Generative AI capabilities continue to make their way into every organization, with increasingly useful ways of helping employees and contractors be more productive. This includes advancing how fully automated vulnerability remediation works, and with the power of generative AI, is able to take into account unique environments and uses in real-time.
In today's rapidly evolving cloud landscape, managing permissions and ensuring robust security controls are essential for organizations utilizing Amazon Web Services (AWS). AWS Identity and Access Management (IAM) is crucial in managing permissions to access AWS resources. While IAM provides granular control over permissions, AWS IAM permissions boundaries offer additional security and flexibility for fine-tuning access controls.
Unstructured data is a prime target for ransomware attacks, making it crucial for organizations to protect and manage it effectively. Currently, it is estimated that 80-90% of all data generated falls into the unstructured category, consisting of files and objects. Organizations rely on unstructured data to store sensitive information, intellectual property, and other invaluable corporate assets.
GraphQL has become a popular choice for building APIs in recent years. In projects using Typescript and Apollo Client, such as Rubrik’s, it is very helpful to map GraphQL schema to types and interfaces and one of the most popular tools for generating these types and interfaces based on a GraphQL schema is Apollo Codegen.
Implementing the principle of least privilege at scale in AWS requires careful planning and a systematic approach. Here are some steps to help you achieve this.