Intelligence and law enforcement agencies experience an enormous pressure to identify threats across multiple data sources. These Defense and Security organizations require real-time information at their fingertips for quick analysis and decision making.
Here are 4 ways Big Data Analytics can transform intelligence data into actionable insights:
- Monitoring of Social Media interactions
Intelligence agencies must anticipate any kind of cybercrime and attacks. Social media monitoring enables them to collect and analyze relevant and targeted information relating to counter-terrorism and criminal networks. Reacting at the right time is a major challenge for these organizations that use OSINT (Open-Source Intelligence) to find, select and acquire information from various sources online (social networks, forums, blogs, websites, videos etc.) in order to get real-time insight on potential threats, generate reports and prevent any kind of attacks. In response to this challenge, intelligence agencies must invest in a cutting-edge technology that brings together data search and collection across multiple online sources and a deep content analytics of unstructured textual data that are flooding the web.
- Detection of money laundering, fraud & terrorist financing
Money laundering is a key component of most organized crime. Terrorist networks continue to be funded through money laundering schemes that need to be identified. A powerful Big Data Search and Analytics platform enables agents to pinpoint suspect money transfers, accounts and networks of individuals involved in sophisticated money laundering schemes through a highly dynamic approach to relationship mapping.
- Identify and correlate threats & cyberattacks
Investigators face the daunting task to accurately identify fraud and cyberattacks across big data volumes within shrinking windows of time. To prevent threats and cyberattacks before they happen, intelligence agencies must be able to deliver dynamic relationship mapping to connect people, bank accounts, credit card numbers, financial transactions, and many other data types. They need a scalable platform based on advanced Search and Natural Language Processing capabilities. Analysts uncover patterns in behavior using a combination of interactive charts, timeline analyses, tables and relationship maps.
- Solve crime cases with powerful search capabilities
Law enforcement professionals need effective crime analysis tools to easily reveal networks of criminal activity. The sophistication of criminal behavior has increased across virtually all areas, including cybercrime, identity theft, gang activity, fraud and narcotics. These tools must provide the ability to search and analyze a wide range of sources of both structured and unstructured data to gain meaningful insights using connections between people, phone calls, license plates, addresses, properties or other forms of data.
To learn more – please download the brochure “Sinequa for Defense and Security”.