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Addressing the Challenges of Homeland Security

Defense and homeland security agencies are inundated with an endless stream of random data, some of it structured (numerical) and some of it unstructured (text, sound and images). The challenge is finding the critical pieces of information amidst all the “noise” – and responding quickly and effectively, even as huge volumes of data and events continue to unfold. Data collection mechanisms and visualization technologies have traditionally been deployed to reason with the data, but they cannot handle the volume and variety of random data – or provide the real-time monitoring required to identify threats and take action immediately.

Cognika Solution

Cognika’s automated monitoring and prediction solution — Cognika ESP — is ideal for defense and homeland security applications. The product’s underlying framework combines advanced machine learning (AI) technology with unique algorithms that emulate human learning, memory and predictive reasoning to generate hierarchical Bayesian models from structured and unstructured information. From these data sources, the system automatically:

• Identifies patterns and sequences in the data
• Reduces “noise” and focuses on critical data points
• Enables real-time monitoring and alert systems

What’s more, the Cognika ESP smart analytics engine continues to “learn” over time, making higher confidence predictions (inferences) as new data arrives.

Potential applications in the defense and homeland security area include:

• Border/Port Security: Data fusion from multiple sensors (e.g. X-ray, radiation) into common operating picture
• Command and Control: Automated, dynamic, real-time data processing with analytic capabilities for structured, unstructured and streaming data
• Infrastructure Protection: Analytics tools to quantify interdependencies and cascading consequences to manage disruptions for critical infrastructure
• Non-invasive Monitoring: Identifying and tracking unknown or potential threats from individual at key checkpoints. Real-time detection of deception or hostile intent through integrated system of machine-human methods.
• Anti-Terrorism Surveillance: Systematic collection and analysis of information related to understanding terrorist group intent
• First Responder Systems: Providing all relevant information, predictions and recommendations in a dynamic real-time environment