Third Party Package Reputation

Identify and Replace Low-Reputation Third-Party Packages

Evaluate third-party packages in your code based on a wide range of open-source reputation characteristics. Replace existing low-reputation packages and avoid new ones to reduce security and operational risk in your production environment.

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A view of software package reputation risk within Arnica's product

Give Your Developers Security Superpowers

Replace Low-Reputation Dependencies to Strengthen Your Supply Chain

Help your developers maintain high quality dependencies by identifying and alerting on low-reputation third party packages in real-time on code push, on a pull request, or asynchronously.

Deliver Rich Third-Party Reputation Context

Arm your developers with rich package context such as count of releases, days since last publish, number of recent downloads, number of dependent packages, OpenSSF score, number of GitHub stars, and more.

Empower Developers to Fix Risks in Real-Time

Build easy, developer-native interactions to encourage upgrades to low-reputation third-party software packages while keeping developers in their existing tools and workflows.

Uplevel Your Code Security with Third-Party Package Reputation

Beyond Security

Package Reputation Analysis

Package Reputation Analysis Give your developers all the context they need to avoid using low-reputation third-party packages.

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Identify low-reputation characteristics

Provide visibility into count of releases, last published date, downloads count, dependent packages, number of GitHub stars, and more for every package.

Notify developers directly

Notify developers about newly introduced third-party packages with low reputation characteristics.  

Monitor existing packages

Alert on existing packages that become low-reputation based on lack of updates.  

Use third-party validation

Provide developers with third-party reputation context such as OpenSSF Scorecard.

Developer-Native

Real-Time Developer Workflows

Identify and communicate with developers in real-time on detected low-reputation packages so they can adjust before their code is in production.

More about Developer-Native Workflows
Slack message with a fixed secret finding from Arnica
Slack message with a fixed secret finding from Arnica
Slack message with a fixed secret finding from Arnica
Slack message with a fixed secret finding from Arnica
Communicate early

Let developers know before their code containing low-reputation packages is merged to production.

Collaborate in chat

Integrate with Slack & Microsoft Teams to communicate with developers in tools they already use, without the need to opt-in.

Facilitated peer code reviews

Empower developers to kickoff peer review workflows directly from chat alerts on a low-reputation package.

Automated ticket management

Arnica’s Jira integration auto-opens tickets when low-reputation packages are introduced and auto-closes when they’re mitigated.

Package Quality

Avoid Low-Quality Packages

Go beyond Software Composition Analysis and leverage Arnica’s package reputation analysis to ensure that your developers are using reliable, high-quality third-party packages.

More on SCA
Maintain high-reputation packages

Keep the potential risks of low-reputation packages out of your code, even if they don’t contain known security issues.

Rich severity insights

Prevent low-reputation packages from entering your source code based on rich severity scoring across CVSS, EPSS, and KEV.

Reduce operational risk

Reduce the operational risks and tech debt that come with low-reputation package usage.

A software bill of materials showing contents of a software repository
A software bill of materials showing contents of a software repository
A software bill of materials showing contents of a software repository
A software bill of materials showing contents of a software repository

Customer testimonials

Hear what Arnica users have to say about how pipelineless security helped them build their own world-class application security program.

See case studies
Arnica helps us reduce noise by providing metrics on the likelihood of exploitation and reprioritizing critical severity vulnerabilities based on Arnica’s logic, exposing the most important risks to deal with immediately. We set all of this up in the first month.
Jordan Bailey
Principal AppSec Engineer
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For risks outputs from Static Application Security Testing (SAST) or Software Composition Analysis (SCA), we’ve been able to reduce mean-time-to-awareness of the risk for the developer as well as mean-time-to-remediation.
Mark Stanislav
VP of Security Engineering & GRC
View Case Study

Go beyond code security with package reputation analysis.

Keep low-reputation packages out of your code with Arnica's package reputation management.

Get a Demo of Arnica Package Reputation