Unified cloud-native application protection with AI-powered threat prevention and automated remediation
Prisma Cloud is Palo Alto Networks' unified Cloud Native Application Protection Platform (CNAPP) that consolidates security across the entire cloud infrastructure lifecycle. The platform leverages AI and machine learning to deliver threat prevention, intelligent risk prioritization, and automated remediation—eliminating the need for fragmented legacy security tools. It provides comprehensive visibility and control across Infrastructure-as-Code (IaC), container images, Kubernetes clusters, serverless functions, and runtime cloud workloads. Organizations gain unified security posture management, vulnerability detection, misconfigurations remediation, and compliance monitoring in a single platform. AiDOOS enhances Prisma Cloud deployment by providing expert managed services for implementation, governance optimization, custom integration development, and 24/7 specialized support—enabling enterprises to accelerate cloud security maturity while reducing operational overhead and ensuring best-practice configurations aligned with industry standards.
Enterprises managing AWS, Azure, and GCP environments consolidate fragmented security tools into a single platform, reducing tool complexity and improving visibility across clouds.
Development and DevSecOps teams secure containerized applications from build to production, protecting container images, registries, and running Kubernetes clusters.
Regulated industries maintain continuous compliance across distributed cloud infrastructure, automating policy enforcement and generating audit-ready compliance reports.
Security teams embed Prisma Cloud into CI/CD pipelines, shifting security left to detect and prevent issues before production deployment.
Prisma Cloud pricing is customized based on your team size, integrations, and requirements. AiDOOS will get you a scoped proposal — for free.
Proactive detection and blocking of cloud-native threats
Prevents breaches before they occur with ML-driven threat intelligenceFocus security teams on what matters most
Reduces noise by 60%, enabling focus on critical risks onlySelf-healing cloud infrastructure
Automatically fixes misconfigurations and reduces manual remediation by 70%Secure cloud resources before deployment
Catches policy violations at build-time, preventing vulnerable deploymentsContinuous monitoring of live workloads
Detects and stops attacks on containers, Kubernetes, and serverless functionsMulti-framework compliance across clouds
Maintains compliance with CIS, PCI-DSS, HIPAA, SOC 2 with automated reportingAiDOOS-verified review data is collected after deployment. Deploy this product and be among the first to share your experience.
Native integration with AWS for EC2, ECS, Lambda, and S3 security monitoring
Full Azure ecosystem integration including AKS, App Service, and Azure DevOps
GCP integration for GKE, Cloud Run, and Compute Engine security
Comprehensive Kubernetes security monitoring and admission control
Docker image scanning and registry integration for container security
Infrastructure-as-Code scanning and policy enforcement for Terraform templates
CI/CD pipeline integration for automated security scanning in build process
Integration for ticketing and incident management automation
AiDOOS handles setup, CRM integration, SSO config, and user provisioning. Your team goes live — not your IT department.
Pre-vetted experts and AI agents in the loop, assembled as a delivery pod. Pay in Delivery Units — universal pricing across roles, seniority, and tech stacks. No hiring, no contracting, no procurement cycle.
Outcome-based delivery via AiDOOS’s VDC model. Why VDC vs traditional consulting? →
Pay for results, not hours
Clear deliverables at each phase
Access to certified specialists