Assistant
Automate GDPR Compliance & PII Discovery with AI-Powered Search
The Stakes of Data Privacy Compliance Have Never Been Higher
Data privacy regulations are proliferating globally — and the cost of non-compliance is no longer theoretical. Since GDPR enforcement began, European regulators have issued billions of euros in fines to organizations that failed to adequately protect personal data, respond to data subject requests within required timeframes, or demonstrate visibility over where personal data lives within their systems. The largest penalties have reached into the hundreds of millions.
GDPR’s core obligations place a direct operational burden on compliance, legal, and IT teams: organizations must know where all personal data is held, respond to Data Subject Access Requests (DSARs) within 30 days, notify authorities of data breaches within 72 hours, and demonstrate at any time that they can identify, locate, and act on personal data across their entire data estate.
The reality for most organizations falls well short of this requirement. According to McKinsey research, half of companies are still using temporary controls and manual processes to comply with GDPR. For global enterprises managing personal data across dozens of systems, thousands of locations, and multiple languages, manual compliance is not a strategy — it is a liability.
Why Manual PII Discovery Fails at Enterprise Scale
Personal data does not sit neatly in one place. It is distributed across CRM systems, HR platforms, emails, shared drives, databases, document management systems, collaboration tools, cloud storage, legacy archives, and third-party platforms. It exists in structured fields and unstructured text, in dozens of languages, in formats ranging from database records to scanned PDFs to recorded customer service transcripts.
No manual process can reliably discover, track, and govern PII at this scale. Human reviewers miss data. Systems change. New data sources are added. The landscape of what constitutes personal data under various regulations continues to expand.
The only sustainable model for global privacy compliance is automated, AI-powered PII discovery and classification — combined with continuous monitoring that keeps pace with constantly changing data environments.
How Sinequa Automates GDPR Compliance
Sinequa’s enterprise AI platform provides the visibility, classification, and response capability that global compliance teams need to meet GDPR obligations — and to prepare for the expanding global landscape of data privacy regulation.
Surface Personal Data Across the Enterprise
Sinequa connects to all of an organization’s data sources simultaneously — structured and unstructured, on-premise and cloud, across all formats, languages, and locations — and applies natural language processing and machine learning to automatically identify and classify personal data at scale. For GDPR compliance, this means:
- Identifying 30+ types of PII automatically across millions of data locations — including names, email addresses, phone numbers, national ID numbers, passport details, health records, financial data, biometric identifiers, IP addresses, location data, and more
- Multilingual PII detection across all languages in which an organization’s data is stored — critical for global enterprises operating across European and international markets
- Continuous discovery that updates as new data is created, new systems are added, or existing data changes — ensuring the compliance picture is always current, not a point-in-time snapshot
- Automated classification and confidentiality tagging of all personal data using NLP and machine learning — eliminating the need for manual review and ensuring consistent, auditable classification at scale
- Cross-system visibility that works across SharePoint, Salesforce, SAP, email systems, cloud storage platforms, databases, and custom repositories — all indexed into a single, unified compliance view
Streamline the DSAR Response Process
Data Subject Access Requests (DSARs) — where individuals exercise their right to access, correct, or delete personal data held about them — are one of the most operationally demanding GDPR obligations. Organizations must respond within 30 days, locate all relevant personal data across every system, compile it in an accessible format, and provide it to the data subject — or document why they cannot. Without automated PII discovery, this process routinely takes weeks of manual effort, with significant risk of missing data. Sinequa makes DSAR response fast, complete, and auditable:
- Instant PII location — find all personal data related to a specific individual across every connected data source in seconds, regardless of where it lives or what format it is in
- Breach notification readiness — in the event of a data breach, immediately identify what personal data was affected, who it belongs to, and what systems were compromised — enabling the 72-hour regulatory notification deadline to be met with confidence
- Information risk assessments — rapidly assess the privacy risk profile of any dataset or system by querying which personal data it contains, how it is classified, and what access controls are in place
- Continuous compliance posture — know the location and classification status of all PII at all times, irrespective of system changes, data migrations, or new data sources being added to the environment
Beyond GDPR: A Platform for Global Privacy Compliance
GDPR is the most well-known data privacy regulation, but it is far from the only one. Organizations operating globally must also comply with CCPA (California), LGPD (Brazil), PIPL (China), PDPA (Thailand and Singapore), and a growing body of national and regional privacy laws that share many of GDPR’s core principles — including requirements to identify, locate, and respond to requests about personal data.
Sinequa’s platform is regulation-agnostic by design. Because it discovers and classifies personal data based on what it is — not which regulation requires it — the same platform that powers GDPR compliance can be configured to support CCPA data subject rights requests, LGPD compliance obligations, and emerging regulations as they come into force.
Who This Solution Is For
Sinequa’s GDPR and data privacy compliance capabilities are relevant for any organization that collects, stores, or processes personal data at scale — across all industries. It is particularly valuable for teams including Data Protection Officers (DPOs), Chief Privacy Officers, Heads of Compliance, Chief Information Security Officers (CISOs), Legal Operations teams, and IT leaders responsible for data governance and privacy program management.
Watch the video
AI-Powered Privacy Compliance as a Foundation for Enterprise Data Governance
GDPR and data privacy compliance are not isolated requirements — they are a forcing function for understanding what data an organization holds, where it lives, and how it is governed. The same AI-powered PII discovery and classification capability that enables GDPR compliance also provides the foundation for broader data governance initiatives: data loss prevention, sensitive data management, records retention, and AI governance (understanding what personal data may be ingested by AI systems).
Organizations that invest in AI-powered PII discovery as a compliance requirement frequently discover that the visibility it creates unlocks value well beyond compliance — informing data quality initiatives, supporting M&A due diligence, enabling more confident AI deployments, and providing the audit-ready documentation that regulators, auditors, and board-level stakeholders increasingly require.
Sinequa’s platform gives compliance and data governance teams the continuous, cross-system visibility they need — not as a one-time audit exercise, but as a permanent operational capability that scales with the organization.
Frequently Asked Questions
A Data Subject Access Request (DSAR) is a formal request from an individual exercising their rights under GDPR or other data privacy regulations to access, correct, or delete the personal data an organization holds about them. Organizations must respond within 30 days. Sinequa automates the most time-consuming part of this process — locating all personal data related to a specific individual across every connected system — reducing what typically takes days or weeks of manual searching to a matter of seconds. All results are auditable and traceable to their source.
Sinequa’s AI platform automatically identifies over 30 types of personally identifiable information, including full names, email addresses, phone numbers, postal addresses, national identification numbers, passport and driving licence details, social security numbers, health and medical records, financial account information, biometric identifiers, IP addresses, location data, cookie identifiers, and more. Detection works across all formats (documents, emails, database records, PDFs, scanned files) and all languages, making it suitable for global enterprises managing multilingual data environments.
Under GDPR, regulators can impose fines of up to €20 million or 4% of global annual revenue — whichever is higher — for the most serious violations, including failure to protect personal data, failure to respond to data subject requests, and failure to report data breaches within the required 72-hour window. Less serious violations carry penalties of up to €10 million or 2% of global revenue. Since enforcement began, regulators across Europe have issued significant fines to major organizations including technology companies, banks, retailers, and healthcare providers.
Sinequa’s NLP engine supports over 30 languages natively, enabling automated PII detection across multilingual data environments. This is particularly important for global enterprises operating across European markets, where personal data may be stored in French, German, Spanish, Italian, Dutch, and many other languages alongside English. PII is identified and classified consistently regardless of the language in which it appears.
Yes. Sinequa’s platform is designed to support global data privacy compliance, not GDPR alone. The same PII discovery and classification capabilities that power GDPR compliance can be configured to support CCPA (California Consumer Privacy Act), LGPD (Brazil’s Lei Geral de Proteção de Dados), PIPL (China’s Personal Information Protection Law), PDPA (Thailand and Singapore), and other national and regional privacy frameworks. Because the platform discovers personal data based on what it is rather than which regulation requires it, it adapts to new regulatory requirements without requiring a full platform reconfiguration.
PII discovery and Data Loss Prevention (DLP) are complementary but distinct capabilities. PII discovery focuses on finding and classifying personal data that already exists within an organization’s data estate — identifying where it lives, what type it is, and who it belongs to. DLP focuses on preventing personal or sensitive data from leaving the organization’s controlled environment — monitoring data in motion and blocking unauthorized transfers. Sinequa’s platform primarily addresses PII discovery and classification, providing the foundational visibility layer that also strengthens DLP effectiveness by ensuring DLP tools know what to protect and where it lives.
Share
