CodeQL (GitHub) vs CalypsoAI
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23% Similar — based on 3 shared tags
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.
Enterprise AI security that defends prompts and outputs in real time, red teams LLM applications, and provides centralized policy controls for using AI safely across apps agents and data.
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
- Real time defense: Inspect prompts and outputs to stop data leakage jailbreaks and harmful content before reaching users
- Outcome analysis: Explain guardrail decisions to analysts so tuning remains transparent and fast during incidents
- Red teaming: Continuously exercise models apps and agents to uncover bypasses and prioritize mitigations with evidence
- Central policy: Apply rules across vendors models and apps with a control plane that integrates to SIEM and SOAR
- Audit trails: Log prompts responses and actions with metadata to support compliance and forensic investigations
- Model agnostic: Protect hosted SaaS and self hosted models to future proof guardrails as model portfolios evolve
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
- LLM guardrails: Enforce policies that prevent PII exfiltration IP leakage and unsafe actions in chat apps and copilots
- Agent safety: Inspect tool calls and outputs to block risky actions in autonomous or semi autonomous workflows
- Content safety: Filter toxic or disallowed material for consumer facing experiences and community platforms
- Regulatory readiness: Produce logs and reports that map to AI safety policies and data protection frameworks
- Incident response: Route alerts to SIEM or SOAR and provide evidence packages for faster triage and learning
- Vendor neutrality: Secure multiple model providers under one policy framework to avoid lock in and gaps
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
CISO offices ML platform teams risk leaders and product security groups that need centralized AI guardrails red teaming and auditability to deploy AI safely at scale
Capabilities
Pull Request Checks Professional
Reusable Libraries Professional
Variant Analysis Professional
SARIF and Dashboards Intermediate
Real Time Guardrails Enterprise
Continuous Red Teaming Enterprise
Central Policy Plane Enterprise
Outcome Analysis Professional
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