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    Cisco AI Defense

    Cisco delivers the critical infrastructure to help organizations thrive in the AI era. By fusing networking, security, observability, and collaboration, we power how people and technology work together.

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    AI Runtime & Agent SecurityAI runtimemodel validation

    Picari insights

    Enterprise CISOs at organizations with complex hybrid or on-premises infrastructure looking to secure LLM runtimes, agent tool-calling, and network-level AI traffic using an established security vendor ecosystem.

    Best for
    • Enterprises with hybrid or on-premises AI deployments (e.g., AI PODs)
    • Organizations heavily invested in the Cisco Security Cloud ecosystem
    • Enforcing security and guardrails across autonomous AI agents and tool-call APIs
    May not be ideal if
    • Cloud-native startups looking for lightweight, standalone SaaS guardrails
    • Organizations with zero Cisco infrastructure or no plans to adopt Cisco Security Cloud
    • Teams prioritizing specialized, developer-first open-source security toolkits
    Next Step
    Considering Cisco AI Defense?

    Ask about pricing, alternatives, or if Cisco AI Defense is right for you.

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

    Core capabilities

    Agent runtime policy enforcement
    Applies monitor and enforce modes to record risk signals or block policy violations with auditable reasons for agent actions and middleware flows.
    AI model and application validation
    Algorithmically red teams models and applications to identify vulnerabilities before deployment, including adaptive single- and multi-turn testing in multiple languages.
    LangChain and ADK integration
    Integrates with LangChain middleware and Google Agent Development Kit to carry runtime security controls through local development and hosted agent runtimes.
    Prompt injection blocking
    Detects and blocks prompt injection and related manipulation attempts to reduce unsafe model behavior and data leakage during runtime.

    Common use cases

    01

    Developing proprietary AI with vulnerability detection

    02

    Managing employee access to third-party AI applications

    03

    Protecting against prompt injections and data leakage

    04

    Secure AI apps at runtime

    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 Cisco AI Defense

    Cisco AI Defense pricing and integrations

    For Cisco AI Defense 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 Cisco AI Defense pricingAsk Picari about Cisco AI Defense integrations

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    Profile last updated on 30 September 2026 by Picari.