Privacy Compliance, Simplified
Automate DPDPA, GDPR, and global privacy compliance with intelligent workflows and real-time monitoring.
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Trusted by leading enterprises
Nine integrated products working together to protect your data and ensure compliance.
Built for enterprise DPOs and CISOs who need reliable, scalable data protection.
Scans and updates data in real time with no manual effort required.
Quick deployment with little infrastructure or support needed.
Seamless integration with no training required to get started.
Machine learning classifies data and reduces false positives.
Privacy-first design with enterprise-grade capabilities.
Centralizes and automates data governance policies across all platforms.
Easily integrates with existing data stacks and cloud environments.
Automatically detects and classifies sensitive data to ensure compliance.
Tracks and visualizes data flow and access for full transparency.
Fine-grained permissions ensure only authorized users access sensitive data.
Enforce geo-fencing and localization rules to comply with cross-border data transfer regulations.
Track compliance posture in real time with dashboards, risk scores, and audit-ready reports.
Row-level security and JWT authentication ensure data isolation at every layer.
Context-aware AI understands meaning, not just patterns — reducing false positives by 73%.
Supports governance across multi-cloud and hybrid data environments.
Comprehensive features for complete data protection and compliance.
Our proprietary AI engine detects PII and sensitive data with industry-leading accuracy across 50+ languages.
Single platform supporting DPDPA, GDPR, CCPA, LGPD, and 50+ global privacy regulations.
RLS-first architecture ensures data protection at every layer of the platform.
Dashboards and analytics provide instant visibility into your compliance posture.
Common data protection, security, and governance challenges that IQWorks solves for enterprises.
DiscoverIQ scans cloud storage, databases, SaaS apps, email, and endpoints automatically — building a complete data inventory in days, not months. Every record is mapped to its source, location, and owner.
Why it matters
You can't protect what you can't see. Regulators expect a current Record of Processing Activities. Manual inventories are outdated before they're finished.
ClassifyIQ uses AIQ, our context-aware AI engine, to classify data by meaning — not just pattern matching. Confidence scores flag edge cases for human review while the AI handles routine classification across 50+ languages.
Why it matters
Regex-based tools generate noise. Context-aware classification reduces false positives by up to 73%, letting your team focus on real risks instead of triaging alerts.
DiscoverIQ automatically generates data flow maps showing where sensitive data enters, how it moves between systems, and where it is stored — with real-time updates as your infrastructure changes.
Why it matters
Data mapping is required for DPIAs, cross-border transfer assessments, and responding to regulatory audits. Automated mapping eliminates the spreadsheet guesswork.
Continuous monitoring alerts you when PII appears in unexpected locations — a developer's S3 bucket, a shared Google Drive, a Slack channel. DiscoverIQ flags exposure risks as they happen.
Why it matters
Shadow data is the leading cause of breaches. Real-time detection catches exposure before it becomes an incident or an audit finding.
Deep-dive articles, free interactive tools, and real-time compliance data to help you stay ahead of regulations.
Checklists flatten the relationship between regulations and operations. A control-based architecture maps regulations to executable checks — and scales across jurisdictions without duplication.
Mar 8, 2026Third-party vendors process more of your data than you think. A structured vendor risk management program — integrated with your data inventory — is the only way to ensure compliance does not stop at your organization's boundary.
Mar 22, 2026Most enterprises maintain separate inventories for privacy, security, and vendor management. A unified model eliminates duplication and powers DPIAs, compliance, and data mapping from one place.
Feb 18, 2026Curated headlines from the world of data privacy, security, and compliance.
The 2026 IAPP Global Summit in Washington, D.C. delivered a clear message from regulators worldwide: demonstrating compliance on paper without operational evidence will no longer pass enforcement scrutiny. Board-level accountability for privacy governance is becoming a regulatory expectation.
European rail pass provider Eurail is notifying over 300,000 people that their personal information — including names and passport numbers — was stolen in a December 2025 breach discovered months later.
Business data platform Crunchbase confirmed a data breach after hackers claimed to have accessed its systems. The incident exposed company and user data from one of the most widely used startup databases.
Employees using unauthorized AI tools are sharing sensitive data — source code, legal documents, M&A details — with AI services outside IT visibility. Organizations with high shadow AI usage face breach costs averaging $4.63 million, $670K more than those without.