AI Risk Assessment in Minutes, Not Months
Risk Meridian automatically scores every AI system in your portfolio across six risk dimensions — impact, likelihood, regulatory exposure, control maturity, data sensitivity, and deployment scale. Generate audit-ready risk reports instantly.
6
Risk dimensions scored
< 10 min
Time to first risk score
100%
Regulatory framework coverage
What Is an AI Risk Assessment?
An AI risk assessment is a structured evaluation of an AI system's potential to cause harm — to individuals, to your organization, or to society — and of the adequacy of your existing controls to mitigate that harm.
Unlike a general IT risk assessment, AI risk assessment must account for unique characteristics of machine learning systems: model drift, training data bias, explainability gaps, and the amplification of harm at scale. A single AI model making hiring decisions can affect thousands of applicants per month — the stakes are fundamentally different from a conventional software bug.
Most AI regulations now require documented risk assessments. The Texas Responsible AI Governance Act (TRAIGA) mandates them for AI systems used in consequential decisions. The EU AI Act requires conformity assessments for high-risk AI systems. The NIST AI RMF codifies risk identification and measurement as two of its four core functions.
Risk Meridian's risk assessment engine automates the entire process — from intake to scoring to report generation — so your compliance team can focus on remediation rather than spreadsheet administration.
Key regulatory requirements
- Texas TRAIGA — risk assessments required for consequential AI decisions
- EU AI Act — conformity assessments for all Annex III high-risk systems
- NIST AI RMF — Map + Measure functions require formal risk analysis
- Colorado AI Act — risk assessment for high-risk algorithmic decisions
- HIPAA — risk analysis for AI systems processing protected health information
The Risk Meridian Risk Model
Six Dimensions. One Composite Risk Score.
Risk Meridian evaluates every AI system across six risk dimensions. Each dimension is scored 0–100 and weighted by regulatory relevance. The composite score tells you exactly where to focus your governance effort.
Impact Severity
How severe is the potential harm if this AI system produces an incorrect or biased output? Risk Meridian scores impact across physical, financial, reputational, and civil rights dimensions.
- Clinical decision support — patient harm potential
- Credit scoring — financial exclusion risk
- Hiring AI — employment discrimination risk
- Fraud detection — false positive rate impact
Likelihood of Harm
How probable is it that a harmful outcome occurs, given the system's technical design, training data quality, deployment context, and existing safeguards?
- Model accuracy and error rate benchmarks
- Training data quality and bias indicators
- Human-in-the-loop oversight controls
- Deployment volume and affected population size
Regulatory Exposure
Which regulatory frameworks apply to this AI system — and what obligations do they trigger? Risk Meridian maps every system to TRAIGA, EU AI Act, NIST AI RMF, HIPAA, and other applicable rules.
- Texas TRAIGA — consequential decision thresholds
- EU AI Act — prohibited and high-risk classifications
- NIST AI RMF — govern, map, measure, manage tiers
- HIPAA — clinical AI data handling requirements
Control Maturity
How mature are the governance controls currently in place for this system? Risk Meridian measures control completion, overdue items, and gaps relative to your regulatory obligations.
- Disclosure and transparency controls
- Bias monitoring and audit frequency
- Incident response procedures
- Human oversight documentation
Data Sensitivity
What categories of personal, sensitive, or protected data does the AI system process? Higher data sensitivity increases both regulatory obligations and potential harm severity.
- Protected health information (PHI)
- Biometric and genetic data
- Financial and credit information
- Demographic and protected class attributes
Deployment Scale
How many individuals are affected by this AI system's decisions, and how frequently? Scale amplifies both impact and regulatory scrutiny — a system affecting 10,000 people requires more rigorous oversight than one affecting 10.
- Monthly active decisions volume
- Geographic distribution of affected individuals
- Automated vs. human-assisted decision split
- Real-time vs. batch processing mode
Risk Classification
From Score to Action: The Four Risk Bands
Risk Meridian converts composite risk scores into four actionable bands. Each band triggers a defined governance response — so your team always knows exactly what to do next.
Score 85–100
Immediate governance action required. Regulatory exposure is highest.
- Mandatory board-level disclosure
- Dedicated risk owner assignment
- 90-day control remediation plan
- External audit recommended
Score 65–84
Significant governance gaps. Priority remediation within 60 days.
- Senior management notification
- Control gap remediation plan
- Quarterly risk review cadence
- Enhanced monitoring protocols
Score 40–64
Governance program in place. Targeted improvements needed.
- Control completion within 90 days
- Semi-annual risk review
- Maintain incident log
- Annual third-party review
Score 0–39
Well-governed. Standard monitoring cadence is sufficient.
- Annual risk review
- Maintain documentation currency
- Periodic control audits
- Monitor for scope changes
How It Works
From Intake to Audit-Ready Report in Hours
Risk Meridian guides you through a six-step workflow that takes an AI system from first registration to a complete, board-ready risk assessment — with no manual scoring required at any step.
Register Your AI System
Add an AI system to your Risk Meridian inventory using the guided intake form. Answer questions about purpose, data inputs, decision outputs, and deployment context.
The intake form takes 5–10 minutes per system. Risk Meridian uses your answers to pre-populate the risk model — no manual scoring required.
Automated Risk Scoring
Risk Meridian's risk engine instantly scores the system across all six dimensions — impact, likelihood, regulatory exposure, control maturity, data sensitivity, and deployment scale.
Scoring is fully automated and recalculates in real time as you update controls, add incidents, or change system metadata. No analyst intervention needed.
Review Risk Profile & Gaps
Examine the detailed risk profile: composite score, band (Critical / High / Moderate / Low), dimension breakdown, and the specific control gaps driving elevated scores.
Risk Meridian surfaces each gap with a plain-English remediation recommendation, an estimated effort level, and a link to the relevant regulatory requirement.
Auto-Create Controls
With one click, Risk Meridian's control auto-creation engine generates a tailored governance control set for the system — mapped to TRAIGA, EU AI Act, NIST AI RMF, and any other applicable frameworks.
Each control is pre-populated with title, description, regulatory mapping, suggested owner, and a recommended due date based on your risk band.
Track Remediation & Re-score
As your team completes controls, marks incidents resolved, and improves governance maturity, the risk score updates automatically — giving you a live view of your residual risk.
Set review cadences, assign owners, and receive automated reminders for overdue controls. Risk Meridian tracks every change in the audit log.
Generate Risk Reports
Export board-ready PDF risk reports, regulatory evidence packages, and compliance certificates at any time. Every report is timestamped and signed with an audit trail.
Reports include the full risk score history, control completion status, open incidents, and a regulatory readiness assessment for each applicable framework.
Multi-Framework Coverage
One Assessment. Every Regulation.
Risk Meridian maps every AI risk assessment to all applicable regulatory frameworks simultaneously — so you never have to duplicate work.
Texas TRAIGA
SupportedRisk assessments for AI used in consequential decisions affecting Texas residents.
Learn more
EU AI Act
SupportedConformity assessments, technical documentation, and post-market monitoring for Annex III systems.
Learn more
NIST AI RMF
SupportedMap and Measure function documentation aligned to NIST AI RMF 1.0.
Learn more
ISO 42001
SupportedAI management system risk treatment documentation for ISO 42001 certification.
Learn more
Colorado AI Act
SupportedHigh-risk algorithmic decision risk assessment documentation.
Learn more
HIPAA
SupportedRisk analysis for AI systems processing protected health information.
Learn more
Frequently Asked Questions
- What is an AI risk assessment?
- An AI risk assessment is a structured evaluation of an AI system's potential to cause harm — to individuals, to organizations, or to society — and of the adequacy of existing controls to mitigate that harm. It typically covers impact severity, likelihood of harmful outcomes, regulatory exposure, and the maturity of the governance program surrounding the system. Most AI regulations, including the Texas TRAIGA, EU AI Act, and NIST AI RMF, require documented risk assessments for AI systems used in consequential decisions.
- How does Risk Meridian calculate AI risk scores?
- Risk Meridian scores each AI system across six dimensions: impact severity, likelihood of harm, regulatory exposure, control maturity, data sensitivity, and deployment scale. Each dimension is scored 0–100 based on the system's metadata, deployed controls, and incident history. The composite risk score is a weighted average of the six dimension scores, with regulatory exposure and impact severity carrying the highest weights. Scores recalculate automatically whenever system data, controls, or incidents are updated.
- Which regulations require a formal AI risk assessment?
- The Texas Responsible AI Governance Act (TRAIGA) requires risk assessments for AI systems used in consequential decisions affecting Texas residents. The EU AI Act mandates conformity assessments for high-risk AI systems. NIST AI RMF's 'Map' and 'Measure' functions formalize risk identification and analysis. HIPAA requires risk analysis for AI systems processing protected health information. Colorado's AI Act and several other US state laws include similar requirements. Risk Meridian maps each system to all applicable frameworks automatically.
- How long does an AI risk assessment take with Risk Meridian?
- The initial system intake takes 5–10 minutes per AI system. Risk scoring is instant — Risk Meridian calculates the composite score and dimension breakdown the moment you complete the intake form. Reviewing the risk profile and gap analysis typically takes 15–30 minutes. Auto-creating controls takes one click. Most organizations complete their first end-to-end AI risk assessment — from intake to a board-ready report — in under two hours per system.
- What is the difference between inherent risk and residual risk in AI?
- Inherent risk is the risk level of an AI system before any controls or mitigations are applied — essentially the raw exposure based on the system's purpose, data, and deployment context. Residual risk is the risk level after controls are in place and operating effectively. Risk Meridian tracks both: the inherent risk score is calculated at intake based on system characteristics, while the residual risk score decreases as you complete controls and remediate gaps. The gap between the two shows you how much risk reduction your governance program is delivering.
- Can Risk Meridian assess AI risk for healthcare AI systems?
- Yes. Risk Meridian includes a dedicated healthcare AI risk module that applies HIPAA, TRAIGA, and clinical AI governance requirements. Healthcare-specific dimensions include PHI data handling, clinical decision support oversight, patient safety impact, and hospital board reporting obligations. Risk Meridian automatically applies the healthcare risk overlay to any AI system categorised as clinical decision support, patient scheduling, diagnostic imaging, or similar healthcare use cases.
- Does Risk Meridian support the EU AI Act risk classification?
- Yes. Risk Meridian maps every AI system to the EU AI Act's four-tier risk classification: unacceptable risk (prohibited), high risk (conformity assessment required), limited risk (transparency obligations), and minimal risk (no specific obligations). For high-risk systems, Risk Meridian auto-generates the required conformity assessment documentation, technical documentation, and post-market monitoring plan. For prohibited use cases, Risk Meridian flags the system immediately and blocks it from advancing through the governance workflow.
- How does Risk Meridian handle risk assessment for multiple AI systems?
- Risk Meridian is designed for portfolio-level AI governance. The dashboard shows all AI systems in your inventory ranked by risk score, so your team always knows which systems need the most urgent attention. You can filter by risk band, regulatory framework, business unit, or data type. Bulk operations let you apply a control template to multiple systems at once. Executive and board reports aggregate risk across the entire portfolio — not just individual systems.
Run Your First AI Risk Assessment Today
Inventory your AI systems, get automated risk scores, and generate a board-ready risk report — all in under two hours.
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