Software Composition Analysis (SCA) tools have been around since 2002, and they are now more critical than ever for identifying vulnerabilities in your codebase's libraries, frameworks, and third-party components. According to a Capterra report, 61% of businesses have been affected by a supply chain threat in the last year. If you’re one of the lucky 39%, Capterra suggests it really came down to luck - as nearly all companies use at least one third-party vendor.
Software Composition Analysis (SCA) is the practice of identifying the open source libraries your code depends on. By using SCA, you can analyze these dependencies and determine whether they are affected by any known vulnerabilities, contain malicious code, introduce licensing risk, or are poorly maintained. SCA helps teams understand their software’s dependencies and the security implications of using them so that they can safely build on and innovate with open source code.
Software code is constantly growing and becoming more complex, and there is a worrying trend: an increasing number of open-source components are vulnerable to attacks. A notable instance was the Apache Log4j library vulnerability, which posed serious security risks. And this is not an isolated incident. Using open-source software necessitates thorough Software Composition Analysis (SCA) to identify these security threats.
Understanding our supply chain means understanding all the components that make it. But this is harder than it appears. Open-source components make up 80 - 90% of our application's source code, but we must also remember that our open-source components are also made from open-source components, it's like supply chain inception. SCA or Software Composition Analysis is a security tool that looks at your entire supply chain and outlines vulnerabilities, including transitive or downstream dependencies.
Enabling organizations to enhance their security posture by fighting vulnerabilities in code dependencies throughout the entire software development lifecycle.
PHP is a popular server-side scripting language that is widely used for web development. PHP developers can ship and deploy more high-quality software products by leveraging static analysis tools that help mitigate PHP code errors, security vulnerabilities, and other issues that can impact the quality and security of the application if not addressed early in the development cycle.
Join us on This Month in Datadog for a spotlight of Datadog SCA, which helps teams track and manage open source libraries in their apps, so they’re better able to address security risks, business risks, and licensing. Watch the new episode now.
Are Software composition analysis (SCA) scans and container scans the same thing? The short answer is yes… and no. A comprehensive container image scan applies SCA specifically to containers in combination with other analyses particular to containers, such as how they’re configured to deploy and the presence of secrets. Read on to learn the key differences.
Datadog is constantly elevating the approach to cloud monitoring and security. This Month in Datadog updates you on our newest product features, announcements, resources, and events.