Abstract: Novel vulnerabilities in Open-Source Software (OSS) packages are identified from comments made on repositories of a version control platform. Security-related comments are identified and converted into a conversation format, such as a dialog. A prompt that includes the dialog is created and input to a generative Artificial Intelligence (AI) model. The prompt includes instructions that guide the AI model in generating an output. The output indicates whether a component of an OSS package has a vulnerability.

Abstract: A customer account on a serverless platform is monitored for deployment of serverless function codes. When a serverless function code is detected to have been deployed in the customer account, the deployment is checked against admission control policies of the customer account. A corresponding serverless function in the customer account that results from the deployment of the serverless function code is terminated when the deployment of the serverless function code is prohibited by an admission control policy.

Abstract: A detection module monitors, at a network layer, the network traffic between a client computer and a server computer. The detection module extracts application layer data from the network traffic and decodes the application layer data to identify a remote file operation that targets a shared file stored in the server computer. The detection module evaluates the remote file operation to determine if it is a malicious remote file operation. The detection module deems the remote file operation to be malicious when the remote file operation will corrupt the shared file.