Compare products
Put two or three cybersecurity products side by side and see how they differ on deployment, pricing, features, integrations and compliance.
| Product | Prisma AIRS View product | Vertex AI Governance by Google Cloud View product |
|---|---|---|
| Overview | ||
| What it is | Prisma AIRS: real-time prompt injection prevention and model output data loss prevention. Built for model governance auditing. Compare Security Operations alternatives. | Vertex AI Governance, from Google Cloud, provides model evaluation metrics. Common uses: AI risk management. Check deployment options and top AI Governance competitors. |
| Product type | AI Runtime Security & Model Risk Defense Platform | AI Model Governance, Monitoring & Lineage Platform |
| Best for | Cross-industry, Technology, Financial Services, Healthcare | Financial Services, Healthcare, Technology, Enterprise, Cross-industry, Enterprise Data Science, Regulated AI Industries |
| Pricing | ||
| Pricing model | Contact Vendor | Contact Vendor |
| Free trial | Free trial: yes | Free trial: yes |
| Deployment | ||
| Deployment options | SaaSCloud | Cloud |
| Deployment details | Cloud; Container sidecar; API proxy; Inline API proxy; Container sidecar in Kubernetes; SaaS evaluation engine | Cloud; Google Cloud |
| Data residency | Customer-designated cloud hosting regions (US, EU) | Customer-selected Google Cloud region |
| Key features | ||
| What it offers |
|
|
| Platform & access | ||
| API access | API access: yes | API access: yes |
| Single sign-on (SSO) | SSO: yes | SSO: yes |
| Role-based access (RBAC) | RBAC: yes | RBAC: yes |
| Multi-tenant | Multi-tenant: yes | Multi-tenant: yes |
| Mobile app | Mobile app: no | Mobile app: no |
| Supported platforms | Public and private cloud AI deploymentsKubernetesPython AI frameworks | Vertex AICustom ML modelsFoundation modelsGenerative AI pipelines |
| Compliance | NIST AI Risk Management Framework, EU AI Act compliance support, ISO 27001, SOC 2 | ISO/IEC 42001NIST AI RMFEU AI Act readinessSOC 2ISO 27001 |
| Integrations & coverage | ||
| Integrations | OpenAIAWS BedrockMicrosoft Azure AILangChainLlamaIndexHugging FaceCortex XSOAR | Vertex AI Model RegistryBigQueryCloud IAMCloud KMSCloud Audit LogsSecurity Command Center |
| Industries | Cross-industryTechnologyFinancial ServicesHealthcare | Financial ServicesHealthcareTechnologyEnterpriseCross-industryEnterprise Data Science+1 more |
| Regions | Global | Google Cloud regions supporting Vertex AI |
| Vendor | ||
| Company | Palo Alto Networks | Google Cloud |
| Headquarters | Santa Clara, California, USA | Mountain View, California, USA |
| Company size | 15,000+ | 100,000+ |
| Founded | 2005 | 2008 |
Overview
What it is
Prisma AIRS
Prisma AIRS: real-time prompt injection prevention and model output data loss prevention. Built for model governance auditing. Compare Security Operations alternatives.Vertex AI Governance
Vertex AI Governance, from Google Cloud, provides model evaluation metrics. Common uses: AI risk management. Check deployment options and top AI Governance competitors.Product type
Prisma AIRS
AI Runtime Security & Model Risk Defense PlatformVertex AI Governance
AI Model Governance, Monitoring & Lineage PlatformBest for
Prisma AIRS
Cross-industry, Technology, Financial Services, HealthcareVertex AI Governance
Financial Services, Healthcare, Technology, Enterprise, Cross-industry, Enterprise Data Science, Regulated AI IndustriesPricing
Pricing model
Prisma AIRS
Contact VendorVertex AI Governance
Contact VendorFree trial
Prisma AIRS
Free trial: yesVertex AI Governance
Free trial: yesDeployment
Deployment options
Prisma AIRS
SaaSCloud
Vertex AI Governance
Cloud
Deployment details
Prisma AIRS
Cloud; Container sidecar; API proxy; Inline API proxy; Container sidecar in Kubernetes; SaaS evaluation engineVertex AI Governance
Cloud; Google CloudData residency
Prisma AIRS
Customer-designated cloud hosting regions (US, EU)Vertex AI Governance
Customer-selected Google Cloud regionKey features
What it offers
Prisma AIRS
- Real-time prompt injection prevention
- Model output data loss prevention
- AI red teaming automation
- LLM agent communication monitoring
- Model vulnerability scanning
- Insecure API call blocking
- Unit 42 AI threat intelligence
- Generative AI application security
Vertex AI Governance
- Vertex AI ML Metadata tracking
- Model evaluation metrics
- Data and concept drift monitoring
- Explainable AI feature attribution
- Generative AI safety filters
- AI risk management
- Model lineage tracking
- Generative AI safety auditing
Platform & access
API access
Prisma AIRS
API access: yesVertex AI Governance
API access: yesSingle sign-on (SSO)
Prisma AIRS
SSO: yesVertex AI Governance
SSO: yesRole-based access (RBAC)
Prisma AIRS
RBAC: yesVertex AI Governance
RBAC: yesMulti-tenant
Prisma AIRS
Multi-tenant: yesVertex AI Governance
Multi-tenant: yesMobile app
Prisma AIRS
Mobile app: noVertex AI Governance
Mobile app: noSupported platforms
Prisma AIRS
Public and private cloud AI deploymentsKubernetesPython AI frameworks
Vertex AI Governance
Vertex AICustom ML modelsFoundation modelsGenerative AI pipelines
Compliance
Prisma AIRS
NIST AI Risk Management Framework, EU AI Act compliance support, ISO 27001, SOC 2
Vertex AI Governance
ISO/IEC 42001NIST AI RMFEU AI Act readinessSOC 2ISO 27001
Integrations & coverage
Integrations
Prisma AIRS
OpenAIAWS BedrockMicrosoft Azure AILangChainLlamaIndexHugging FaceCortex XSOAR
Vertex AI Governance
Vertex AI Model RegistryBigQueryCloud IAMCloud KMSCloud Audit LogsSecurity Command Center
Industries
Prisma AIRS
Cross-industryTechnologyFinancial ServicesHealthcare
Vertex AI Governance
Financial ServicesHealthcareTechnologyEnterpriseCross-industryEnterprise Data Science+1 more
Regions
Prisma AIRS
Global
Vertex AI Governance
Google Cloud regions supporting Vertex AI
Vendor
Company
Prisma AIRS
Palo Alto NetworksVertex AI Governance
Google CloudHeadquarters
Prisma AIRS
Santa Clara, California, USAVertex AI Governance
Mountain View, California, USACompany size
Prisma AIRS
15,000+Vertex AI Governance
100,000+Founded
Prisma AIRS
2005Vertex AI Governance
2008