Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

Snyk

3 best practices to make the most of Snyk AppRisk Essentials

Thousands of our customers are leveraging Snyk to implement their DevSecOps and shift-left strategies. However, with the increasing speed and complexity of applications, we also know it’s harder to stay in sync with development. It is increasingly difficult to maintain a clear view of all the software assets being developed, identify ownership and their importance to the business, and, most importantly, ensure that these assets are properly secured by Snyk.

Dive into AI and LLM learning with the new Snyk Learn learning path

Snyk Learn, our developer security education platform, just got better! We have expanded our lesson coverage and created a new learning path that covers the OWASP Top 10 for LLMs and GenAI, and is entirely free! As AI continues to revolutionize industries, ensuring the security of AI-driven systems has never been more critical.

Meet Snyk for Government: Our developer security solution with FedRAMP ATO

The Snyk team is excited to announce that our FedRAMP sponsor, the Center for Medicare and Medicaid (CMS), has granted authorization (ATO), enabling their teams to leverage our public sector offering, Snyk for Government (SFG). This stage signifies that we are almost at the finish line of the FedRAMP process and points to our continued investment and support of public sector organizations in their application security efforts.

Want to avoid a data breach? Employ secrets detection

As a software developer, ensuring the security of your applications is paramount. A crucial part of this task involves managing secrets and employing a secrets detection tool. In this context, secrets refer to sensitive data such as API keys, database credentials, encryption keys, and other confidential information. Their unauthorized access or exposure can lead to catastrophic consequences, including data breaches and severe business losses.

How to mitigate security issues in GenAI code and LLM integrations

GitHub Copilot and other AI coding tools have transformed how we write code and promise a leap in developer productivity. But they also introduce new security risks. If your codebase has existing security issues, AI-generated code can replicate and amplify these vulnerabilities.