Abstract: A Structured Query Language (SQL) injection detector extracts metadata of an SQL query to be submitted to an SQL database and identifies a related database schema of the SQL database. The metadata and the database schema are included in a prompt that is input to a Large Language Model (LLM), which generates an output that is responsive to the prompt. A response action is performed responsive to detecting from the output of the LLM that the SQL query is indicative of an SQL injection attack.

Abstract: An authentication system includes: a certificate authority; a central control system; a group including an unmanned vehicle that is a master vehicle and an unmanned vehicle that is a slave vehicle; a management system; and an external system. The central control system includes a first authentication information transmitting unit that transmits, to the master vehicle, first authentication information received from the certificate authority. The master vehicle includes an authentication unit that executes authentication with the slave vehicle belonging to the same group, and a second authentication information transmitting unit that transmits second authentication information including a first token with an expiration date and the first authentication information to the authenticated slave vehicle.

Abstract: Systems and methods for real-time monitoring, adjustment, and safeguarding of generative artificial intelligence (“AI”) output. The systems and methods may include a security risk assessment algorithm rules engine (“rules engine”). The rules engine may include logic-based, language-encoded, rules for weighting queries involving security risks and for flagging security risks comprising queries and outputs (“rules”). The systems and methods may include an internal compliance database. The internal compliance database may include flagged queries, flagged outputs, and the rules. The systems and methods may include an adaptive feedback loop mechanism. The systems and methods may include a generative, pre-trained, transformer (“GPT”) processor. The GPT processor may receive a plurality of queries from a plurality of users. The GPT processor may forward the plurality of queries to the rules engine for evaluation.