Cyber Security

At a speed of light

Machine generated log data is growing exponentially making it extremely hard for cybersecurity software to provide real-time defense for the infrastructure. The software needs to analyze Terabytes of data every day generated by servers, applications, and firewalls. With Grovf massively parallel FPGA cores companies analyze and prevent the cyber threat 15x faster, saving critical time for organizations to detect a penetration and counteract almost in real-time. 

 


Security Log Analytics

Security Log Analytics

Databases provide a wealth of functionality to a wide range of applications. Yet, there are tasks for which they are less than optimal, for instance when processing becomes more complex or the data is less structured. As data is exploding exponentially only CPU based Cybersecurity brings dual challenge of low-latency detection and remediation of advanced threats, and batch analysis of log data from servers, firewalls, applications and security systems. Considering how fast new threats and attacks emerge, Big Data performance and the use of new types of software and hardware accelerators is becoming more


Financial Fraud/Risk Analytics

Deep packet inspection (DPI) is an advanced method of examining and managing network traffic. It is a form of packet filtering that locates, identifies, classifies, reroutes or blocks packets with specific data or code payloads that conventional packet filtering, which Cybersecurity brings dual challenge of low-latency detection and remediation of advanced threats, and batch analysis of log data from servers, firewalls, applications and security systems. Considering how fast new threats and attacks emerge, Big Data performance and the use of new types of software and hardware accelerators is becoming more

Financial Fraud/Risk Analytics