Cybersecurity corporations SecuVista said on the 31st it released PacketCyber v3.0, a next-generation NDR (network detection and response) platform that detects signs of attacks in encrypted communications and identifies threats without decryption.
The company said the new NDR platform can detect signs of attacks within encrypted traffic and analyze massive data at ultra-high speed to track advanced persistent threat (APT) attacks. It said it has implemented technology that overcomes the structural limits of existing security and identifies threats in encrypted communications without decryption.
Chief Executive Jeon Deok-jo said, "To counter the Hacking 3.0 threat armed with artificial intelligence (AI), the network security paradigm must shift from 'packet content analysis' to 'behavior analysis based on communications metadata' in line with the era of hyper-encryption," adding, "The newly released PacketCyber v3.0 will be a groundbreaking turning point that sets a new standard for global NDR technology."
Although more than 90% of internet traffic operates as encrypted packets, the security industry now faces a reality where it is increasingly difficult to look into packet payloads as strong encryption protocols spread. SecuVista equipped PacketCyber v3.0 with cutting-edge communications metadata analysis technology that captures signs of attacks at the stage before an encryption tunnel is formed, in response to these environmental changes.
The new platform can monitor more than 66 threat scenarios in real time by mounting a high-performance engine that stores more than a month of extensive communications history while enabling analysis within seconds.
With the unveiling of PacketCyber v3.0, SecuVista plans to significantly expand research and development (R&D) professionals at its Pangyo technology research center, which it recently expanded and relocated, accelerate the development of high-performance traffic processing and AI-based threat analysis technologies, and begin a full-scale push into overseas markets.