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    DeepKeep for LLM

    AI Runtime & Agent Security

    AI-native security and trustworthiness for large language models enabling enterprises to leverage LLMs in a secure, risk-free way.

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    Core capabilities

    Adaptive evaluation and robustness testing
    Real-time detection and guardrails for AI models
    Run-time protection for agentic systems
    Visibility and access control across teams

    Common use cases

    01

    Autonomous AI workflows and agents

    02

    Customer-facing AI applications with guardrails

    03

    Securing internal LLM chatbots

    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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    Security & compliance

    Frameworks DeepKeep for LLM reports for security, privacy, and regulatory compliance.

    SOC 2 Type II

    AICPA security & availability audit

    ISO/IEC 27001

    Information security management standard

    GDPR

    EU data protection compliance

    DeepKeep for LLM pricing and integrations

    For DeepKeep for LLM 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 7 September 2026 by the vendor, DeepKeep.