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CAST Highlight vs Densify Cloudex

What both publish

FactCAST HighlightDensify Cloudex
IntegrationsThe CAST Highlight Extensions Marketplace lists plugins for Azure DevOps, GitHub, Jira, BitBucket, and VS Code; the product page also names Microsoft Teams, Claude, ChatGPT, Gemini, and Copilot for instant answers.Listed integrations include Datadog, New Relic, Prometheus, Grafana, OpenTelemetry, JIRA, ServiceNow, Terraform, Helm, and Karpenter.
Intended usersCAST describes the platform for organization-wide IT portfolios, with portfolio managers administering instances and application owners contributing scans and survey answers.Kubex identifies SREs, platform engineering teams, FinOps and cloud operations teams, and engineering leaders as intended users.
SecurityCAST says the SaaS platform is ISO 27001 certified and stores analysis results in a client-reserved cloud hosted on AWS, Microsoft Azure, or Google Cloud; source code and database scripts are not uploaded.Kubex says it uses TLS 1.2 or higher for data in transit, AES-256 encryption at rest, and daily immutable encrypted backups stored offsite within AWS.
SupportAnnual subscriptions include complementary concierge services from a dedicated CAST specialist for kickoff, setup, interpreting results, best practices, e-learning, certification, and follow-up.The product page offers a free cloud assessment with no commitment and a separate option to book a demo.

CAST Highlight plans

  • Complete Insights (single application)$6,800 a year
  • Cloud Insights$30,800 a year
  • SCA Insights$33,000 a year
  • Complete Edition$44,000 a year

Densify Cloudex plans

  • Custom quotePriced on request

Pick CAST Highlight if…

CAST describes Highlight for organization-wide IT portfolios, with portfolio managers administering instances and application owners contributing scans and survey answers. It may suit teams evaluating application health, cloud readiness, open-source risk, or AI opportunities across a portfolio.

Pick Densify Cloudex if…

Cloudex is aimed at SREs, platform engineering, FinOps, cloud operations teams, and engineering leaders managing supported cloud workloads. It may suit teams seeking policy-based recommendations and guardrails across cloud environments.

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