Identity Attacks Threaten Workloads, Not Just Humans
Companies have embraced the cloud and accelerated adoption, but with insider access to infrastructure even more available, can businesses defend their expanded attack surface?
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Background for this topic.
Cloud computing involves delivering computing services—such as storage, processing, and networking—over the internet using remote data centers. This model enables organizations to scale resources dynamically without owning physical infrastructure. In security terms, the cloud environment is defined by multi-tenant infrastructure where multiple customers share hardware and software resources managed by a cloud provider.
Key security concerns include controlling access through strong identity and access management (IAM), protecting data with encryption both at rest and in transit, and managing vulnerabilities in shared infrastructure components. The cloud’s shared responsibility model requires customers to secure their applications and data while providers secure the underlying platform. Misconfigurations, weak access controls, and insufficient monitoring can expose cloud assets to unauthorized access or data leakage, making precise configuration and continuous security assessment essential.
Companies have embraced the cloud and accelerated adoption, but with insider access to infrastructure even more available, can businesses defend their expanded attack surface?
Cloud workload protection delivers on the promise of zero trust for virtual machines, containers, and serverless architectures across the application life cycle.
Threat modeling visualization, code repository scanning, and pipeline configuration analysis help prioritize vulnerabilities.
CrowdStrike, Cloudflare, and Ping Identity have teamed up with tools and services for the healthcare, power, and water industries as a way to quickly bolster their security on several fronts.
Last month, Microsoft was interested in buying Mandiant. Now, it's Google that is looking at a deal to boost Google Cloud.