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    Product · Bishop Fox (CAST)

    AIMap

    Map your AI attack surface before attackers do.

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    MLSecOps

    Picari insights

    Mid-to-large enterprises with sprawling, public-facing web environments seeking offensive security visibility into undocumented or vulnerable AI endpoints and APIs.

    Best for
    • Uncovering shadow or undocumented AI/LLM endpoints across external infrastructure
    • Assessing external exposure to prompt injection and system prompt extraction
    • Prioritizing AI-specific security debt via risk scoring
    May not be ideal if
    • Internal-only, on-premises LLM deployments behind strict zero-trust perimeters
    • Real-time runtime guardrails and inline prompt filtering
    • Non-technical compliance teams needing automated governance frameworks
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    Core capabilities

    Discovers exposed AI agent infrastructure at internet scale
    Fingerprints and identifies AI endpoints including MCP servers and LLM proxies
    Generates risk scores for vulnerabilities and misconfigurations
    Performs active security testing on discovered systems

    Common use cases

    01

    Executive reporting on AI security posture

    02

    Incident response for compromised endpoints

    03

    Security assessment of AI endpoints

    04

    Threat hunting for exposed AI infrastructure

    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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    Bishop Fox (CAST) AIMap pricing and integrations

    For Bishop Fox (CAST) AIMap 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.