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Open Source Risk

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Solution for Enterprise

Risk mitigation that fits an enterprise-sized organization, pursuing scalability

Understanding the general “health and welfare” of Open Source in order to limit technical risk has become a new frontier, find out how.

Why you should mitigate open source risks beyond security

As companies with mature Open Source management practices have largely been able to gain adequate control and visibility of license/IP risks as well as security risks, they have been facing many technical risks:

Use of OSS with poor project health: excessively high numbers of issues/bugs, poor project management, missing documentation, lack of responsiveness to questions or issues
Poor fitness for purpose: OSS with poor performance, scalability, and stability
Use of out-of-date forks of a mainstream project
Lack of code stability or API backward compatibility that makes upgrading to address issues difficult

Technical risk, often overseen, can elevate your competitive edge by increasing efficiency in your software development lifecycle. Risk mitigation should identify all types of risk, both declared and undeclared, that fits an enterprise organizational structure.

Solution for Scaleups

Get control & visibility over all your open source risks

Mitigating open source risk should be accessible to all stakeholders. Is your organization capable of uncovering all open source risks?

Why you should mitigate open source risks beyond security

As Open Source usage grew to encompass the majority of software creation, risk mitigation became a necessity to automate the Open Source management process.

While you’ve landed in a stage where you’re capable of identifying the security vulnerabilities of all declared code and components, there are still risks left uncovered. For example:

Vulnerabilities in undeclared open source
License obligations in partial files
Technical health of components
Export compliance obligations

Solution for early stage companies

Do you really know what’s in your code?

Leveraging open source brings a lot of benefits, but many of the risks are hidden. Without full knowledge of what’s in your code, you can never entirely mitigate the risks. Are you truly aware of your code’s exposure?

What should you be concerned about?

Often, DevOps teams think they’ve got all Open Source risks covered. Everyone knows to keep track of security vulnerabilities and licenses, but there is more:

Vulnerabilities in undeclared open source
License obligations in partial files
Technical health of components
Export compliance obligations

Declared vs. undeclared code: a huge blind spot.

Most businesses rely on declared open source components to manage risk. This business practice results in a huge blind spot–the undeclared open source components that cannot easily be identified but present the same risks. Undeclared components include, for example:

Hidden plagiarized code
Forgotten “old” code
C/C++ and similar projects
Partial file/component code

Catch security vulnerabilities while coding.

Avoid insecure code. Detect open source vulnerabilities early.
Reduce remediation effort.
Lower the cost of fixing vulnerabilities retroactively.

Limit technical risk by understanding code health.

Reduce rework. Pick the right open source from the start.
Avoid dormant project and shrinking ecosystems.
Deliver the best technical solution.

Identify legal risks in your code.

Shorten legal approvals. Surface legal issues early.
Proactively avoid incompatible licences.
Simplify attribution and export documentation.

Gain 360° visibility on Open Source risk with SCANOSS

SCANOSS has got your back throughout the Software Development Lifecycle. With the 360° Open Source Risk Management, you can identify your code’s risks while developing: from Security to Legal & Technical risks, for both declared and undeclared open source. It’s easy to get started, and most importantly: developer-friendly.

The result? Code that you and the team can completely trust, high-quality applications that are finished earlier, and development costs that are dramatically lower.

Curious to see what the data would look like? Try out the QuickScan Lite Desktop App.