AI Risk Management
Govern personal data used in AI and ML systems
As AI systems proliferate, so do privacy risks. TruePrivacy helps you identify personal data flowing into AI models, assess automated decision-making risks, and implement the privacy controls required by GDPR Article 22 and the EU AI Act.
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EU AI Act risk tiers classified
100%
AI systems inventoried
Article 22
GDPR compliance verified
Auto
DPIA triggering
How It Works
- 1
Inventory AI Systems
Discover and register all AI and ML systems in use across your organization, including third-party AI tools and internally developed models. Classify each by EU AI Act risk tier.
- 2
Map Personal Data Flows
Trace the flow of personal data into AI training sets, inference pipelines, and output systems. Identify data categories and assess appropriateness under privacy law.
- 3
Assess Automated Decision-Making Risk
Evaluate each AI system for GDPR Article 22 applicability — whether it makes solely automated decisions with significant effects — and document required safeguards.
- 4
Implement Controls and Document
Apply data minimization controls, document DPIAs, establish human review processes, and generate the bias and fairness documentation required by the EU AI Act.
Benefits
EU AI Act Readiness
Classify your AI systems by risk tier (unacceptable, high, limited, minimal) and generate the compliance documentation required for each tier before enforcement begins.
GDPR Article 22 Compliance
Identify automated decision-making systems that require human oversight, opt-out mechanisms, and meaningful explanation capabilities — and verify controls are in place.
Proactive Bias Documentation
Generate the bias assessments and fairness documentation required by the EU AI Act's technical documentation requirements before regulators request them.
Data Minimization in ML
Enforce data minimization principles on ML training sets — identifying and removing unnecessary personal data before models are trained.
Key Features
- AI system data inventory
- Automated decision-making risk assessment
- Profiling and high-risk processing identification
- AI-specific DPIA templates
- Bias and fairness documentation
- Data minimization controls for ML training sets
Detailed Capabilities
AI System Registry
Maintain a central inventory of all AI systems with EU AI Act risk classifications, deployment contexts, and personal data inputs documented.
Automated Decision-Making Assessment
Structured assessments determine whether each AI system constitutes solely automated decision-making under GDPR Article 22 and what safeguards are required.
AI-Specific DPIA Templates
Purpose-built DPIA templates for AI systems capture the additional risk factors specific to ML — training data provenance, model explainability, and output validation.
Training Data Governance
Review and govern personal data in ML training sets, flagging sensitive categories, unnecessary personal data, and data that lacks a valid lawful basis for ML use.
Bias and Fairness Reports
Generate structured bias assessments for high-risk AI systems documenting the evaluation methodology, findings, and mitigation measures implemented.
Human Oversight Workflow
Implement and document human review processes for automated decisions, ensuring individuals can request human intervention and receive explanations.
Who It Helps
Regulations Covered
Frequently Asked Questions
The EU AI Act covers AI systems placed on the market or put into service in the EU. It classifies systems into risk tiers — unacceptable risk (banned), high risk (strict requirements), limited risk (transparency obligations), and minimal risk (voluntary codes).
Article 22 applies when AI makes solely automated decisions that produce legal or similarly significant effects on individuals — such as credit scoring, recruitment screening, or insurance pricing without human involvement.
Yes. Third-party AI tools you deploy are included in the AI system inventory. TruePrivacy assesses what personal data flows to these tools and whether your vendor DPAs cover the AI processing adequately.
High-risk systems require technical documentation covering system design, training data, performance metrics, bias assessments, human oversight measures, and conformity assessments. TruePrivacy templates cover all required elements.
TruePrivacy includes a human oversight workflow module that documents how individuals can request human review of automated decisions and how meaningful explanations are provided, satisfying GDPR Article 22(3) requirements.
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