Abstract: Described herein is a system and method for utilizing a virtual secure mode instance to protect an artificial intelligence model from unauthorized access (e.g., inspection, copying) during execution of an application utilizing the AI model (e.g., training and/or inference) on a client device. An encrypted artificial intelligence model is received in a virtual secure mode instance of the client device. The encrypted artificial intelligence model is decrypted in the virtual secure mode instance using a decryption secret. The decrypted artificial intelligence model is stored in the virtual secure mode instance. An application that utilizes the decrypted artificial intelligence model is executed (e.g., training and/or inference) in the virtual secure mode instance.

Abstract: Examples described herein generally relate to device analytics. Specifically, the present disclosure provides resource deployment at an organization including one or more devices. The present disclosure provides for receiving telemetry data from the one or more devices associated with the organization. The present disclosure further provides for generating a set of deployment rings for the deployment of the software resource at the one or more devices of the organization. Additionally, the present disclosure provides for deploying the software resource within the organization based on the set of deployment rings.

Abstract: Described herein is a system and method for utilizing a virtual secure mode instance to protect an artificial intelligence model from unauthorized access (e.g., inspection, copying) during execution of an application utilizing the AI model (e.g., training and/or inference) on a client device. An encrypted artificial intelligence model is received in a virtual secure mode instance of the client device. The encrypted artificial intelligence model is decrypted in the virtual secure mode instance using a decryption secret. The decrypted artificial intelligence model is stored in the virtual secure mode instance. An application that utilizes the decrypted artificial intelligence model is executed (e.g., training and/or inference) in the virtual secure mode instance.

Abstract: Examples described herein generally relate to device analytics. Specifically, the present disclosure provides resource deployment at an organization including one or more devices. The present disclosure provides for receiving telemetry data from the one or more devices associated with the organization. The present disclosure further provides for generating a set of deployment rings for the deployment of the software resource at the one or more devices of the organization. Additionally, the present disclosure provides for deploying the software resource within the organization based on the set of deployment rings.

Abstract: In many information security scenarios, a certificate issued by a certificate authority may be presented to a client in order to assert a trust level of a certificated item, such as a message or a web page. However, due to a decentralized structure and incomplete coordination among certificate authorities, the presence and exploitation of security vulnerabilities to issue untrustworthy certificates may be difficult to determine, particularly for an individual client. Presented herein are techniques for advising clients of the reputations of respective certificate authorities by evaluating the certificates issued by such certificate authorities, such as the number and types of domains certified by the certificate; the number and pattern of certificates issued for the domain; and the certification techniques used to issue the certificates. Such evaluation enables a determination of a certificate authority trust level that may be distributed to the clients in a certificate authority trust set.

Abstract: In many information security scenarios, a certificate issued by a certificate authority may be presented to a client in order to assert a trust level of a certificated item, such as a message or a web page. However, due to a decentralized structure and incomplete coordination among certificate authorities, the presence and exploitation of security vulnerabilities to issue untrustworthy certificates may be difficult to determine, particularly for an individual client. Presented herein are techniques for advising clients of the reputations of respective certificate authorities by evaluating the certificates issued by such certificate authorities, such as the number and types of domains certified by the certificate; the number and pattern of certificates issued for the domain; and the certification techniques used to issue the certificates. Such evaluation enables a determination of a certificate authority trust level that may be distributed to the clients in a certificate authority trust set.