Systems and methods for anomaly detection using test case signatures

A device, comprising:

• one or more processors configured to:
• receive network data in a format that includes packets generated based on a test case,
• wherein the network data is generated based on network interactions by multiple network elements during the test case;
• utilize a generative artificial intelligence model to generate respective signatures that summarize the packets within a context of the test case;
• group the signatures based on protocols associated with the packets and to generate protocol-specific signature groups;
• analyze each of the protocol-specific signature groups independently to detect one or more anomalies in network elements being tested by the test case;
• aggregate results from analyzing each of the protocol-specific signature groups to determine an overall result for the test case;
• and
• perform one or more actions based on the overall result.

A non-transitory computer-readable medium storing a set of instructions, the set of instructions comprising:

• one or more instructions that, when executed by one or more processors of a device, cause the device to:
• receive network data in a format that includes packets generated based on a test case;
• utilize a generative artificial intelligence model to generate respective signatures that summarize the packets within a context of the test case;
• group the signatures based on protocols associated with the packets and to generate protocol-specific signature groups,
• wherein the protocols include transport protocols and application protocols;
• analyze each of the protocol-specific signature groups independently to detect one or more anomalies in network elements being tested by the test case;
• aggregate results from analyzing each of the protocol-specific signature groups to determine an overall result for the test case;
• and
• perform one or more actions based on the overall result.