A unified compliance, governance, and responsible-AI page (EU AI Act aligned)
Last updated: January 16, 2026
1. Introduction
HeroBounce is an email validation and verification service that uses artificial intelligence to enhance catch-all detection, pattern discovery, and validation accuracy. HeroBounce is classified as a limited-risk AI system under the EU Artificial Intelligence Act.
This page explains how HeroBounce uses AI, how your data is handled, what safety measures we implement, and how we ensure responsible and transparent use of AI technologies for email validation.
2. Transparency: You Are Using an AI-Enhanced Service
HeroBounce uses artificial intelligence models to enhance email validation accuracy.
Some validation features use AI to detect patterns that traditional rule-based systems cannot identify.
When using HeroBounce:
✓You are using an AI-enhanced validation system, not just simple pattern matching
✓AI is used for catch-all detection and advanced pattern analysis
✓Validation results may occasionally contain uncertain classifications
✓AI-enhanced results should be reviewed alongside validation confidence scores
✓Final decisions about which emails to send to must be made by you
✓HeroBounce improves validation accuracy — it does not replace human judgment about email campaigns
3. How HeroBounce AI Works (High-Level Technical Overview)
3.1 Data You Provide
HeroBounce processes:
Email addresses you submit for validation
Bulk upload files (CSV, Excel, TXT)
API validation requests
Domain and MX record queries
SMTP server responses
Important: No fine-tuning or training is performed on your email addresses. Your data is processed for validation only.
3.2 Processing Workflow
1. You submit email addresses for validation (single, bulk, or via API)
2. HeroBounce performs standard validation checks:
• Syntax and format validation
• Domain and MX record verification
• SMTP server connection tests
• Disposable email detection
3. For advanced validation, AI models analyze:
• Catch-all domain patterns
• Email address structure patterns
• Risk indicators and anomalies
• Provider-specific behavior patterns
4. Validation results are returned with:
• Status (valid, invalid, risky, unknown)
• Confidence score
• Detailed validation metadata
• Reason codes for classification
3.3 What AI Models We Use
HeroBounce uses AI for pattern detection and catch-all analysis:
Large Language Models (LLMs) for pattern analysis and catch-all detection
Proprietary ML models for risk scoring and anomaly detection
Domain reputation and validation APIs
All models are used only for inference (analyzing patterns), not training.
We will update this page when significant model changes occur.
3.4 Where AI Processing Occurs
Depending on the AI feature and provider, inference may occur in:
The United States (third-party AI APIs)
The European Union (our core validation infrastructure)
Other regions as specified by third-party validation APIs
HeroBounce will publish updates here whenever processing locations or sub-processors change.
4. Data Governance and Safety
4.1 Your Email Data Is Not Used to Train Models
●HeroBounce never trains or fine-tunes AI models on your submitted email addresses
●Your email lists and validation results are not used to improve any third-party AI system
●Our AI providers do not use HeroBounce API data for model training (per enterprise API agreements)
●Email addresses are processed for validation purposes only
4.2 Data Minimization
We retain only what is required to operate the service:
Validation history: Complete history retained while your account is active for access and verification
Bulk upload files: CSV files deleted immediately after processing; results stored in validation history
Anonymized patterns: Domain email patterns (e.g., format structures) retained without personal data to improve catch-all detection
Usage statistics: Credit consumption tracked for billing purposes
Upon account closure, all personal validation data is permanently deleted within 30 days.
You may request early deletion of your validation data at any time through your account settings or by contacting support.
4.3 Anonymization & Pseudonymization
Whenever possible:
Email addresses sent to AI providers are processed without user identifiers
Internal logs use hashed identifiers instead of actual email addresses
Validation data is only accessed by support staff with your permission
API keys and credentials are encrypted at rest using AES-256
4.4 Data Security
All data in transit is encrypted using TLS 1.3
Database connections use SSL/TLS encryption
Email addresses are stored with user-level access controls
Authentication uses secure JWT tokens
Regular security audits are performed on infrastructure
Rate limiting prevents abuse and protects against attacks
5. Human Oversight & User Control
The EU AI Act requires that humans remain in control.
HeroBounce ensures this via:
✓You decide which email addresses to validate
✓You control which validation results to trust and act on
✓HeroBounce does not send emails on your behalf
✓Validation results include confidence scores and reason codes
✓You can re-validate addresses if results seem uncertain
✓You can configure AI-enhanced validation on/off based on your preferences
If a validation result seems incorrect or uncertain, you should use additional verification methods or contact support for human review.
6. Limitations of the System
AI-enhanced email validation systems are not perfect. HeroBounce may occasionally produce:
⚠False positives (marking valid emails as invalid)
⚠False negatives (marking invalid emails as valid)
⚠Uncertain classifications for catch-all domains
⚠Temporary failures due to email provider rate limits
⚠Misclassification of newly created email addresses
HeroBounce should NOT be used as the sole method for:
❌Legal compliance decisions (consult a lawyer about anti-spam laws)
❌High-stakes transactional emails (password resets, receipts) without fallback
❌Medical or emergency notifications
❌Financial account notifications without additional verification
HeroBounce is a validation tool — not a guarantee of deliverability. Always monitor bounce rates and engagement.
7. Risk Management Framework
HeroBounce maintains an internal process to identify, assess, and mitigate risks related to:
• AI model inaccuracies
• False positive/negative rates
• Data privacy breaches
• Service abuse
• API rate limit issues
• Performance degradation
Our mitigation strategies include:
1. Multi-layer validation (syntax, DNS, SMTP, AI pattern detection)
2. Confidence scoring (providing uncertainty metrics with each result)
3. Result caching (avoiding duplicate validations within 24 hours)
4. Rate limiting (preventing abuse and protecting infrastructure)
We review AI-related issues within 5–10 business days.
11. AI Model Change Log (Public)
We will update this section whenever major model or provider changes occur.
Date
Change
December 2025
Initial publication of the AI Transparency & Safety page
December 2025
LLM-based catch-all detection and pattern analysis deployed
January 2026
Updated provider information for competitive confidentiality
—
Future model updates will be listed here
12. Provider Information
AI Providers:
Type
Purpose
Data Processing Region
Large Language Model API
Catch-all detection, pattern analysis
United States
Proprietary ML Models
Risk scoring, anomaly detection
European Union
Specific provider names are withheld for competitive and security reasons. Contact us for GDPR-required sub-processor details.
Non-AI Third-Party Services:
Service
Purpose
Data Processing Region
SerpAPI
Google Search API for domain reputation checks
United States
Sub-processors are subject to their respective privacy policies. For a complete list of sub-processors and their privacy policies, please contact support@herobounce.com.
13. Summary
This page serves as HeroBounce's unified transparency, governance, and responsible-AI declaration under the EU Artificial Intelligence Act for limited-risk AI systems.
This document is maintained in compliance with the EU Artificial Intelligence Act (2024) and GDPR. It may be updated as regulations evolve or as our AI systems change.