AI TOOL PROFILE

CAST Highlight: Software Intelligence and Code Analysis

CAST Highlight helps organizations manage application portfolios by analyzing source code. It is designed for teams that need to evaluate cloud readiness and manage open-source vulnerabilities.

Pricing

Pricing was not clearly available from the provided evidence. Buyers should confirm current pricing on the vendor website. A free trial is mentioned as available.

At a glance

Best for
Software companies, Portfolio managers, Cloud architects, Enterprise technology leads
Key use cases
Cloud Migration Planning, Open Source Risk Management, Technical Debt Prioritization, Compliance Auditing
Integrations
Azure DevOps, Jenkins, GitHub Actions, GitLab, Atlassian Jira
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How AI is used

CAST Highlight is a SaaS-based software intelligence platform designed to provide a high-level view of an application portfolio. It analyzes source code across more than 40 technologies to help organizations identify technical debt, assess cloud maturity, and manage open-source software risks.

The tool is built for technology leaders who need to make decisions about modernization, such as migrating to the cloud or upgrading legacy frameworks. It provides metrics on software health, resiliency, and agility. Analysis is performed locally, so source code does not leave the customer's infrastructure.

Buyers should note that the platform requires a local agent, CLI, or Docker image to perform scanning. It does not currently interface directly with source code configuration management tools, meaning code must be extracted into accessible folders for analysis.

Integration with CI/CD pipelines is supported through a scriptable command line and REST API, which supports automated scans as part of a development lifecycle.

Key Features

  • Cloud Maturity Analysis

    Identifies code-level blockers and boosters to help determine the effort and sequence for migrating applications to the cloud.

  • Software Composition Analysis (SCA)

    Detects open-source components to identify security vulnerabilities (CVEs), license compliance issues, and technology obsolescence.

  • Technical Debt Evaluation

    Estimates the effort required to fix code issues based on detected patterns and technology-specific effort estimates.

  • Software Health Indicators

    Scores applications based on resiliency, agility, and elegance to evaluate compliance with programming best practices.

  • AI Advisor and Application Briefings

    Uses generative AI to provide insights and summaries based on the software intelligence data.

  • Keyword Scanning

    Searches source code for specific keywords to support GDPR assessments or identify hard-coded secrets.

  • Green Impact Scoring

    Analyzes code to estimate the environmental impact and identify patterns that may hinder energy efficiency.

Use Cases

  • Cloud Migration Planning

    Using the Cloud Migration Wave Advisor to segment portfolios and sequence applications for migration to PaaS or containers.

  • Open Source Risk Management

    Monitoring third-party libraries for known vulnerabilities and license conflicts using SCA dashboards.

  • Technical Debt Prioritization

    Identifying which applications in a portfolio require remediation effort to improve maintainability.

  • Compliance Auditing

    Running keyword scans to identify PII data handling for GDPR compliance assessments.

Integrations

  • Azure DevOps
  • Jenkins
  • GitHub Actions
  • GitLab
  • Atlassian Jira
  • Atlassian BitBucket
  • Excel export
  • XML export
  • REST API

FAQ

Does my source code leave my infrastructure when using CAST Highlight?

No. The analysis is performed locally by an agent on your infrastructure. Only the results of the analysis and survey data are uploaded to the SaaS portal.

What technologies does CAST Highlight support?

The platform supports over 40 technologies, including Java, C#, .NET, Python, JavaScript, and COBOL.

How does the tool integrate with CI/CD pipelines?

It provides a scriptable command line, a Docker image, and extensions for tools such as Azure DevOps, Jenkins, GitHub Actions, and GitLab.

Can I automate the scanning process?

Yes, the command line interface allows for automated source code scans and result uploads, which can be integrated into development cycles.

Source category: Software Development

Source subcategory: Code Analysis

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