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    AI Agent Security

    Protects autonomous AI agents from invisible attacks and malicious instructions embedded in web pages.

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    AI Runtime & Agent Security

    Picari insights

    Enterprise security and engineering teams deploying autonomous AI agents that interact with and retrieve untrusted content from the public web.

    Best for
    • Autonomous agents browsing external web content
    • Preventing indirect prompt injection from third-party sites
    • Sanitizing web-derived data before LLM ingestion
    May not be ideal if
    • Static, internal-only AI models with no external web access
    • Full-lifecycle AI model development and training governance
    • Organizations lacking dedicated autonomous agent initiatives
    Next Step
    Considering AI Agent Security?

    Ask about pricing, alternatives, or if AI Agent Security is right for you.

    • Personalized fit analysis
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    • Run an evaluation when you're ready

    Core capabilities

    Data access navigates legacy web UIs and retrieves data with policy controls
    DLP integration masks sensitive data before agent access
    File security sanitizes malicious payloads from documents
    Threat prevention strips malicious scripts and prompt injections from pages

    Common use cases

    01

    Data retrieval from legacy applications

    02

    Securing autonomous AI agent deployments

    Things to consider

    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 Agent Security

    Menlo Security AI Agent Security pricing and integrations

    For Menlo Security AI Agent Security 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.

    Ask Picari about Menlo Security AI Agent Security pricingAsk Picari about Menlo Security AI Agent Security integrations

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    Profile last updated on 28 September 2026 by Picari.