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    Code

    Analyzes application source code using AI to identify vulnerabilities that traditional pattern-matching tools miss.

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    SAST

    Picari insights

    Mid-market to enterprise cloud-native organizations, especially existing Wiz CNAPP customers, seeking to correlate source code vulnerabilities directly with runtime cloud risk.

    Best for
    • Code-to-cloud vulnerability tracing
    • Reducing false positives via context-aware AI scanning
    • Unified AppSec and CNAPP governance
    May not be ideal if
    • Legacy on-premises environments without cloud deployments
    • Teams seeking mature, standalone SAST/DAST tools with deep non-cloud legacy language support
    • Organizations unwilling to adopt AI-assisted code review models
    Next Step
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    Core capabilities

    AI-powered code vulnerability discovery with attacker mindset
    Automated 1-click remediation via pull requests
    Automatic code-to-cloud correlation with running resources
    Developer IDE integration with cloud and AI context

    Common use cases

    01

    Preventing security issues from reaching production

    02

    Secure AI application development

    Things to consider

    Every product has trade-offs, and which of them matter depends on your environment, your team and your timeline.

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    Wiz Code pricing and integrations

    For Wiz Code integration and pricing details, ask Picari. Start a briefing with your question, such as whether it connects to your SIEM, identity provider and ticketing stack, or how it is priced at your seat count and data volume.

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    Profile last updated on 9 October 2026 by Picari.