How Amazon CodeGuru Security helps you effectively balance security and velocity
Blog
This article explains how Amazon CodeGuru Security balances development velocity with application security through ML-powered code analysis.
- ML-powered static application security testing (SAST) tool reducing false positives and overwhelming findings
- Supports Python, Java, and JavaScript with IDE, CLI, and AWS Lambda integration points
- Guru Query Language (GQL) enables precise detection of vulnerable patterns across 200+ analysis constructs
- Bug Fix Tracking (BFT) algorithm automatically relates findings across code versions and detects fixes
- Provides concrete remediation suggestions as code diffs for faster developer action
- Pre-analysis classifies application vs. library code to focus on actionable recommendations
- Rigorous quality control process with internal testing before commercial release
CodeGuru Security helps teams identify critical security risks with high precision and actionable fixes, significantly reducing time to remediate vulnerabilities.
The AWS News Feed is currently looking for gold sponsors. If you want to support the AWS community and reach a large audience of AWS professionals, consider sponsoring the AWS News Feed.
Related articles
The AWS News Feed is currently looking for silver sponsors. If you want to support the AWS community and reach a large audience of AWS professionals, consider sponsoring the AWS News Feed.