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    Runtime AI Protection

    Safeguards open-source AI models, LLM frameworks, and agent workflows

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    AI Runtime & Agent Security

    Picari insights

    Mid-market to enterprise engineering organizations deploying self-hosted open-source AI models, LLM frameworks, and autonomous agents in production environments.

    Best for
    • Securing open-source LLMs and frameworks at runtime
    • Detecting data exfiltration from agentic workflows
    • Protecting against model tampering and supply chain risks in inference environments
    May not be ideal if
    • Organizations relying exclusively on managed SaaS model APIs (e.g., standard OpenAI API calls without local infrastructure)
    • Teams only seeking pre-deployment prompt evaluation or red teaming
    • Environments lacking dedicated runtime application security or containerized AI pipelines
    Next Step
    Considering Runtime AI Protection?

    Ask about pricing, alternatives, or if Runtime AI Protection is right for you.

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

    Core capabilities

    Inspect model files and dependencies in GPU/CPU memory
    Prevents AI agents from making unvetted egress API calls
    Real-time insight into shadow AI components running in clusters
    Safeguards open-source AI models against malicious exploits

    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 Oligo Security Runtime AI Protection

    Oligo Security Runtime AI Protection pricing and integrations

    For Oligo Security Runtime AI Protection 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 Oligo Security Runtime AI Protection pricingAsk Picari about Oligo Security Runtime AI Protection integrations

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    Profile last updated on 24 September 2026 by Picari.