Abstract: Described screenshot verification systems and methods for automatically verifying the integrity of a backup image or other process-of-interest using a screenshot verification system, as well as disaster recovery systems including said systems and performing said methods. In accordance with various aspects of the present disclosure, a virtual machine is booted and screenshots of the boot process are taken, which are used by a trained model, such as a convolutional neural network, to determine a boot state consistency. The systems and methods described deliver over 99% accuracy and do not involve regular expression analysis typical of conventional methods.

Abstract: Described screenshot verification systems and methods for automatically verifying the integrity of a backup image or other process-of-interest using a screenshot verification system, as well as disaster recovery systems including said systems and performing said methods. In accordance with various aspects of the present disclosure, a virtual machine is booted and screenshots of the boot process are taken, which are used by a trained model, such as a convolutional neural network, to determine a boot state consistency. The systems and methods described deliver over 99% accuracy and do not involve regular expression analysis typical of conventional methods.

Abstract: Described screenshot verification systems and methods for automatically verifying the integrity of a backup image or other process-of-interest using a screenshot verification system, as well as disaster recovery systems including said systems and performing said methods. In accordance with various aspects of the present disclosure, a virtual machine is booted and screenshots of the boot process are taken, which are used by a trained model, such as a convolutional neural network, to determine a boot state consistency. The systems and methods described deliver over 99% accuracy and do not involve regular expression analysis typical of conventional methods.

Abstract: Described screenshot verification systems and methods for automatically verifying the integrity of a backup image or other process-of-interest using a screenshot verification system, as well as disaster recovery systems including said systems and performing said methods. In accordance with various aspects of the present disclosure, a virtual machine is booted and screenshots of the boot process are taken, which are used by a trained model, such as a convolutional neural network, to determine a boot state consistency. The systems and methods described deliver over 99% accuracy and do not involve regular expression analysis typical of conventional methods.