Our Snyk Partnership | Airnow Cybersecurity

Accelerating Developer Security Adoption and Scale

Application code vulnerabilities are typically identified at the end of the development lifecycle when the application code is presented to security teams for analysis. Retroactively securing code is inefficient and time consuming, and vastly increases the development lifecycle cost.

To combat this, Snyk is an innovative development security tool that sits within the development lifecycle to identify open source code vulnerabilities and open source licensing risk on the fly in real time. Identifying open source code vulnerabilities as early as possible in the application development lifecycle reduces the amount of time applications spend in production and accelerates your ability to fix vulnerabilities.

Take a Snyk Peak

Find and fix vulnerabilities in open source libraries and containers without spending a single penny

Tests

Snyk allows you to run unlimited tests on open-source projects and up to 200 tests per month for open source vulnerabilities on private projects.

Alerts

Snyk tests your dependencies every day for newly disclosed vulnerabilities affecting your projects, and alerts you instantly when action is needed.

Pull Requests

Accelerate security and minimize exposure with access to manual pull requests, precision patches and fully automated upgrades and fixes.

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Why Choose Snyk?

More than just a security tool

Snyk has been purpose built for developers, and this developer-first approach means it has grown into a security tool they can use and love. By using an advanced, built-in scoring system, Snyk also shows you which issues pose the greatest threat and which are the most worthwhile to fix.

Offering powerful fix advice and automation that enables security at scale and speed, Snyk is designed to find the right solution for you - one which automatically opens a new pull request on your behalf or suggests you open one manually based on your settings.

Snyk’s leading vulnerability database is also managed by a team of expert’s researchers and analysts ensuring the database maintains a high level of accuracy with a low false-positive rate.

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