To fully protect cloud-native workloads, you must extend the security tools and processes you use to safeguard traditional cloud workloads. Here are several best practices for securing cloud-native EDA workloads:
Bake In Security
Risk identification is not something you want to postpone until after you’ve built a chip. Instead, bake security tests into your workloads to maximize your chances of finding and fixing security issues.
Move Beyond Agents
While agent-based security may be enough for protecting simple cloud workloads, you can’t always deploy agents to achieve security visibility. Instead, you’ll need to instrument security visibility into the code.
Use Layered Security
Cloud-native environments include many layers—infrastructure, applications, orchestration, and physical and virtual networks—and you need to secure each. This means deploying tools and security analytics processes to detect cloud-native security risks at every level.
Detecting and resolving threats in real-time requires more than periodic auditing or validation of cloud configurations. Instead, deploy tools that continuously monitor your configurations and alert you to risks in real-time.
You should deploy automated remediation tools that can isolate or mitigate threats instantly. Utilizing automation reduces the burden placed on your IT and security teams while addressing threats as quickly and proactively as possible.
Synopsys Is a Cloud-Native Security Leader
Our commitment to security stands behind all Synopsys Cloud solutions. Our cloud-optimized EDA and IP solutions provide comprehensive cloud security.
Through the use of Synopsys security tools, we build our products with security in mind. Our best practices ensure a secure development lifecycle, a security culture, and world-class assurance.