AI Security Posture
AI Security Tools Compared: Protect AI, Calypso, Garak
This comparison details three AI security tools—Protect AI, Calypso, and Garak—highlighting features, deployment models, compliance support, and cost factors for enterprise buyers evaluating AI security posture solutions.
Enterprises adopting AI face increasing risks related to data leakage, model tampering, and regulatory compliance. Selecting an appropriate AI security tool requires comparing capabilities such as threat detection, risk management, and governance features. This listicle evaluates three AI security solutions—Protect AI, Calypso, and Garak—focusing on their commercial and open-source status, deployment options, compliance alignment, and pricing to aid enterprise decision-making.
Protect AI
Protect AI is a commercial AI security platform that emphasizes model and data protection, threat detection, and risk posture assessment. It supports deployment both on-premises and via cloud SaaS. Protect AI integrates with leading MLOps platforms such as Databricks and AWS SageMaker to monitor model integrity continuously.
The platform features an AI-specific security risk scoring engine based on MITRE ATT&CK for Machine Learning, facilitating proactive threat identification. Protect AI offers compliance modules covering GDPR, CCPA, and the upcoming EU AI Act, including automated audit reporting features. Pricing starts around $100,000 per year for mid-sized enterprises, with volume discounts for multi-cloud deployments.
Calypso
Calypso is an open-source AI security framework developed by a consortium including the Linux Foundation AI. It specializes in model certification, secure model lifecycle management, and vulnerability scanning with a DevSecOps focus. Calypso supports Kubernetes-native deployment and integrates with CI/CD pipelines for continuous security validation.
Calypso implements NIST AI risk management guidelines and offers plugin support for custom compliance frameworks. Its modular design allows enterprises to tailor security controls, including adversarial attack detection and bias risk assessment. There is no licensing cost, but operational overhead may require dedicated engineering resources.
Garak
Garak is a commercial AI governance and security platform focused on explainability, audit trails, and policy enforcement. It provides real-time monitoring of AI decision pipelines and features a no-code interface for defining security policies. Garak’s cloud-native SaaS model supports multi-tenant environments with role-based access control.
The platform maps AI security events to compliance requirements like HIPAA and SOC 2, supporting automated incident response workflows. Garak is priced on a per-instance basis, starting around $50,000 annually, targeting mid-market customers prioritizing governance over threat detection.
Comparative summary
Protect AI excels in threat detection and risk scoring tailored to ML operational environments, suitable for enterprises with mature security teams and hybrid deployments. Calypso offers cost-effective, customizable security aligned with recognized frameworks but demands significant engineering effort for integration and management. Garak prioritizes AI governance and explainability with user-friendly policy controls, appealing to compliance-focused organizations seeking SaaS simplicity.
| Feature | Protect AI | Calypso | Garak |
|---|---|---|---|
| License | Commercial | Open-source | Commercial |
| Deployment model | Cloud SaaS or on-prem | Kubernetes-native | Cloud SaaS |
| Primary focus | Model protection and threat detection | Model certification and vulnerability scanning | Governance and compliance policy enforcement |
| Compliance frameworks supported | GDPR, CCPA, EU AI Act | NIST AI RMF, customizable | HIPAA, SOC 2 |
| Integration | Databricks, AWS SageMaker | CI/CD pipelines, custom plugins | No-code policy UI |
| Pricing estimate | From $100K/year | Free (operational cost applies) | From $50K/year |
| Target customer | Enterprises with mature AI ops | Open-source adopters with dev resources | Mid-market, compliance-driven firms |
Key factors to consider when choosing AI security tools
- Evaluate integration ease with existing AI/ML platforms.
- Assess the organization's capacity for managing open-source tooling.
- Match compliance support to regulatory requirements specific to your industry.
- Consider deployment models aligned with your IT environment and security policies.
- Balance specialized AI threat detection with governance and audit trail needs.
- Budget for both licensing and operational overhead when selecting solutions.