CodeQL (GitHub) vs Fiddler AI
Compare security AI Tools
0% Similar based on 0 shared tags
C
CodeQL (GitHub)
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.
Pricing Free / Contact sales
Category security
Difficulty Beginner
Type Web App
Status Active
F
Fiddler AI
AI observability and monitoring platform for ML and LLM systems covering performance, drift, safety and explainability with usage based tiers.
Pricing By quote
Category security
Difficulty Beginner
Type Web App
Status Active
Feature Tags Comparison
Only in CodeQL (GitHub)
code-scanningsecuritystatic-analysisqueriesci
Shared
None
Only in Fiddler AI
observabilitymonitoringexplainabilityllmgovernance
Key Features
CodeQL (GitHub)
- • 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
Fiddler AI
- • Unified monitoring for ML and LLM quality and drift
- • Explainability tools to debug failures and bias
- • Guardrails for safety fairness and PII protection
- • LLM as a judge evaluations for complex tasks
- • Role based access SSO and audit trails
- • Usage based tiers with private deployment options
Use Cases
CodeQL (GitHub)
- → 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
Fiddler AI
- → Monitor production LLM chat for hallucinations
- → Detect drift in ranking and recommendation models
- → Investigate incidents with slice based explanations
- → Set guardrails to block unsafe or PII leaking outputs
- → Correlate quality drops with data pipeline issues
- → Track latency and cost regressions over releases
Perfect For
CodeQL (GitHub)
app sec engineers dev leads and platform teams that need explainable static analysis free for public repos and governed features for private code
Fiddler AI
ml platform teams data scientists reliability and risk owners in regulated industries who need consistent AI quality governance and incident response
Capabilities
CodeQL (GitHub)
Pull Request Checks Professional
Reusable Libraries Professional
Variant Analysis Professional
SARIF and Dashboards Intermediate
Fiddler AI
Quality and drift Professional
Root cause analysis Professional
Safety guardrails Professional
Enterprise controls Professional
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