Snyk IaC public beta introduces Terraform plan analysis
We’re happy to share new beta features of Snyk Infrastructure as Code (Snyk IaC) inside the Snyk CLI, adding support for Terraform plan scanning, plus performance and security improvements.
We’re happy to share new beta features of Snyk Infrastructure as Code (Snyk IaC) inside the Snyk CLI, adding support for Terraform plan scanning, plus performance and security improvements.
The Code Dx team is pleased to announce the general availability (GA) of Code Dx 5.3, which notably features an integration with Snyk to help customers integrate open source and container security into their continuous development processes. As we move toward a cloud native world, we’re working to ensure that developer-first tooling, secure cloud infrastructure, container security, and open source tools are fully integrated into Code Dx 5.3.
Snyk Code now offers beta support for Python 2.x and 3.x projects. You do not have to install or update anything since we added the support to the backend engine and it is available instantly to be used. When a repository is scanned, you will see Python beta results showing up. If you cannot wait for a scheduled rescan, you can manually trigger a scan.
We’re pleased to announce our new plugin for JetBrains IDEs, making it easier for developers to find and fix security issues as they code! Snyk’s new free JetBrains IDE plugin enables developers using IntelliJ IDEA and WebStorm to easily find and fix known vulnerabilities in their open source dependencies as well as any security issues and bugs in their own code.
We’re pleased to announce support for viewing all of your Snyk Infrastructure as Code (Snyk IaC) configuration issues in the reporting functionality of the Snyk platform.
UpGuard has launched an exciting new product called CyberResearch. This post summarizes the solution and its key features. CyberResearch is a suite of fully managed services, encompassing third-party risk and data leak detection. This world-first innovation is designed to further reduce the risk of data breaches while making it easier than ever before to scale your cybersecurity efforts.
There is a common tendency that the typical DAST scanner finds the easiest to locate known security vulnerabilities. If you need to find vulnerabilities that are more difficult to detect – you need the help of security experts. But what if the DAST product could behave more like an automated hacker? The Security Research team at Detectify set themselves up to solve this problem and fundamentally upgrade the way we do fuzzing in our vulnerability scanner, Deep Scan.