Gurucul, a leader in security and fraud analytics technology, today announced its Gurucul Risk Analytics (GRA) platform was selected Cyber Risk/Security Product of the Year by prestigious Risk magazine as part of its 2019 Risk Technology Awards program. Gururcul was recognized for its superior ability to reduce the risk of cyber threats and fraud for financial institutions. An interview with Craig Cooper, Chief Operating Officer for Gurucul, will be included in the next issue of Risk magazine.
“Being recognized as product of the year by Risk magazine provides further validation for what financial institutions tell us — that GRA can detect insider threats and account compromise attacks that evade rules based security products,” said Craig Cooper, COO at Gurucul. “Our advanced analytics and machine learning models risk score threats to reduce false positives and predict fraudulent activity.”
The Gurucul Risk Analytics platform ingests and analyzes massive amounts of structured and unstructured data on user and entity behaviors from virtually any data source on any platform. It then applies identity-centric, model-driven data science, machine learning, anomaly detection and predictive risk-scoring algorithms to identify not just anomalous behavior, but activity indicative of security threats, even stealth threats like malicious insiders, fraud attempts, and account compromise attacks.
Gurucul has the largest machine learning library in the industry with over 1400 pre-packaged models. These include unsupervised, supervised and deep learning algorithms, and versions that are pre-tuned to predict and detect specific threats that impact not only financial institutions, but also healthcare and retail organizations. GRA is the only behavior based security analytics and intelligence solution to be offered as a service through the cloud.
Gurucul is a global cyber security company that is changing the way organizations protect their most valuable assets, data and information from insider and external threats both in the cloud and on premises. Gurucul’s real-time behavior based security analytics and intelligence technology combines machine learning behavior profiling with predictive risk-scoring algorithms to predict, detect and prevent breaches, fraud and insider threats. Gurucul technology is used by Global 1000 companies and government agencies to fight cyber fraud, IP theft and account compromise. The company is based in Los Angeles. To learn more, visit https://gurucul.com/ and follow us on LinkedIn and Twitter.