GREYCORTEX launched a new 2.3 version MENDEL Analyst. It added standardized support of NetFlow and IPFIX, new ways of data presentation and several performance improvements and more.
- New tool in GUI “Network Analysis” – user defined aggregated statistics for better analysis of network traffic and security incidents
- Standardized NetFlow with IPFIX fully supported
- New user account administration page
- Changelog page with history and enhanced updating using RPM packaging system
- Major performance improvements of signature-based detection engine
- Improved DNS cache with TTL support for better hostname resolution
- Improved algorithm for matching hosts with Active Directory users
- Inserted GUI URLs kept after login
- Improved export of charts
- Enhanced system log management with filtering by time and a system component
About Version 2 Limited
Version 2 Limited is one of the most dynamic IT companies in Asia. The company develops and distributes IT products for Internet and IP-based networks, including communication systems, Internet software, security, network, and media products. Through an extensive network of channels, point of sales, resellers, and partnership companies, Version 2 Limited offers quality products and services which are highly acclaimed in the market. Its customers cover a wide spectrum which include Global 1000 enterprises, regional listed companies, public utilities, Government, a vast number of successful SMEs, and consumers in various Asian cities.
GREYCORTEX uses advanced artificial intelligence, machine learning, and data mining methods to help organizations make their IT operations secure and reliable.
MENDEL, GREYCORTEX’s network traffic analysis solution, helps corporations, governments, and the critical infrastructure sector protect their futures by detecting cyber threats to sensitive data, networks, trade secrets, and reputations, which other network security products miss.
MENDEL is based on 10 years of extensive academic research and is designed using the same technology which was successful in four US-based NIST Challenges.