リソース

Beyond the Vulnerability Backlog: Building Risk-Based AppSec Programs

7 Surprising Roadblocks on the Path to DevSecOps Maturity

Understand how your organization's DevSecOps maturity compares to industry benchmarks. Learn about common challenges in risk reduction, security fatigue, and developer adoption. Get the insights.

Webinar: Breaking Down Financial Services' Biggest AppSec Hurdles

Explore the biggest AppSec challenges in financial services and discover practical strategies to streamline compliance, secure development at scale, and bridge the gap between security and dev teams in this on-demand webinar.

Optimizing AppSec in the technology sector: Strategies & Challenges

Preventing Broken Access Control in Python Flask Applications

If you code your Python Flask applications for modern SaaS-like business applications, it is surely a vulnerability. Learn how to prevent broken access control in Python Flask Applications.

Simple Doesn't Always Mean Secure: Avoid this Golang XSS Pattern

Cross-site scripting (XSS) attacks are a web vulnerability that allows attackers to inject malicious scripts into web pages. Learn how to prevent and fix XSS scripting in Golang.

Developer Training in Cybersecurity: Enhance development & security teams collaboration

SAST essentials for AI-generated code: A security leader’s handbook

The Rise of Platform Engineering webinar

Watch Snyk's webinar as we dive into the latest developments in the rise of Platform Engineering.

5 Common AppSec Challenges in FinServ

Learn how to overcome key AppSec challenges in FinServ, from regulatory compliance to cyber threats, while aligning security and development teams.

5 Key Learnings on How to Get Started in DevSecOps

During DevSecCon’s recent community call on How to Get Started in DevSecOps, security experts from the DevSecCon community shared actionable advice, practical steps, and insights for navigating this critical field. Here are the top five takeaways from this call.

Malware in LLM Python Package Supply Chains

The gptplus and claudeai-eng supply chain attack represents a sophisticated malware campaign that remained active and undetected on PyPI for an extended period. These malicious packages posed as legitimate tools for interacting with popular AI language models (ChatGPT and Claude) while secretly executing data exfiltration and system compromise operations.