What is the AI Assurance Plan module?

Kovrr's AI Assurance Plan transforms AI and GenAI assessment results into an actionable roadmap for measurable improvement. By analyzing maturity deltas, control criticality, and contextual risk, the plan identifies which initiatives yield the greatest progress. The outcome is a ranked, data-driven improvement strategy that supports defensible oversight, informed budgeting, and continuous advancement across frameworks such as NIST AI RMF, ISO 42001, and the EU AI Act.

How does Kovrr determine which governance improvements matter most?

The AI Assurance Plan evaluates each safeguard through quantitative scoring, weighted factors, and dependency analysis. It accounts for implementation effort, regulatory urgency, and risk-reduction potential to produce a transparent, defensible ranking of actions. This structured approach ensures teams focus resources on the initiatives that deliver the highest assurance value and return on effort.

Which AI governance frameworks does the module align with?

Kovrr's methodology maps directly to leading AI governance and security frameworks, including NIST AI RMF and ISO 42001, and aligns with regulatory standards such as the EU AI Act. This alignment ensures every prioritized action supports both compliance and resilience objectives. The approach adapts to organizational context, allowing teams to demonstrate measurable progress toward internal benchmarks and external expectations.

What outcomes can organizations expect after implementing it?

Organizations gain a defensible, data-backed roadmap that clarifies where to act first and how to justify each investment. The results enable leadership to communicate measurable progress, streamline remediation efforts, and continuously improve GenAI and AI governance maturity. Over time, the process strengthens accountability, reinforces compliance posture, and delivers verifiable evidence of ongoing risk reduction.

Map and Manage AI Exposure With the AI Risk Register

Kovrr’s AI Risk Register helps organizations identify and track every AI-related risk in one place. It connects each scenario to the systems and processes it affects, measures potential impact, and assigns ownership for oversight and response. The result is a living record of AI exposure that grows with the business, giving leaders a clear view of where action matters most.

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AI Risk Register table listing risk scenarios with ID, name, category, priority, impact, likelihood, status, response plan, and owner email.

Comprehensive Capabilities for Continuous AI Risk Governance

The AI Risk Register brings structure and intelligence to AI risk management. It helps teams capture every risk scenario, understand its potential impact, and take informed action.

Centralized Risk Inventory

Manage all AI-related risks in one organized workspace that updates as your environment changes.

Scenario
Management

Create and track risk scenarios with defined categories, severity levels, and ownership assignments.

Quantitative
Insights

Record likelihood, impact, and modeled loss data to maintain a complete view of significant exposure.

AI-Powered Recommendations

Generate contextual insights and response options through Kovrr’s continuously updated risk models.

Visualization
Matrix

View AI risk scenarios in a live 5×5 matrix to evaluate and compare severity and priority instantly.

Framework
Integration

Map each AI risk scenario to frameworks such as the NIST AI RMF, ISO 42001, and MITRE ATLAS with full traceability.

Ownership and Accountability

Assign responsible teams, monitor progress, and track all mitigation updates through a unified register.

Dynamic
Updates

Keep AI risk data current as new systems, threats, and compliance requirements emerge and evolve.

Audit-Ready Documentation

Attach relevant notes and evidence directly to each AI risk scenario for fast and reliable audit preparation.

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Create and Classify AI Risks With Complete Context

The AI Risk Register makes documenting and managing GenAI risk simple and consistent. Teams can seamlessly define new AI risk scenarios, categorize them by type or domain, and link them directly to the respective affected systems. Each risk register entry aligns with recognized frameworks and includes ownership, status, and control details, creating a complete, traceable record of AI exposure across the enterprise.

Form titled 'New AI Risk Scenario' with fields for Scenario ID, Scenario Name, Description, Scenario Category tagged as Privacy Risk, AI Asset tagged as OpenAI - GPT-4 Turbo, Initial Access Tactics tagged as Phishing, Cyber Event Type tagged as Data Exfiltration, Likelihood set to Possible, Impact set to Significant, and Impact Type tagged as Privacy Violation.

AI Risk Register dashboard showing a 5x5 risk prioritization matrix with severity and likelihood levels, and a sidebar with stats on top AI assets, common tactics, impact type distribution, and controls mapped to multiple scenarios.

Visualize and Prioritize AI Risk in Real Time

Kovrr’s AI Risk Register translates complex data into a visual representation of exposure. The 5×5 matrix helps teams understand the severity and likelihood of every scenario.

Plot each AI risk scenario according to impact and likelihood to highlight urgent risks.
Filter by category, ownership, or status to compare exposure across teams.
Track how targeted mitigation efforts shift risk placement on the matrix over time.
Export visuals and detailed summaries directly for executive and board reports.

This view turns GenAI risk into something tangible, supporting leaders as they move from reactive tracking to continuous, data-driven oversight.

Drill Into Quantitative AI Risks to Understand Exposure

Every AI risk scenario can be expanded into a detailed record that captures its full business and technical context.

View qualitative metrics like annual likelihood, event frequency, and modeled financial impact.
Examine data exposure types and affected systems to understand operational dependencies.
Assign owners, track mitigation progress, and document control effectiveness directly in the record.
Review linked MITRE ATLAS tactics and governance controls for traceable, audit-ready documentation.

This view transforms static risk entries into actionable profiles that evolve alongside GenAI systems, ensuring governance remains measurable and defensible.

Dashboard displaying real-time payment fraud detection failure risk with severe impact, expected likelihood, financial loss metrics, data exposure details, impact distribution, and risk management controls.

Dashboard screen showing AI Assurance Plan with a table of AI governance controls and a detailed view of notes and attachments for the selected control GOVERN-2 Accountability for AI Risk Governance.

Get AI-Generated Intelligence for Every Risk Scenario

AI-assisted analysis interprets each scenario and delivers guidance that helps teams act faster. Insights are drawn from real-world patterns to support informed mitigation planning.

Review qualitative assessments that explain why each scenario matters and how it compares to past incidents.
Access AI-generated recommendations that highlight relevant tactics and threat behaviors.
See suggested response actions tied to governance frameworks and best-practice safeguards.
Use insights to validate assumptions and refine your organization’s AI risk strategy over time.

These AI recommendations, curated to specific loss scenarios, give security and governance teams a faster path from analysis to action.

Turn AI Risk Oversight Into Lasting Advantage

Building a complete view of AI exposure gives leaders more than visibility. Moreso, it creates leverage and gives them data. The AI Risk Register helps organizations move faster, prove compliance, and make informed decisions rooted in evidence. By connecting governance with measurable insight, teams strengthen accountability and establish a framework for responsible, long-term AI adoption.

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From AI Visibility to Quantified Insight

While the AI Risk Register helps identify and track exposure, Kovrr’s AI Risk Quantification module measures its potential financial effect. Together, they create a complete view of GenAI risk, linking governance records with quantifiable insight for better investment and mitigation decisions.

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AI Risk Register FAQs

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