Securing Cloud Systems With Security As Code

Securing Cloud Systems With Security As Code

Traditional cybersecurity architectures are incompatible with cloud computing. Misconfiguration, not an attack on cloud infrastructure, is the most common source of cloud breaches. Security technologies from the past were just not built to protect modern cloud systems. The evidence is in the news: a seemingly endless string of data breaches at cloud-based organizations.

Securing the public cloud necessitates a cloud-based cybersecurity architecture. Many cloud application developers now employ software-defined technologies to deliver cloud services, such as infrastructure-as-code (IaC). IaC automates the delivery of cloud services, ensures service configuration uniformity, reduces human error, and ensures accountability and traceability of any modifications.

Similarly, security in the public cloud must be based on an architecture that automates security evaluations, offers consistent policies across the whole cloud application lifetime, and minimizes human errors.

What Is Security As Code?

Security as Code (SaC) is the logical and driving force in the future of application and cloud security due to the API automated code-driven approach for developing, deploying, and monitoring cloud computing environments.

As the name implies, Security-as-Code creates security and control objectives as Code and applies them automatically to ensure that public cloud services are configured and used correctly. The concept is based on the notion that security should be treated as any other code during the software development lifecycle (SDLC). Cloud security controls can be built, enforced, and managed at the same speed and scale that cloud infrastructure services can be delivered thanks to automation.

Infrastructure as Code (IaC) allows developers to define infrastructure using Code. The same methodology will bring security to the pace of DevOps.

Developers and cloud security engineers may incorporate security rules, tests, and automated scans into the CI/CD pipeline and code to get started with Security as Code (SaC). Every Code commit in the CI/CD pipeline should undergo automated testing, and any flaws found must be addressed immediately.

Development and security teams will save time and money by expediting the review process later in the software development lifecycle by bringing security scans to Code as it is written (SDLC).

Why Is It So Important?

Security As Code necessitates that security is specified at the outset of a project and formalized for future usage. As a result, it provides developers with a self-service alternative for ensuring the safety of their Code.

Predefined security policies improve speed while also allowing checks on automated processes to avoid deployment disasters (such as mistakenly bringing the entire infrastructure down because a problem wasn’t spotted in a staging environment).

Companies can fully automate cloud security evaluations and verify that cloud data stores are appropriately protected. They can discover shadow cloud resources, eliminate excessive permissions, and more. All of this is accomplished without limiting cloud innovation. Key content is secure using a Security-as-Code architecture.

Six Easy Steps To Get Started With Security As Code

  • Within the CI/CD pipeline, automate security scans and testing to include static and dynamic analysis and penetration testing so that they can be reused across all projects.
  • Create a constant feedback loop for developers by allowing them to address issues as they arise while developing. This improves developer efficiency and helps them understand security best practices.
  • Integrate checks into the process to monitor and assess automated security procedures. At the very least, you must ensure that sensitive information is not shared or published inadvertently.
  • Use object-oriented programming to automate time-consuming and complex human-driven operations like manual testing.
  • As part of the standard SDLC, create and employ a staging environment to enable a thorough security evaluation before each code commit.
  • Establish a continuous monitoring strategy that notifies developers and security engineers when detected red flags.

Principles To Succeed In Security As Code In Cloud Systems

  • Establish Clear Ownership and Accountability: The first principle requires a focus on ownership and responsibility, as well as an internal structure for controlling roles, duties, and permissions, such as who can write policy and for which elements of the cloud estate. Responsibility is a team effort, and establishing and managing responsibilities is critical to streamlining security and risk management throughout an organization. Many businesses make the fatal mistake of bypassing this stage and moving right into technology implementation.
  • Design and Manage Codified Controls: The second concept entails creating and managing control objectives to address specific use cases. A well-defined lifecycle from control specification to software implementation is necessary to support trust and agility in Security-as-Code artifacts. Write policy material that is precise enough to fulfill cloud control criteria, and manage an ever-growing inventory of codified security intellectual property.
  • Completely implement cloud security controls: The third and last concept is to enforce security gates and guardrails whenever possible. Use APIs to integrate security into source code management systems, continuous integration/delivery pipelines, and runtime environments. Audit cloud services and workloads regularly for security, resiliency, and regulatory compliance. Also, create a unified structure for visibility, control, and cooperation across departments.


We need to adapt our security thinking toward components and software-defined objects in an automated environment. We may create a cloud security feature (object) that can be invoked multiple times at the speed of business, just like in object-oriented programming.

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