Security Issues Identified
The number of security-related issues identified by AI Review, such as access control, validation, and insecure implementation patterns.
Updated
by Steven Silverstone
Security Issues Identified is the number of potential security-related issues detected by AI Review across pull requests during the selected timeframe.
What this metric shows
This metric captures potential vulnerabilities in code, including issues such as improper input validation, insecure data handling, authentication or authorization weaknesses, and exposure of sensitive information.
Why it matters
- Helps detect security risks early in the development process.
- Reduces the likelihood of vulnerabilities reaching production.
- Supports secure coding practices across teams.
Interpretation tip
AI Review flags potential risks based on patterns and context. Not all findings represent confirmed vulnerabilities, but they should be reviewed carefully.
AI Review flags potential risks based on patterns and context. Not all findings represent confirmed vulnerabilities, but they should be reviewed carefully.
How to use it
Use this metric to monitor trends in security-related findings. Repeated issues may indicate gaps in secure coding practices, insufficient validation, or areas that require additional safeguards and review.
Related metrics
How did we do?
Scope Issues Identified
