Security tools only see a sliver. Discover how triangulation reveals the whole in the AI Interaction Data Fabric Insights.

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AI Security & Governance

AI Platform Overview
AI Asset Visibility
AI Compliance Readiness
AI Risk Quantification (AIRQ)
AI Security Browser Extension
AI Third-Party Risk Management

Cyber Risk Quantification

Platform

CRQ Platform Overview
Top-Down Scenarios
Cyber Risk Register
(Bottom-Up Scenarios)
Portfolio Analysis
Decision Simulator
Insurance Data Insights
Scenario Intelligence
Continuous Control Monitoring

Use Cases

High-Risk Scenario Identification
Cybersecurity Board Reporting
Budget Justification
CRQ for M&A Due Diligence
Cyber Materiality Analysis
Continuous Control Monitoring (CCM)
Cyber Governance, Risk, Compliance
CRQ Use Cases by Industry

Risk Advisory Services

AI Advisory
Managed CRQ Program
Event Response
EU AI Act Compliance

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AI Interaction Data Fabric Insights
Free Tools
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Trust.Kovrr

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AI Interaction Data Fabric Insights

Building a Real-Time AI Inventory

August 4, 2026

AI Inventory FAQs

Speak to an Expert

What is the AI Interaction Data Fabric?

The AI Interaction Data Fabric is the layer inside Kovrr's AI Security and Governance Platform that draws telemetry from every connected source into one analytical view, spanning network, identity, browser, endpoint, cloud, and the AI Vendor Risk Catalog. Signals that each source records in isolation get triangulated into a single dated and attributed finding. Exposure that stays invisible to any one console surfaces once the sources are read against one another.

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Why does a manual AI inventory fall out of date so quickly?

A survey-based inventory captures a single point in time, and the AI estate changes almost immediately afterward. Employees onboard tools without procurement, departments license AI software directly, and vendors embed models into existing products through silent updates, so an application that was AI-free at the last audit may process corporate data through a language model today. Research puts enterprises at more than three times the AI tools their registries reflect. A quarterly cadence produces a register that spends most of its life describing an environment that no longer exists.

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How does continuous discovery find shadow AI a survey misses?

Manual discovery depends on what people know to report, and the largest exposure sits where no survey reaches, inside the approved platforms employees already trust. The fabric surfaces every AI asset from connected telemetry rather than a questionnaire, whether the asset is sanctioned or shadow, internal or third-party, standalone or embedded inside a vendor product. A tool can first appear as anomalous network traffic, gain context from identity and endpoint signals, then resolve into a full picture once browser-level telemetry shows which teams use it and with what data. Discovery becomes a standing condition rather than a scheduled scramble.

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How does an AI inventory support regulatory compliance?

The EU AI Act, NIST AI RMF, and ISO 42001 all treat the AI system inventory as the foundation every other control depends on, from risk classification to conformity documentation. A living inventory maps discovered assets against those frameworks automatically, so each entry carries the classification and evidence an audit requires. The same telemetry that builds the inventory feeds risk quantification, which means the assets carrying the greatest financial exposure surface alongside the compliance picture. Regulatory readiness holds continuously rather than being reconstructed before each audit.

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Kovrr is a leading provider of AI and cyber risk, security, and governance solutions, helping global organizations evaluate exposure, quantify potential business impact, and strengthen resilience with data-driven insights. The platform gives security, risk, and compliance teams the comprehensive visibility and intelligence they need to manage risk continuously and at scale.

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AI Security Platform Overview AI Asset Visibility AI Compliance Readiness AI Risk Quantification (AIRQ)AI Security Browser Extension AI Third-Party Risk Management

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CRQ Platform Overview Top-Down Scenarios Cyber Risk Register (Bottom-Up Scenarios)Cybersecurity Maturity Assessments Enhanced by CRQ Portfolio Analysis Insurance Data Insights Continuous Control Monitoring

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