/ Product Profile
    Zenity

    AI Exposure Management

    Validates which AI agents attackers could actually exploit and prioritizes risk by correlating identity, data, and behavior signals into complete attack paths.

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    Core capabilities

    Attack path validation that correlates identity data and behavior signals into complete exploitable attack chains
    Boundaries enforcement with runtime policy rules that allow modify or block agent actions
    Runtime verification confirming theoretical risks are actually reachable before surfacing findings
    Unified risk scoring with consistent 0-100 severity ratings across platforms

    Common use cases

    01

    credential access monitoring

    02

    cross-agent data poisoning detection

    03

    data exfiltration prevention via untrusted triggers

    04

    privileged action protection from untrusted inputs

    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 Zenity AI Exposure Management

    Zenity AI Exposure Management pricing and integrations

    For Zenity AI Exposure Management 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 Picari.