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Cloud Workload Scanning

Comprehensive security assessment for your cloud workloads across AWS, Azure, and Google Cloud Platform with DeepTraq's advanced scanning capabilities.

Overview​

Cloud workload scanning provides deep visibility into your cloud infrastructure security posture by analyzing:

  • Virtual machines and containers
  • Serverless functions and applications
  • Databases and data stores
  • Network configurations and access controls
  • Storage buckets and file systems

Supported Cloud Services​

Amazon Web Services (AWS)​

  • Compute: EC2 instances, Auto Scaling Groups, Elastic Beanstalk
  • Containers: ECS, EKS, Fargate
  • Serverless: Lambda functions, API Gateway
  • Storage: S3 buckets, EBS volumes, EFS file systems
  • Databases: RDS, DynamoDB, ElastiCache, Redshift
  • Networking: VPC, Security Groups, NACLs, Load Balancers

Microsoft Azure​

  • Compute: Virtual Machines, Virtual Machine Scale Sets, App Service
  • Containers: Container Instances, Kubernetes Service (AKS)
  • Serverless: Azure Functions, Logic Apps
  • Storage: Blob Storage, File Storage, Disk Storage
  • Databases: SQL Database, Cosmos DB, MySQL, PostgreSQL
  • Networking: Virtual Networks, Network Security Groups, Load Balancer

Google Cloud Platform (GCP)​

  • Compute: Compute Engine, App Engine, Cloud Functions
  • Containers: Google Kubernetes Engine (GKE), Cloud Run
  • Storage: Cloud Storage, Persistent Disk, Filestore
  • Databases: Cloud SQL, Firestore, BigQuery, Memorystore
  • Networking: VPC Networks, Firewall Rules, Load Balancing

Scanning Methodologies​

Agent-Based Scanning​

  • Deep Inspection: Install lightweight agents for comprehensive analysis
  • Runtime Protection: Real-time monitoring and threat detection
  • Performance Impact: Minimal resource consumption
  • OS Support: Windows, Linux, and container environments

Agentless Scanning​

  • API-Based: Leverage cloud provider APIs for configuration analysis
  • Zero Installation: No software deployment required
  • Configuration Assessment: Security settings and policy evaluation
  • Compliance Checking: Regulatory framework adherence

Hybrid Approach​

  • Best of Both: Combine agent-based and agentless methods
  • Comprehensive Coverage: Complete workload visibility
  • Flexible Deployment: Choose appropriate method per workload
  • Optimal Performance: Balance thoroughness with efficiency

Security Assessment Categories​

Vulnerability Management​

  • OS Vulnerabilities: Operating system security patches
  • Application Vulnerabilities: Software and library weaknesses
  • Container Vulnerabilities: Image and runtime security issues
  • Serverless Vulnerabilities: Function code and configuration risks

Configuration Security​

  • Security Groups: Network access control evaluation
  • IAM Policies: Identity and access management review
  • Encryption Settings: Data protection configuration
  • Logging Configuration: Audit trail and monitoring setup

Compliance Frameworks​

  • SOC 2: Security and availability controls
  • PCI DSS: Payment card industry standards
  • HIPAA: Healthcare data protection requirements
  • CIS Benchmarks: Industry-standard security configurations
  • NIST Framework: Comprehensive security guidelines

Scanning Process​

Initial Discovery​

  1. Asset Inventory: Identify all cloud workloads
  2. Classification: Categorize by type, environment, and criticality
  3. Dependency Mapping: Understand workload relationships
  4. Risk Assessment: Initial security posture evaluation

Deep Analysis​

  1. Vulnerability Scanning: Comprehensive security weakness detection
  2. Configuration Analysis: Security setting evaluation
  3. Access Review: Permission and privilege assessment
  4. Data Flow Analysis: Information security evaluation

Continuous Monitoring​

  1. Change Detection: Monitor configuration modifications
  2. New Threat Detection: Stay current with emerging vulnerabilities
  3. Compliance Monitoring: Ongoing regulatory adherence
  4. Performance Tracking: Security posture improvement metrics

Results and Reporting​

Findings Classification​

  • Critical: Immediate action required, high business impact
  • High: Important security issues, moderate business risk
  • Medium: Notable concerns, low to moderate risk
  • Low: Minor issues, minimal business impact
  • Informational: Best practice recommendations

Remediation Guidance​

  • Step-by-Step Instructions: Detailed fix procedures
  • Code Examples: Sample configurations and scripts
  • Best Practices: Industry-standard recommendations
  • Priority Recommendations: Risk-based remediation order

Integration and Automation​

  • SIEM Integration: Export findings to security platforms
  • Ticketing Systems: Automatic issue creation and tracking
  • DevOps Pipelines: Integrate scanning into CI/CD workflows
  • API Access: Programmatic access to scan results

Start securing your cloud workloads today with DeepTraq's comprehensive scanning capabilities.