracle’s ExaData platform combined Oracle Spatial and Graph technology has been shown to index over 1 Trillion facts with sub-second query times. This is the fastest benchmark in the industry. With 1 Trillion facts you could store:
- 1000 Tweets for every one of the 1 BillionTwitter users
- 770 facts about every one of the 1.3 Billion Facebook users
- 400 metabolic readings for each of the 2.5 Billion heart beats over an average human life time
- 10 facts about each of the 107 Billion people who have ever lived
- Understanding: Oracle Spatial and Graph technology is able to represent social media data as a network of relationships, which allows a far easier visualisation and analytics platform from which to action intelligence. Combined with advanced natural language processing and linguistic sentiment analysis technology the platform is able to drive meaning and understanding behind messages and quickly filter message of relevance for end-users
- Security: The pipeline is able to securely store data of different classification levels in the one location without users being able to access data they are not privileged to access. This removes the need to maintain multiple systems across multiple classification domains and simplifies the management of data across those domains. The Oracle database is the only database to be Director of Central Intelligence Directive (DCID) 6/3 compliant (dealing with ‘Protecting Sensitive Compartmented Information Within Information Systems’).
- Collaboration: The platform provides a way to host all information, but allow users to control who can see what information. In turn the platform provides a variety of tools for users to exploit and action their findings.
- Application Diversity: Oracle provides best of breed applications in many areas including analysis, case management, workflow and others. These applications can be used as is or to augment the capabilities of existing applications. By not being prescriptive Organisations, can choose the right tool for the right job.
For more information about how Oracle can help your organisation drive benefit from Social Intelligence, please contact your Oracle account team.
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Oracle Corporation
Level 3, 243 Northbourne Ave
Lyneham, ACT 2602
Phone: +61 2 6206 5000
Fax: +61 2 6206 5002
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