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    Product · Astrix Security

    AI Agent Discovery

    Maintain real-time inventory of all AI agents, MCP servers, and NHIs, with context to understand risk and business usage.

    Start with a briefWebsite

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    Recommend and Save apply to Astrix Security.

    Security teams in mid-to-large enterprises seeking centralized visibility and identity governance over shadow AI agents, MCP servers, and non-human identities interacting with enterprise data.

    Best for
    • Cataloging shadow AI agents and MCP servers across cloud environments
    • Managing non-human identity (NHI) privileges linked to GenAI tooling
    • Quantifying business risk from rogue third-party API keys and secrets
    May not be ideal if
    • Organizations without active or planned agentic AI/MCP deployments
    • Teams seeking end-user prompt filtering or standard LLM application firewalls (WAF/firewall only)
    • Smaller businesses with basic, monolithic architectures needing simple secret stores
    Next Step
    Considering AI Agent Discovery?

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

    • Personalized fit analysis
    • See relevant alternatives
    • Run an evaluation when you're ready
    AI agent discovery and inventory management
    Identity Graph visualization of relationships
    MCP server discovery and governance
    Non-human identity and lifecycle management
    01

    agentic threat detection and response

    02

    AI agent discovery and governance

    03

    non-human identity lifecycle management

    04

    secret management

    Every product has trade-offs, and which of them matter depends on your environment, your team and your timeline.

    Ask Picari about Astrix Security AI Agent Discovery

    For Astrix Security AI Agent Discovery 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 24 September 2026 by Picari.