FICO's Cyber Security Analytics Solution to Detect and Preclude Malicious Network Activity

By CIOReview | Friday, February 20, 2015
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SAN JOSE, CA: Predictive analytics and decision management software provider – FICO, announces Cyber Security Analytics solution to detect emerging and evolving threats based on self-learning approaches.

Unlike Signature-based threat detection solution that depends on the historical batched data and consumes more time for identifying the theft, FICO Cyber Analytics comes with new enhanced features in finding threats and stopping them.

FICO makes use of the self-learning analytics and anomaly detection techniques to monitor activity across networks and real-time data streams in identifying threats as they occur. These analytics immediately detect malicious activity and give context to the emerging threat and minimize false-positive alerts. This enables users to share data securely and refined through consortium insights without direct exchange of sensitive information.

“Current cyber security solutions leave a wide gap in coverage. FICO will fill that gap, using our arsenal of streaming analytic technologies to detect and stop malicious network activity right at the point of inception,” says Doug Clare, VP for cyber security solutions, FICO.

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