DB Networks, an innovator of database cybersecurity through deep protocol inspection, machine learning, and behavioral analysis, announced today the expansion of their patent portfolio with the issuance of a new patent by the US Patent Office. This latest patent covers the identification of database threats and compromised credentials through machine learning and behavioral modeling of Layer 7 database traffic.
The patent for invention number 9,185,125 describes the application of machine learning to database client traffic to create a unique behavioral model. A key element of a suite of algorithms then analyzes and scores the Layer 7 traffic to determine the likelihood of a threat. This technique immediately identifies database infrastructure anomalies, performance issues, compromised credentials, and security threats. Previously these critical database infrastructure issues were opaque to network administrators and security operations personnel.
“Our unique combination of deep Layer 7 protocol inspection and behavioral modeling form critical core technologies that offer new database infrastructure insights for our partners, governments, and enterprise customers – including the world’s largest financial service companies,” said DB Networks’ Chairman and CEO Brett Helm. “Our ever increasing patent portfolio serves to highlight DB Networks innovation in database cybersecurity.”
DB Networks “shines a light” on the database infrastructure. Today’s information security environment demands real-time detection of advanced threats including the illusive insider threat. DB Networks offers new insights into the communications occurring in database infrastructure including immediately identifying external database attacks, compromised credentials, insider threats, undocumented databases, and data segmentation violations.