CodeQL (GitHub) vs Winston AI
Compare security AI Tools
Semantic code analysis engine used for code scanning queries and security research free for public repos and part of GitHub Advanced Security for private code.
Winston AI is a content integrity tool that detects AI generated text and checks plagiarism, using a credit system where AI detection costs 1 credit per word and offering a free plan at $0 plus paid plans that start around $10 per month.
Feature Tags Comparison
Key Features
- Free code scanning for public repositories on GitHub dot com
- Advanced Security brings enterprise features for private repos
- Declarative query language to model flows and data dependencies
- Extensive query packs and libraries maintained by community
- CI integrations with SARIF outputs for routing and dashboards
- Variant analysis to find bug families across services
- Credit pricing clarity: Official pricing lists AI detection at 1 credit per word and plagiarism at 2 credits per word for predictable usage math
- Free plan available: Official pricing shows a Free plan at $0 for getting started and testing workflows
- AI image detection: Official pricing notes AI image detection costs 300 credits per image for visual screening
- Reports and evidence: Integrity workflows rely on shareable reports and documentation for review and audit needs
- Weekly updates claim: Official site states detection algorithms are updated weekly which affects ongoing accuracy and drift
- Policy driven workflows: Best outcomes come from clear interpretation rules and human review for borderline results
Use Cases
- Gate pull requests with code scanning before merge
- Build organization rulepacks based on past incidents
- Run variant analysis to remove whole bug classes at once
- Export SARIF to SIEM and dashboards for leadership views
- Educate developers with precise fix examples in checks
- Schedule repo wide scans to catch drift and regressions
- Editorial screening: Screen submitted articles then route borderline flags to editors for human review and documentation
- Academic integrity: Check essays with a consistent policy and store reports for appeals and audit trails
- Agency QA: Verify client deliverables for originality before publication and keep evidence tied to project records
- Compliance review: Scan sensitive communications and require human signoff when confidence is low or stakes are high
- Plagiarism checks: Run plagiarism scans on drafts and citations to reduce accidental duplication risk in publishing
- Image integrity checks: Screen images for AI generation when brand policy restricts synthetic visuals in certain contexts
Perfect For
app sec engineers dev leads and platform teams that need explainable static analysis free for public repos and governed features for private code
publishers, editors, educators, academic integrity teams, content marketing teams, SEO agencies, compliance reviewers, enterprises managing originality policies
Capabilities
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