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Free Tool · IT & Compliance

Data Breach Financial Liability Risk Assessor

Compute institutional regulatory fine exposure based on PII record counts, breach severity, and jurisdiction — GDPR, PDPA, or local frameworks.

Runs entirely in your browser · No login · No data uploaded · For planning purposes only

Breach Scenario
Additional Cost Factors

Configure the breach scenario and click Assess Liability to model regulatory fine exposure.

How to Assess Data Breach Liability in 3 Steps

Follow these steps to get results in under a minute

01
Define the breach scenario
Enter the number of PII records potentially exposed, select the applicable regulatory jurisdiction (GDPR, PDPA, CCPA, or local), choose the breach type, and rate the severity level.
02
Add cost factors
Enter the per-person notification cost, estimated legal and remediation lump-sum expenses, and a reputational risk multiplier (1.0 = base, 3.0 = severe reputational damage) to model the full financial exposure.
03
Review and print the liability assessment
Click Assess Liability to see the regulatory fine range, notification costs, remediation costs, and total exposure estimate. Print the assessment for risk committee review and insurance submissions.

How Breach Risk Assessor Compares

vs spreadsheets, manual processes, and paid platforms

Feature UniCloud360 Breach Risk Assessor Manual EstimateLegal Consultant BriefEnterprise GRC Platform
Multi-jurisdiction fine modelling GDPR,PDPA,CCPA,local Single framework ⚠️ Legal brief needed ⚠️ Config required
Record-count scaled fine range Low–high estimate Manual lookup ⚠️ Rough estimate Yes
Notification cost calculation Per-person × records Excluded ⚠️ Separate estimate ⚠️ Separate module
Reputational risk multiplier Configurable factor Not quantified Not quantified ⚠️ Separate assessment
Print-ready risk committee report One-click ⚠️ Legal doc format ⚠️ Formal engagement ⚠️ Scheduled export
Cost Free forever ⚠️ Guesswork Consulting fees Enterprise licence

What IT and Compliance Teams Are Saying

Trusted by lecturers and students across Sri Lankan universities

4.9
★★★★★
4 reviews
CJ
Dr. Chaminda Jayawardena
Chief Information Security Officer
★★★★★

"We use this in our annual risk committee presentation. The regulatory fine range gives the board a concrete financial figure to associate with our cybersecurity investment decisions — something vague risk language never achieved."

DF
Dilhara Fernando
Data Protection Officer
★★★★★

"The multi-jurisdiction selector is exactly what we needed. We have partner institutions in Singapore and the EU — being able to model GDPR vs PDPA exposure in the same session saves significant time when preparing cross-border risk assessments."

NS
Nimali Senanayake
IT Compliance Manager
★★★★★

"The reputational multiplier is the feature our insurers asked for. Quantifying reputational damage as a factor of the base fine helped us justify a higher cyber liability coverage tier to management."

KR
Kasun Rathnayake
IT Risk Analyst
★★★★☆

"The disclaimer at the bottom is important — this is a planning tool, not legal advice. But for initial risk quantification before engaging external counsel, it gives us a credible ballpark that makes those conversations much more productive."