Request for Proposal: Cloud-Native Application Protection Platform (CNAPP)
Table of Contents
- Overview
- Key Components
- Functional Requirements
- Technical Requirements
- Additional Requirements
- Vendor Evaluation Criteria
- Submission Requirements
- Timeline
1. Overview
We are seeking proposals for a comprehensive Cloud-Native Application Protection Platform (CNAPP) to safeguard our cloud-native applications throughout their entire lifecycle. The solution should provide integrated security functions, offering comprehensive visibility, consistent policy enforcement, and robust protection across our diverse cloud environments.
2. Key Components
The proposed solution must include the following key components:
2.1. Cloud Security Posture Management (CSPM)
2.2. Cloud Workload Protection Platform (CWPP)
2.3. Cloud Infrastructure Entitlement Management (CIEM)
2.4. DevSecOps Integration
2.5. Runtime Protection
3. Functional Requirements
3.1. Unified Visibility
Tip: A robust unified visibility solution is crucial for maintaining comprehensive security oversight. Look for solutions that provide real-time monitoring capabilities and can integrate data from multiple sources into a single, coherent view. Consider the depth of visibility across different cloud services and the ability to customize views based on different stakeholder needs.
Requirement |
Sub-Requirement |
Y/N |
Notes |
Unified Visibility |
Centralized view of security across all cloud resources and services |
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Visibility into configurations |
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Visibility into assets |
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Visibility into permissions |
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Visibility into code |
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Visibility into workloads |
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3.2. Automated Compliance
Tip: Automated compliance capabilities should reduce manual oversight while ensuring continuous regulatory adherence. Evaluate solutions based on their ability to automatically detect, report, and remediate compliance violations across multiple regulatory frameworks.
Requirement |
Sub-Requirement |
Y/N |
Notes |
Automated Compliance |
Continuous assessment of compliance with industry standards |
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Continuous enforcement of compliance with industry standards |
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Streamlined adherence to regulatory requirements through monitoring |
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Streamlined adherence to regulatory requirements through reporting |
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3.3. Threat Detection and Response
Tip: Advanced threat detection and response capabilities should leverage both traditional and AI-enhanced methods. Look for solutions that can detect threats in real-time and provide actionable response recommendations.
Requirement |
Sub-Requirement |
Y/N |
Notes |
Threat Detection and Response |
Real-time identification of threats across application lifecycle |
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Real-time mitigation of threats across application lifecycle |
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AI-enhanced threat detection using advanced analytics |
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AI-enhanced threat detection using predictive analysis |
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Smart Cloud Detection & Response (CDR) implementation |
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Real-time threat detection with intent analysis |
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3.4. Policy Management
Tip: Effective policy management requires both consistency and intelligence. Evaluate solutions based on their ability to maintain uniform security policies across diverse environments while leveraging AI to optimize and adapt policies based on emerging threats and organizational needs.
Requirement |
Sub-Requirement |
Y/N |
Notes |
Policy Management |
Consistent definition of security policies across environments |
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Consistent enforcement of security policies across environments |
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AI-enhanced policy management capabilities |
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Intelligent policy recommendations |
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3.5. Scalability
Tip: Scalability is essential for growing organizations. Look for solutions that can seamlessly scale with your infrastructure while maintaining performance. Consider both horizontal and vertical scaling capabilities, as well as the ability to handle sudden spikes in workload.
Requirement |
Sub-Requirement |
Y/N |
Notes |
Scalability |
Ability to adapt to dynamic cloud environments |
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Support for growing workloads |
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Performance maintenance at scale |
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3.6. Integration Capabilities
Tip: Integration capabilities are crucial for creating a cohesive security ecosystem. Evaluate solutions based on their ability to integrate with your existing toolchain and the ease of implementing new integrations.
Requirement |
Sub-Requirement |
Y/N |
Notes |
Integration Capabilities |
Seamless integration with existing development tools |
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Seamless integration with security tools |
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Seamless integration with cloud management tools |
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Easy integration with SecOps ecosystems for real-time alerting |
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3.7. Multi-Cloud Security Coverage
Tip: Comprehensive multi-cloud security is essential in today’s diverse cloud environments. Look for solutions that provide consistent security controls across all major cloud providers while maintaining awareness of provider-specific nuances.
Requirement |
Sub-Requirement |
Y/N |
Notes |
Multi-Cloud Security Coverage |
Visibility across IaaS environments |
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Visibility across PaaS environments |
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Visibility across serverless environments |
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Support for AWS |
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Support for Azure |
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Support for Google Cloud |
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3.8. Infrastructure as Code (IaC) Scanning
Tip: IaC scanning capabilities should detect security issues early in the development lifecycle. Look for solutions that integrate with your development workflow and provide actionable remediation guidance.
Requirement |
Sub-Requirement |
Y/N |
Notes |
Infrastructure as Code Scanning |
Detection of security vulnerabilities in infrastructure code before deployment |
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Support for multiple IaC frameworks |
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Pre-deployment validation |
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Security best practices enforcement |
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3.9. Container and Kubernetes Scanning
Tip: Container security requires comprehensive scanning throughout the container lifecycle. Evaluate solutions based on their ability to scan container images, detect runtime vulnerabilities, and provide Kubernetes-specific security controls.
Requirement |
Sub-Requirement |
Y/N |
Notes |
Container and Kubernetes Scanning |
Identification of vulnerabilities within containerized applications |
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Runtime container security monitoring |
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Kubernetes cluster security assessment |
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Container image scanning |
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3.10. Data Protection
Tip: Data protection capabilities should cover data at rest and in motion. Look for solutions that provide comprehensive data security controls, including classification, encryption, and access monitoring.
Requirement |
Sub-Requirement |
Y/N |
Notes |
Data Protection |
Monitoring of data for potential exfiltration |
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Data classification capabilities |
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Data inspection capabilities |
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Prevention of data exfiltration |
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3.11. Risk Prioritization
Tip: Effective risk prioritization helps focus security efforts on the most critical threats. Look for solutions that use AI to analyze risks in context of your environment and business impact.
Requirement |
Sub-Requirement |
Y/N |
Notes |
Risk Prioritization |
AI-powered analysis of risks |
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AI-powered prioritization of risks |
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Correlation of vulnerabilities |
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Context analysis across development lifecycle |
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Relationship mapping across development lifecycle |
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3.12. AI-Powered Security for Enterprise-Built AI Apps
Tip: Security for AI applications requires specialized capabilities. Look for solutions that understand AI/ML workload patterns and can protect against AI-specific threats.
Requirement |
Sub-Requirement |
Y/N |
Notes |
AI App Security |
Security posture for GenAI applications |
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Threat protection for GenAI applications |
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AI security posture management (AI-SPM) |
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AI workload discovery capabilities |
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AI workload security capabilities |
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3.13. GenAI-Driven Remediation
Tip: GenAI remediation should provide actionable, context-aware solutions. Evaluate the quality and practicality of AI-generated remediation suggestions.
Requirement |
Sub-Requirement |
Y/N |
Notes |
GenAI-Driven Remediation |
Context-aware remediation suggestions using generative AI |
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Console guidelines generation |
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CLI commands generation |
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Code snippets generation |
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3.14. AI-Powered Alert Triage and Prioritization
Tip: Alert management should effectively reduce noise while ensuring critical issues are addressed. Look for solutions that use AI to intelligently categorize and prioritize alerts.
Requirement |
Sub-Requirement |
Y/N |
Notes |
Alert Triage and Prioritization |
AI/ML models for alert analysis |
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AI/ML models for alert categorization |
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AI/ML models for alert prioritization |
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Alert fatigue reduction capabilities |
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3.15. Contextual Enrichment with AI
Tip: Contextual enrichment should provide meaningful insights for better decision-making. Look for solutions that can intelligently combine multiple data sources to provide richer context.
Requirement |
Sub-Requirement |
Y/N |
Notes |
Contextual Enrichment |
AI-driven enrichment of alert data |
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Informed decision-making support |
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Business impact analysis integration |
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Prioritization processes enhancement |
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3.16. Adaptive AI Learning
Tip: Adaptive learning capabilities ensure continuous improvement of security measures. Look for solutions that can learn from your environment and adapt to new threats.
Requirement |
Sub-Requirement |
Y/N |
Notes |
Adaptive AI Learning |
Continuous improvement of AI recommendations |
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Feedback loops implementation |
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Cross-CNAPP contextual learning |
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Quick integration of new security coverage |
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3.17. Security Graph Query
Tip: Security graph query capabilities should provide powerful yet user-friendly analysis tools. Look for solutions that offer both visual and programmatic interfaces for security data analysis.
Requirement |
Sub-Requirement |
Y/N |
Notes |
Security Graph Query |
Comprehensive search across cloud providers |
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Security data visualization tools |
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Security policy creation from query builder |
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Security policy management capabilities |
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4. Technical Requirements
4.1. Platform Architecture
- Cloud-native design
- Microservices architecture
- Scalable infrastructure
- High availability
4.2. Integration Capabilities
- API-first design
- DevOps tool integration
- SIEM integration
- Custom integration support
4.3. Performance Standards
- Real-time processing
- Minimal latency
- Scalable performance
- Resource optimization
4.4. AI and Machine Learning
- Advanced ML models
- Real-time analysis
- Predictive capabilities
- Continuous learning
5. Additional Requirements
5.1. User Interface
- Intuitive web-based interface
- Customizable dashboards
- Role-based access control
- Mobile accessibility
5.2. Deployment Options
- SaaS deployment
- Hybrid deployment options
- Multi-region support
- Disaster recovery
5.3. Support and Training
- 24/7 technical support
- Comprehensive documentation
- Training resources
- Professional services
5.4. Performance and Scalability
- Enterprise-scale support
- Performance guarantees
- Scalability metrics
- Growth accommodation
6. Vendor Evaluation Criteria
Criterion |
Weight |
Description |
CNAPP Solution Completeness |
20% |
Comprehensive coverage of required functionality |
AI/ML Capabilities |
15% |
Strength of AI and machine learning features |
Multi-Cloud Support |
15% |
Coverage and integration across cloud providers |
Scalability |
10% |
Performance at enterprise scale |
User Experience |
10% |
Interface usability and accessibility |
Analytics |
10% |
Reporting and insight capabilities |
Compliance |
10% |
Regulatory coverage and certifications |
Support |
5% |
Technical support and professional services |
Cost |
5% |
Total cost of ownership |
7. Submission Requirements
7.1. Technical Proposal
- Detailed solution architecture
- Feature coverage matrix
- Integration capabilities
- AI/ML capabilities
- Security controls
7.2. Implementation Plan
- Deployment methodology
- Timeline
- Resource requirements
- Risk mitigation
7.3. Pricing Structure
- Licensing model
- Implementation costs
- Support costs
- Training costs
7.4. Company Information
- Experience
- Case studies
- References
- Innovation roadmap
7.5. Support Details
- SLA terms
- Support levels
- Training approach
- Professional services
8. Timeline
- RFP Release Date: [Date]
- Questions Deadline: [Date]
- Proposal Due Date: [Date]
- Vendor Presentations: [Date Range]
- Selection Date: [Date]
- Project Start Date: [Date]
Contact Information:
Please submit proposals and questions to: [Contact Name] [Email Address] [Phone Number]