Topsec Database Auditing and Protection System by Topsec Network Security is a professional database security protection product designed to strictly control database operation behaviors to prevent sensitive data leakage and protect database security. It relies on an intelligent database monitoring engine, supporting recognition, parsing, control, and auditing of mainstream database protocols. It combines five knowledge bases: attack detection, zombie detection, application recognition, database vulnerabilities, and SQL error codes, enabling the identification and prevention of high-risk internal violations while also defending against external attacks. It supports over 40 mainstream database protocols, including both domestic and foreign relational and non-relational databases. It implements comprehensive auditing of database operation behaviors with over 70 dimensions, including access time, source and destination IPs, client programs, database usernames, SQL statements, return codes, and result sets. It identifies and parses bidirectional data packets to extract basic information and database protocol elements. It allows for fine-grained access behavior control based on business requirements, including over 30 control elements such as client IP, database IP, database name, client program name, and database username. Control rules can be formed using logical operations to precisely manage database operation behaviors, quickly block risky operations, and enhance internal supervision and management capabilities. It provides various statistical analysis charts showing the trends, distribution, and alert status of risk events, helping customers understand data security situations and identify potential risks for early judgment and response. It is based on high-performance storage databases and self-developed efficient retrieval algorithms, optimizing underlying data structures. It supports multi-dimensional custom queries with instant results for massive data retrieval. It integrates an AI assistant capable of analyzing vast amounts of data and interacting intelligently. Users can input security concerns in natural language, and the AI can efficiently understand and output results in charts, tables, and text, significantly reducing complex query and data analysis tasks.
