Ten agent workflows for the Zero Trust Team — continuous domain verification, microsegmentation intelligence, identity-aware access decisions, trust score computation, never-trust-always-verify policy enforcement, lateral movement prevention, application access governance, dynamic policy adaptation, zero trust maturity assessment, and vendor zero trust posture validation — enabling data-driven zero trust decisions powered by comprehensive domain intelligence.
AI agent implements continuous trust verification for every external domain accessed by users and systems — computing real-time trust scores based on 20 page types and enrichment data, replacing static allow/deny lists with dynamic trust decisions.
AI agent combines user identity context (role, department, clearance level) with domain trust scores to make granular access decisions — ensuring that sensitive roles only access verified, high-trust domains while allowing broader access for lower-risk roles.
AI agent provides domain intelligence to inform microsegmentation policies — determining which external domains each network segment should be allowed to reach, based on the segment's function and the domain's verified purpose and trust level.
AI agent implements trust score decay — domains that haven't been re-verified or whose enrichment data has changed must earn trust again, preventing the accumulation of stale trust that could be exploited through domain takeover or compromise.
AI agent governs which web applications users can access by evaluating each application domain's security posture, compliance status, and trust score — replacing manual application whitelisting with intelligent, data-driven access decisions.
AI agent assesses the trustworthiness of third-party vendors that require network access or data integration — using domain intelligence as a comprehensive digital due diligence layer for vendor onboarding and ongoing monitoring.
AI agent provides domain intelligence to detect and prevent lateral movement — identifying when compromised systems begin communicating with unusual external domains that differ from their normal baseline of trusted services.
AI agent dynamically adapts zero trust policies based on changing domain intelligence — automatically tightening or loosening access controls as domain trust scores change, threat landscapes shift, or new intelligence becomes available.
AI agent assesses the organization's zero trust maturity by analyzing how domain intelligence is integrated across identity, device, network, application, and data pillars — benchmarking against CISA Zero Trust Maturity Model standards.
AI agent extends zero trust principles to the entire supply chain — continuously verifying the trust level of every vendor, partner, and supplier domain that connects to enterprise systems, ensuring no implicit trust is granted to any external entity.
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