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    Product · Menlo Security

    AI Adaptive DLP

    Automatic, real-time AI-based detection and masking of sensitive data without blocking file usage.

    Start with a briefWebsite

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    Recommend and Save apply to Menlo Security.

    Mid-to-large enterprises seeking low-friction, browser-level data protection that masks sensitive information in real time without halting user workflows.

    Best for
    • In-line data masking without disrupting productivity
    • Preventing PII/sensitive data leakage to GenAI tools
    • Cloud browser-based data protection
    May not be ideal if
    • Comprehensive on-premise endpoint and removable media DLP
    • Organizations needing deep offline file inspection
    • Environments seeking a standalone, full-suite enterprise DLP replacement
    Next Step
    Considering AI Adaptive DLP?

    Ask about pricing, alternatives, or if AI Adaptive DLP is right for you.

    • Personalized fit analysis
    • See relevant alternatives
    • Run an evaluation when you're ready
    AI-based detection of PII, PHI, financial and PCI data
    Real-time data masking of unstructured files
    Support across browsers, email, collaboration tools, and cloud storage
    BYOD support
    01

    Compliance with regulatory frameworks

    02

    Protecting sensitive data in hybrid workforces

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

    Ask Picari about Menlo Security AI Adaptive DLP

    Frameworks Menlo Security AI Adaptive DLP reports for security, privacy, and regulatory compliance.

    GDPR

    EU data protection compliance

    Publicly available

    PCI DSS

    Payment card data security standard

    Publicly available

    For Menlo Security AI Adaptive DLP 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.