1. Definitions and Interpretations

For the purposes of this Policy, the following terms shall have the following meanings:

• "Artificial Intelligence Systems" refers to our machine learning models, neural networks, and other AI-powered technologies that process user data to provide our Services.
• "Personal Data" means any information that can be used to identify a natural person, directly or indirectly, in particular by reference to an identifier such as a name, identification number, location data, online identifier, or to one or more factors specific to the physical, physiological, genetic, mental, economic, cultural, or social identity of that person.
• "Sensitive Personal Data" includes passwords, financial information, health data, biometric information, genetic data, racial or ethnic origin, political opinions, religious or philosophical beliefs, trade union membership, and data concerning a natural person's sex life or sexual orientation.
• "Training Data" refers to data used to train our AI models, which may include anonymized user data and publicly available datasets.
• "Model Outputs" means the results, predictions, recommendations, or other outputs generated by our AI systems based on user inputs.

2. Scope and Applicability

This Policy applies to:

• All users of our Services, including individual users, corporate clients, and their authorized representatives
• All data processing activities conducted through our AI-powered software solutions
• All geographic locations where our Services are accessed, subject to local law variations
• All forms of data collection, whether automated or manual
• All third-party integrations and API connections

3. Legal Basis for Processing

We process your personal data on the following legal grounds:

• Contractual Necessity: Processing necessary for the performance of a contract to which you are party or to take steps at your request prior to entering into a contract
• Legal Obligation: Processing necessary for compliance with our legal obligations under applicable laws
• Legitimate Interests: Processing necessary for our legitimate interests or those of third parties, except where such interests are overridden by your fundamental rights and freedoms
• Consent: Processing based on your explicit consent, particularly for:
  • Processing of Sensitive Personal Data
  • Use of data for AI model training
  • Cross-border data transfers
  • Marketing communications

4. Data Collection and Processing

4.1 Categories of Personal Data

We collect and process the following categories of personal data:

• Identity and Contact Information:
  • Full name and professional titles
  • Business email addresses and phone numbers
  • Company name and registration details
  • Physical business addresses
  • Government-issued identification numbers (where required by law)
• Technical and Usage Data:
  • IP addresses and device identifiers
  • Browser type and operating system information
  • Access timestamps and session duration
  • API calls and request logs
  • Error reports and performance data
• AI-Specific Data:
  • User inputs to AI systems
  • Model outputs and predictions
  • Training data contributions
  • Model performance metrics
  • Feedback and corrections provided to AI systems
• Business and Transaction Data:
  • Contract details and service configurations
  • Payment and billing information
  • Usage statistics and subscription details
  • Service level agreements and compliance records

4.2 AI Model Training and Development

Regarding our AI systems and model training:

• Data Use in AI Training:
  • We may use anonymized and aggregated user data to improve our AI models
  • Personal data is never used for training without explicit consent
  • Training data is segregated from production data
  • We maintain detailed records of data used in training
• AI Model Governance:
  • Regular audits of AI model behavior and outputs
  • Bias detection and mitigation procedures
  • Version control and model lineage tracking
  • Performance monitoring and quality assurance

5. Technical and Organizational Security Measures

5.1 Data Security Infrastructure

We implement the following security measures:

• Encryption and Access Controls:
  • AES-256 encryption for data at rest
  • TLS 1.3 for data in transit
  • Multi-factor authentication (MFA)
  • Role-based access control (RBAC)
  • Regular key rotation and certificate management
• Network Security:
  • Web Application Firewalls (WAF)
  • DDoS protection
  • Regular penetration testing
  • Network segmentation and isolation
  • 24/7 security monitoring
• Compliance and Certification:
  • ISO 27001:2013 certification
  • SOC 2 Type II compliance
  • GDPR compliance framework
  • Regular security audits

5.2 AI-Specific Security Measures

For our AI systems, we implement:

• Model Security:
  • Adversarial attack detection and prevention
  • Model encryption and secure deployment
  • Secure model update mechanisms
  • Input validation and sanitization
• Training Data Security:
  • Secure data labeling pipelines
  • Data poisoning detection
  • Privacy-preserving machine learning techniques
  • Federated learning where applicable

6. Data Processing Agreements

Our data processing commitments include:

• Standard Contractual Clauses (SCCs) for international transfers
• Data Processing Agreements (DPAs) with sub-processors
• Joint Controller Agreements where applicable
• Vendor assessment and compliance monitoring
• Regular updates to reflect regulatory changes

7. Data Subject Rights

You have the following rights regarding your personal data:

• Right to Access:
  • Obtain confirmation of processing
  • Access personal data we hold
  • Receive information about processing activities
  • Obtain copies of personal data
• Right to Rectification:
  • Correct inaccurate personal data
  • Complete incomplete personal data
  • Update outdated information
• Right to Erasure:
  • Request deletion of personal data
  • Remove data no longer necessary
  • Withdraw consent-based processing
• AI-Specific Rights:
  • Explanation of AI-based decisions
  • Object to automated processing
  • Request human intervention
  • Contest AI-generated outputs

8. International Data Transfers

For cross-border data transfers, we ensure:

• Legal Framework:
  • Adherence to Standard Contractual Clauses (SCCs)
  • Binding Corporate Rules where applicable
  • Adequacy decisions recognition
  • Data Transfer Impact Assessments
• Technical Measures:
  • End-to-end encryption for transfers
  • Secure file transfer protocols
  • Data residency options
  • Transfer monitoring and logging

8. International Data Transfers (continued)

9. AI Ethics and Governance

9.1 Ethical AI Principles

Our AI development and deployment adheres to:

• Fairness and Non-discrimination:
  • Regular bias assessment and mitigation
  • Fairness metrics monitoring
  • Diverse training data requirements
  • Equal access and treatment principles
• Transparency and Explainability:
  • Model documentation requirements
  • Decision explanation mechanisms
  • Algorithmic impact assessments
  • Clear communication of AI capabilities and limitations
• Human Oversight:
  • Human-in-the-loop processes
  • Override mechanisms
  • Regular human review of AI decisions
  • Escalation procedures

9.2 AI Risk Management

We implement the following risk management measures:

• Risk Assessment:
  • Regular AI system audits
  • Impact assessments
  • Performance monitoring
  • Safety evaluation protocols
• Quality Assurance:
  • Model validation procedures
  • Testing protocols
  • Performance benchmarks
  • Continuous monitoring systems

10. Incident Response and Breach Notification

10.1 Incident Management

Our incident response procedures include:

• Detection and Classification:
  • 24/7 monitoring systems
  • Automated alert mechanisms
  • Incident severity classification
  • Initial impact assessment
• Response and Mitigation:
  • Incident response team activation
  • Containment procedures
  • Evidence preservation
  • System recovery protocols

10.2 Breach Notification

In the event of a data breach, we will:

• Notification Procedures:
  • Notify affected individuals within 72 hours
  • Report to relevant authorities as required
  • Provide detailed incident reports
  • Maintain communication channels for updates
• Remediation:
  • Implement corrective measures
  • Conduct post-incident analysis
  • Update security protocols
  • Enhance monitoring systems

11. Regulatory Compliance

11.1 Compliance Framework

We maintain compliance with:

• Indian Laws and Regulations:
  • Information Technology Act, 2000
  • Personal Data Protection Bill
  • IT Rules, 2011
  • Cyber Security Guidelines
• International Standards:
  • ISO 27001:2013
  • SOC 2 Type II
  • GDPR (where applicable)
  • CCPA (where applicable)

11.2 Documentation and Records

We maintain the following records:

• Processing activities records
• Data protection impact assessments
• Consent records and withdrawals
• Data subject request logs
• Security incident reports
• Audit trails and compliance reports

12. Changes to Privacy Policy

We reserve the right to modify this Privacy Policy at any time. Material changes will be communicated through:

• Notice Requirements:
  • Email notifications to registered users
  • Prominent website announcements
  • In-app notifications
  • Service dashboard alerts
• Version Control:
  • Policy version tracking
  • Change log maintenance
  • Archive of previous versions
  • Comparison tools for changes

13. Contact Information

For privacy-related inquiries and requests:

Data Protection Officer
SVECTOR
Email: legal@svector.co.in
Ahmedabad, Gujarat, India

Response Times

We commit to the following response times for privacy-related requests:

• General inquiries: Within 2 business days
• Data subject access requests: Within 30 days
• Breach notifications: Within 72 hours
• Regulatory inquiries: As per statutory requirements