Frequently Asked Questions (FAQ)

General Privacy & AI Governance Queries

Q1. What is data privacy compliance and why does my company need it?

Data privacy compliance means adhering to laws and regulations that govern how personal data is collected, processed, stored, and shared. It is essential to build customer trust, avoid hefty fines, and maintain competitive advantage—especially in industries like finance, healthcare, and SaaS.

Q2. Which data privacy laws apply to my business?

This depends on where your business operates, where your customers reside, and the nature of your services. Key laws include:

• GDPR (EU/UK)

• DPDP Act (India)

• CCPA/CPRA (California)

• LGPD (Brazil)

• PDPA (Singapore)

• UAE’s Data Protection Law (Federal Law No. 45 of 2021)

Q3. What is AI governance and why is it critical?

AI governance refers to the frameworks, policies, and practices used to ensure AI systems are lawful, ethical, transparent, and accountable. With the rise of AI regulation (e.g., the EU AI Act), companies must proactively manage risks related to bias, discrimination, opacity, and unintended consequences.

DPO-as-a-Service Model

Q4. What is DPO-as-a-Service?

It’s an outsourced model where our certified experts serve as your organization’s Data Protection Officer (DPO) to help fulfill legal obligations under laws like the GDPR, DPDP Act, LGPD, etc.

Q5. When do I need to appoint a DPO?

Under GDPR and similar laws, you may be required to appoint a DPO if:

• You process large-scale sensitive personal data

• You monitor individuals systematically and regularly

• You’re a public authority or body (excluding courts)

We provide a cost-effective external DPO alternative that meets these regulatory requirements without requiring in-house resources.

Q6. What does your DPO-as-a-Service include?

• Data protection audits and gap assessments

• DPIA facilitation

• Privacy policies and documentation

• Regulatory communication

• Employee training and awareness

• Ongoing monitoring and updates

AI Act vs GDPR

Q7. How is the EU AI Act different from GDPR?

• Scope: GDPR regulates personal data. The EU AI Act governs AI systems’ design, development, and deployment, regardless of whether personal data is involved.

• Risk-Based: The AI Act uses a risk-tier model (unacceptable, high, limited, minimal), while GDPR applies universally to personal data.

• Conformity Requirements: High-risk AI systems must meet technical and documentation standards under the AI Act. GDPR focuses on legal bases and individual rights.

We help organizations comply with both, ensuring AI systems that use personal data are lawful under both GDPR and AI Act.

When Do You Need an AI Risk Assessment?

Q8. What triggers the need for an AI Risk Assessment?

You should conduct an AI Risk Assessment when:

• Your system is likely to be classified as “high-risk” under the EU AI Act (e.g., biometric identification, employment decisions, credit scoring, healthcare diagnostics)

• You deploy AI in sensitive sectors (e.g., law enforcement, education, financial services)

• You use black-box or opaque models affecting individual rights

• You are expanding globally and want to pre-empt regulatory obligations

Q9. What does an AI Risk Assessment involve?

• Classification under EU AI Act or equivalent framework (OECD, Singapore, NIST)

• Algorithmic bias/fairness evaluation

• Data quality & representativeness checks

• Human oversight and transparency measures

• Technical documentation and impact analysis