CodeQL (GitHub) vs Arthur 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
A
Arthur AI
Model and agent evaluation and monitoring platform with dashboards, alerts, guardrails and a transparent Premium plan for small teams plus enterprise options.
Pricing Free / Starts $60 per month
Category security
Difficulty Beginner
Type Web App
Status Active
Feature Tags Comparison
Only in CodeQL (GitHub)
code-scanningsecuritystatic-analysisqueriesci
Shared
None
Only in Arthur AI
monitoringgovernanceagentsdriftbiasalerts
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
Arthur AI
- • Dashboards for model and agent KPIs with version comparison
- • Custom metrics and slices to track drift and fairness
- • Real time alerts via webhooks email and chat
- • Agent traces showing tool calls outcomes and errors
- • Guardrails and policy checks for safer responses
- • Free, Premium, and Enterprise 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
Arthur AI
- → Track LLM answer quality and escalate low confidence cases
- → Monitor drift and fairness for credit or risk models
- → Alert ops when agent tool calls fail or exceed latency
- → Compare model or prompt versions before full rollout
- → Export reports for audits and leadership reviews
- → Correlate traffic spikes with error clusters to triage
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
Arthur AI
MLOps leaders, platform teams, and product owners who need evaluation, monitoring, and governance to scale models and agents responsibly
Capabilities
CodeQL (GitHub)
Pull Request Checks Professional
Reusable Libraries Professional
Variant Analysis Professional
SARIF and Dashboards Intermediate
Arthur AI
Dashboards and Slices Professional
Incidents and Webhooks Intermediate
Agents and Tools Intermediate
Policies and Access Professional
Need more details? Visit the full tool pages: