Organizations are adopting Google Cloud at a growing rate. This growth is partially influenced by both the rise of AI computing and a push towards multi-cloud usage. A recent report found that 85 percent of organizations deploy their applications on multi-cloud architecture. With the shift to AI computing and multi-cloud adoption, organizations are reconsidering their cloud security coverage now more than ever.

Detecting malware in container environments can be a major challenge due to the rapid development of malicious code, the proliferation of insecure container images, and the multilayered complexity of container stacks. Staying ahead of attackers means tracking the constant evolution of malware and rooting out threats in your codebase at the expense of considerable compute.

Cloud environments are susceptible to a wide variety of cyberattacks, making them difficult to secure. Some cyberattacks are easier to detect than others, so a priority in cloud security is having adequate detection and response systems in place to mitigate them. Unauthorized cryptomining has become a prevalent threat in recent years, especially in cloud environments where it can be harder to detect.

Kata Containers is an open source project that seeks to enhance security for containers by isolating them in lightweight VMs. Each Kata Container runs with the speed and flexibility of standard containers, and it easily integrates with common container management software—including Docker and Kubernetes.

As of August 2023, only 3 out of 23 US government agencies were compliant with Office of Management and Budget (OMB) requirements for log management and security observability. These requirements are outlined in M-21-31, a 2021 memorandum that was issued following Executive Order 14028 on improving national cybersecurity. Until all of these agencies implement the new requirements, the federal government’s ability to fully detect, investigate, and remediate cybersecurity threats will be constrained.

Network security services like Google Cloud Armor enable you to filter incoming traffic so that you can prevent attacks from overwhelming your system or from reaching critical components of your application. However, these services often handle threats automatically, making it difficult to gain visibility into attempted security breaches.

Mitigating application vulnerabilities throughout the software development life cycle (SDLC) is critical—and challenging, especially as applications rely more and more on third-party, open source software (OSS). With this type of architecture, teams often don’t know exactly where vulnerabilities exist in their code, which of those vulnerabilities are actively exposed in production services, and which vulnerabilities are more critical to address than others.