Operational Risk

Learn how Xray identifies operational risk and calculates severity.

Beyond security vulnerabilities and compliance issues, operational risks in software components can impact system reliability, maintainability, and overall software quality. These risks arise from outdated, deprecated, or unmaintained dependencies that may no longer receive updates, security patches, or community support.

JFrog Xray provides Operational Risk Analysis so you can detect and mitigate risks before they affect production environments. By identifying software components with end-of-life (EOL) statuses, deprecated libraries, and maintenance concerns, you can make informed decisions to maintain software stability and long-term viability.

What Is Operational Risk in Software?

Operational risk refers to non-security-related issues that can affect a software component’s performance, reliability, or maintainability.

The package types currently supported are npm and Maven.

Common operational risks include:

  • End-of-life software: Components that no longer receive updates or security patches.
  • Deprecated dependencies: Libraries that are obsolete or replaced by newer versions.
  • Unmaintained open-source projects: Software that hasn’t been updated for a long period,
    increasing the risk of compatibility issues.
  • High-impact component updates: Major version changes that introduce breaking changes or API modifications.
  • Abandoned projects: Open-source components with no active contributors or maintainers.

How Xray Detects Operational Risks

Xray continuously monitors software components in repositories, builds, and Release Bundles, identifying key operational risks based on:

  • Version stability: Detects if a component hasn't been updated for an extended period.
  • End-of-life status: Flags software that has reached EOL and no longer receives support.
  • Community and maintenance health: Analyzes activity levels of open-source maintainers.
  • API and compatibility changes: Identifies major version changes that may introduce breaking updates.
  • License status changes: Notifies you when license modifications impact compliance.

Operational Risk Workflow in Xray

  1. Create an Operational Risk Policy.
  2. Attach Policy to Watch.
  3. View Operational Risk Data in Xray > Scans List. For more information, see Understanding and Analyzing Xray Scan Results.
  4. View Operational Risk violations generated based on the Policy rules you set.

Mitigating Operational Risks with Xray

1. Monitor Dependencies Continuously

  • Apply Operational Risk Policies to repositories and builds.
  • Detect outdated and deprecated dependencies before they impact production.

2. Enforce Governance in CI/CD Pipelines

  • Configure Xray to fail builds if they contain high-risk operational components.
  • Require dependency reviews before promoting artifacts.

3. Plan for End-of-Life Transitions

  • Track EOL software and migrate to actively maintained alternatives.
  • Avoid dependencies that lack long-term maintenance support.

4. Establish a Risk Management Strategy

  • Regularly audit software dependencies for compatibility and lifecycle health.
  • Work with open-source communities to assess long-term viability.

How Xray Determines Operational Risk Severity

Xray calculates Operational Risk as High, Medium, Low, and None, meaning no known risk, using the following criteria.

RiskTypeSeverityNotes
End-of-lifeBooleanHigh = True
None = False
Version ageNumberNumber of months since release / 10
High >= 4
Medium > 2 and < 4
Low > 1 and <= 2
None, no risk <= 1
Number of new versionsNumberNumber of versions since / 2
High >= 6
Medium >= 4 and < 6
Low >= 2 and < 4
None, no risk < 2
Health of open source projectRelease cadence per yearHealthy >= 2 releases
Unhealthy <= 1
This includes all releases, including dot releases and patch releases if they are general availability releases.
When there's no data, Xray presumes it's healthy.

The following table shows how Xray calculates Operational Risk effective severity.

NumberEOLHealthNumber of New VersionsVersion AgeCombine SeverityRisk Reason
1HighAnyAnyAnyHighEOL
2NoneHigh RiskAnyAnyHighHealth
3NoneNo RiskHighNone, Low, Medium, HighHighNumber of new versions and version age, only when High
4NoneNo RiskMediumNone, Low, MediumMediumNumber of new versions and version age, only when Medium
5NoneNo RiskLowNone, LowLowNumber of new versions and version age, only when Low
6NoneNo RiskNoneNoneNoneNo given reason
7NoneNo RiskNone, Low, Medium, HighHighHighVersion age and number of new versions, only when High
8NoneNo RiskNone, Low, MediumMediumMediumVersion age and number of new versions, only when Medium
9NoneNo RiskNone, LowLowLowVersion age and number of new versions, only when Low

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