What Is Software Security?

Software security is the practice of building and maintaining software so that it continues to operate correctly while under deliberate attack. It treats resistance to attack as a property engineered into the software, rather than a set of controls applied around it after release.

Safety engineering, which is a separate discipline, addresses harm arising from malfunction and accident and assumes the environment is indifferent. Security addresses harm arising from an adversary who studies the system and adapts. Information security and cybersecurity are broader still, covering networks, hardware, people, and data in every form.

Software Security, Application Security, and Product Security

The three terms overlap and are frequently used as synonyms, but they divide the work differently.

Software security is the engineering discipline: how software is designed, written, tested, and maintained so that it withstands attack. Application security is generally used for the practice as applied to a running application and the tooling that supports it. Product security is organizational, covering the security of everything a company ships, including hardware, firmware, deployment defaults, disclosure processes, and the response when something goes wrong. The boundary between the last two is drawn differently by different organizations, and the distinction is set out in more depth in this comparison of application security and product security.

Where Software Security Happens in the Lifecycle

Every stage of development contributes something, and each has its own failure mode. Requirements and design settle what the software is expected to withstand. Threat modeling belongs here, before any code exists, because architectural decisions about trust boundaries and privilege are expensive to reverse later. Implementation introduces defects through coding errors and dependency choices. Testing finds a subset of them. Deployment introduces configuration and secrets management. Maintenance covers vulnerability disclosure, patching, and the response to defects found in released software.

NIST's Secure Software Development Framework organizes these activities into a set of outcome-based practices that an organization can satisfy with its own choice of tooling.

CISA's Secure by Design guidance, published with international partners, sets out three principles for software manufacturers. Manufacturers are asked to accept responsibility for the security their customers experience, to disclose vulnerabilities and their own practices openly, and to treat this as a leadership commitment rather than a task delegated to a security team.

Software Security Testing

Each method answers a specific question and is silent on the others, so no single one finds every category of defect.

Coverage comes from combining methods, not from selecting the strongest one.

Software Security Best Practices

1. Model threats at design time. Which defect classes are possible at all is settled by architecture, not by the checks that run afterward.
   
   
2. Prefer memory-safe languages for new development. This eliminates a defect class rather than mitigating it, which is the position CISA and the NSA have taken in joint guidance.
   
   
3. Treat dependencies as owned code. Maintain an inventory, know which components ship, and establish how quickly a critical advisory can be acted on.
   
   
4. Keep secrets out of source control. Repository history preserves credentials that were deleted from the current branch.
   
   
5. Run the automated checks on every commit. The same finding costs less to fix while the author still remembers writing the code, and more once it has shipped.
   
   
6. Ship security defaults, not security options. Any protection that requires the customer to switch it on is inactive wherever nobody did.
   
   
7. Publish a disclosure process. External researchers find defects regardless of whether an organization has prepared to receive the reports.

What Software Security Cannot Control

Software ships into environments its authors do not operate. Configuration, network placement, access policy, and the composition of the surrounding stack are all decided after release and can undo assumptions the design depended on.

Regardless of how mature the process is, two gaps persist. Dependencies acquire new vulnerabilities after a release is cut, so software that was secure when shipped becomes vulnerable while unchanged. And no development practice addresses attacks that do not rely on a defect, including credential abuse and misuse of features working as specified.

Both are arguments for runtime application security, which observes the software in the environment where it runs rather than the one it was tested in.

Raven closes the distance between software as tested and software as deployed, acting on what the application does in production rather than on what the build pipeline predicted. Book a demo to see it against your own stack.

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