Security and Intelligence

Security and intelligence transcend geographical boundaries and organizational silos, encompassing a diverse spectrum of stakeholders, including governments, corporations, law enforcement agencies, intelligence services, and international organizations.

GraphPolaris approaches security and intelligence challenges as teamwork, identifying insights and risks resident in the eco-system and provide next-best-actions based on mitigation and prediction scenarios.

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Fund Class Integration

we can model relationships between traditional and alternative fund classes. By analyzing these interconnected datasets with graph analytics, fund managers can integrate alternative investments into their portfolios, identify opportunities for diversification, and enhance risk-adjusted returns. We can help visualize correlations between different asset classes, identify portfolio gaps, optimize fund allocation and yield.

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Fraud Detection and Prevention

we provide deep insight in the contextual relationships between policyholders, claims, and other entities involved in insurance transactions. By analyzing these networks with graph analytics, insurers and auditing bodies can detect patterns indicative of fraudulent activities such as coordinated fraud rings, exaggerated claims, and identity theft. Graph visualization techniques can help investigators visualize and understand complex fraud networks more effectively.

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Anomaly Detection and Intelligence

Graph databases can model relationships between various entities in the networked landscape, such as IP addresses, domains, users, devices, and malware. By integrating threat intelligence feeds, logs, and network traffic data into a graph database, organizations can identify patterns and anomalies indicative of cyber threats such as malware infections, phishing campaigns, and insider threats. Graph analytics can analyze these interconnected datasets to detect emerging threats, predict attack vectors, and prioritize response efforts.

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Threat Exploration

GraphPolaris is able to mine large amounts of historical data on security events, threat intelligence reports, and attack tactics. By querying and exploring this data with graph analytics, security analysts can proactively search for indicators of compromise, new attack patterns, or emerging threat actors. Graph visualization techniques can help analysts visualize the relationships between different security events, identify commonalities, and uncover hidden patterns indicative of potential threats.