AI-Powered Data Protection Platform

Protect Data. Ensure Compliance. Build Trust.

The intelligent data protection platform for DPOs and CISOs. Automate DPDPA, GDPR, and global privacy compliance with our AI-powered product suite.

50+
Regulations Supported
36+
Data Connectors
95%
Detection Accuracy
10x
Faster Compliance

Trusted by leading enterprises

Deloitte
Cipla
Borosil
Croma

Complete Data Protection Suite

Eight integrated products working together to protect your data and ensure compliance.

Key Features

Why Choose iqworks?

Built for enterprise DPOs and CISOs who need reliable, scalable data protection.

Rapid, Continuous Data Discovery

Scans and updates data in real time with no manual effort required.

Minimal-to-None IT Investment

Quick deployment with little infrastructure or support needed.

Out-of-the-Box Plug-and-Play

Seamless integration with no training required to get started.

High Accuracy AI-Powered Scans

Machine learning classifies data and reduces false positives.

Our Differentiators

What Sets Us Apart

Privacy-first design with enterprise-grade capabilities.

Unified Policy Engine

Centralizes and automates data governance policies across all platforms.

Seamless Integration

Easily integrates with existing data stacks and cloud environments.

Automated Data Discovery

Automatically detects and classifies sensitive data to ensure compliance.

Real-Time Auditing

Tracks and visualizes data flow and access for full transparency.

Role-Based Access Control

Fine-grained permissions ensure only authorized users access sensitive data.

Cloud Flexibility

Supports governance across multi-cloud and hybrid data environments.

Enterprise-Grade Capabilities

Comprehensive features for complete data protection and compliance.

Powered by aiq

Our proprietary AI engine detects PII and sensitive data with industry-leading accuracy across 50+ languages.

Multi-Regulation Support

Single platform supporting DPDPA, GDPR, CCPA, LGPD, and 50+ global privacy regulations.

Zero Trust Security

RLS-first architecture ensures data protection at every layer of the platform.

Real-time Insights

Dashboards and analytics provide instant visibility into your compliance posture.

Use Cases

Real Questions, Real Solutions

Common data protection, security, and governance challenges that iqworks solves for enterprises.

How much personal data is stored across the organization?

We maintain a real-time inventory of all personal data using automated discovery tools. Track data volume categorized by type and sensitivity across your entire infrastructure.

Why it matters

You can't protect what you can't see. Knowing your data volume helps meet regulatory obligations, manage risk, and avoid over-retention.

Is access to personal data restricted to authorized teams?

Access is controlled through RBAC and monitored continuously. Only approved roles can access sensitive data, and all activity is logged and reviewed.

Why it matters

Restricting access reduces the risk of breaches and ensures compliance with regulations that require data minimization and purpose limitation.

Where exactly is each personal data record located?

Track data across cloud, SaaS, and on-prem systems with precise metadata tagging. Each record is mapped to its storage location and system of origin.

Why it matters

Location tracking is essential for responding to audits, deletion requests, and complying with data residency and transfer laws.

Was personal data erased upon data subject request?

Requests are handled through automated workflows. Data is identified, verified, securely deleted, and logged with a completion report.

Why it matters

Proper erasure ensures legal compliance, builds user trust, and avoids penalties tied to mishandled deletion requests.

Are file systems encrypted / protected?

All file systems that store sensitive or regulated data are protected with AES-256 encryption at rest and in transit. Access is controlled via IAM policies and endpoint security tools.

Why it matters

Encrypted file systems prevent unauthorized access even if storage is compromised, and they're essential for compliance with standards like ISO 27001, HIPAA, and GDPR.

Are users breaching permitted access levels?

We monitor user activity through behavioral analytics and access logs. Alerts are triggered for anomalous behavior, privilege escalation, or access outside defined roles.

Why it matters

Access violations can signal insider threats or misconfigurations. Early detection helps prevent data leaks, especially in regulated environments.

Are databases encrypted / protected?

All production databases are encrypted using industry-standard encryption protocols and protected with firewalls, MFA, and access control policies. Sensitive fields are also masked where required.

Why it matters

Databases often hold the most critical data—PII, financials, IP. Encryption and controlled access are foundational to security architecture and regulatory defense.

Is existing DLP up-to-date to protect data records?

Our Data Loss Prevention (DLP) policies are regularly updated to reflect evolving data classification rules and user behavior. We cover endpoints, email, cloud apps, and file transfers.

Why it matters

DLP prevents sensitive data from being accidentally or maliciously leaked—especially important with remote teams, BYOD policies, and increasing regulatory pressure.

Is regulatory data localized as per regulations?

We enforce data residency and localization rules using geo-tagging and policy-based controls. Data subject to regulations (e.g., GDPR, HIPAA, PDPA) is stored in compliant regions only.

Why it matters

Data localization ensures compliance with cross-border laws and prevents legal exposure due to unauthorized international data transfers.

Is data quality maintained across systems?

We apply automated data quality checks—including validation, deduplication, and integrity monitoring—across all critical systems. Data issues are flagged and resolved via our governance workflows.

Why it matters

High-quality data improves decision-making, reporting accuracy, and compliance. Poor quality leads to financial risk and operational inefficiency.

Are data records appropriately classified?

Records are automatically classified based on content type, sensitivity, and regulatory scope using AI-based tagging and metadata enrichment.

Why it matters

Classification enables proper handling, access control, lifecycle management, and risk-based prioritization—core to any governance framework.

Are data records stored beyond retention period?

Data retention policies are enforced automatically. Records are flagged for review or deletion once they reach the defined retention period, with full audit logging.

Why it matters

Over-retention increases legal risk, storage costs, and potential for breach exposure. Staying compliant with retention schedules is critical for audits and regulations.

Ready to Transform Your Data Protection?

Join leading enterprises that trust iqworks for DPDPA compliance and data protection.

DPDPA & GDPR Ready
AI-Powered Automation
50+ Global Regulations