Which NetConductor component provides built-in AI-powered client visibility and fingerprinting capability that leverages infrastructure telemetry and ML-based classification models to eliminate network blind spots?

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Multiple Choice

Which NetConductor component provides built-in AI-powered client visibility and fingerprinting capability that leverages infrastructure telemetry and ML-based classification models to eliminate network blind spots?

Explanation:
Client Insights delivers AI-powered client visibility and fingerprinting by turning telemetry from the network and endpoints into precise fingerprints using machine learning. This enables accurate identification of every device’s type, OS, and behavior across the fabric, closing network blind spots that can hide rogue or misconfigured clients. The other components serve different functions—Cloud Auth handles cloud-based user authentication, The Fabric Wizard assists with fabric deployment, and Policy Manager governs policy enforcement—so they don’t provide the built-in AI-driven client fingerprinting and telemetry-based visibility described here.

Client Insights delivers AI-powered client visibility and fingerprinting by turning telemetry from the network and endpoints into precise fingerprints using machine learning. This enables accurate identification of every device’s type, OS, and behavior across the fabric, closing network blind spots that can hide rogue or misconfigured clients. The other components serve different functions—Cloud Auth handles cloud-based user authentication, The Fabric Wizard assists with fabric deployment, and Policy Manager governs policy enforcement—so they don’t provide the built-in AI-driven client fingerprinting and telemetry-based visibility described here.

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