Abstract: A system is provided for computer program code issue detection and resolution using an automated progressive code quality engine. In particular, the system may automatically detect issues with computer program code automatically resolve the issues detected on any computing system within a network environment. The system may comprise a progressive code quality engine configured to use machine learning algorithms to adaptively detect code quality issues and a rule imposition engine that automatically resolves the issues detected by the code quality engine. The system may further comprise one or more edge device-based quality enablers that may coordinate the resolution of code quality issues with a cloud-based master controller. In this way, the system provides a seamless and dynamic end-to-end solution for addressing code quality issues.

Abstract: A system is provided for computer program code issue detection and resolution using an automated progressive code quality engine. In particular, the system may automatically detect issues with computer program code automatically resolve the issues detected on any computing system within a network environment. The system may comprise a progressive code quality engine configured to use machine learning algorithms to adaptively detect code quality issues and a rule imposition engine that automatically resolves the issues detected by the code quality engine. The system may further comprise one or more edge device-based quality enablers that may coordinate the resolution of code quality issues with a cloud-based master controller. In this way, the system provides a seamless and dynamic end-to-end solution for addressing code quality issues.

Abstract: A security tool analyzes database queries of internal users to determine if these users accessed information in a manner that deviates from established and/or expected access patterns. The security tool can also analyze the behavior of a group of internal users to determine whether that behavior deviates from expected access patterns. The security tool then determines security risks corresponding to the users' access. If any of the security risks exceeds a threshold, then the security tool takes remedial action (e.g., preventing one or more users from accessing information). In this manner, internal data breaches can be detected and prevented. Additionally, in certain embodiments, an internal data breach can be prevented before the internal data breach even occurs.

Abstract: A security tool analyzes database queries of internal users to determine if these users accessed information in a manner that deviates from established and/or expected access patterns. The security tool can also analyze the behavior of a group of internal users to determine whether that behavior deviates from expected access patterns. The security tool then determines security risks corresponding to the users' access. If any of the security risks exceeds a threshold, then the security tool takes remedial action (e.g., preventing one or more users from accessing information). In this manner, internal data breaches can be detected and prevented. Additionally, in certain embodiments, an internal data breach can be prevented before the internal data breach even occurs.