Strengths and tradeoffs
What each tool does well, and the limitations to keep in mind.
Pros
- Output validation
- Safety controls
Cons
- Setup complexity
Pros
- Developer-friendly with seamless IDE and CI/CD integration for shift-left security
- Extensive and continuously updated vulnerability database ensures early threat detection
- Comprehensive coverage across code, containers, IaC, and open-source dependencies
- Strong AI security capabilities specifically designed for ML/AI development workflows
Cons
- Frequent false positives can create alert fatigue and slow down development
- Poor customer support with slow response times during critical security issues
- Scans can take several minutes for medium-sized repositories, slowing CI/CD pipelines
- Documentation quality inconsistent, making troubleshooting and configuration difficult