IQWorks Data Discovery & Classification is data discovery and classification software that finds personal data across endpoints, databases, SaaS apps and file shares, scores every finding for confidence and risk, and labels files by policy. DiscoverIQ runs the scans, including on-premise and air-gapped ones. ClassifyIQ applies the labels, and the AIQ engine powers detection.
Data Discovery and Classification Challenges
Every privacy obligation starts with knowing what personal data you hold and where it sits. In most organizations that answer lives with a few engineers, and it is out of date the day it is written down.
Pattern-only scanners add noise: they flag anything that looks like a number and miss personal data with no fixed format, and teams stop trusting the results.
Unknown data stores
Personal data sits on laptops, shared folders and SaaS apps that no inventory lists.
False positives
Pattern-only scanners flag order numbers as phone numbers and bury the real findings.
Sensitive values on screen
Discovery tools that display raw values create another copy of the data they were meant to protect.
Shadow IT
Software installed on endpoints goes untracked, along with the data it collects.
Data Discovery and Classification with IQWorks
Your team today
Personal data in unmapped systems
With IQWorks
An inventory across your business landscape
DiscoverIQ scans endpoints, databases, SaaS apps and file shares, scoped by connector, department or country.
Your team today
Scanners flag everything that looks like a number
With IQWorks
Detection you can tune
Findings come from AIQ models, dictionaries and patterns, each with a confidence score that business rules can steer. AIQ produces 73% fewer false positives than regex.
Your team today
Scan results expose the data they find
With IQWorks
Values masked by default
The Data Catalog shows the file path, attribute, risk and standard for each finding, with values masked unless an authorized role reveals them.
Your team today
Files carry no sensitivity label
With IQWorks
Classification by policy
ClassifyIQ writes policy-driven labels onto the files DiscoverIQ has found, using the same attribute library.
See it working on your own data
A live walkthrough against your regulations and your systems.
Request DemoProducts for Data Discovery and Classification
Data Discovery and Classification Workflow
Connect your sources
Add connectors for databases, SaaS apps and file shares, and deploy endpoint agents to laptops and servers.
Connect your sources
Add connectors for databases, SaaS apps and file shares, and deploy endpoint agents to laptops and servers.
Scope and scan
Choose connectors, departments or countries, pick Discover or Index mode, and sample by record count or percentage.
Scope and scan
Choose connectors, departments or countries, pick Discover or Index mode, and sample by record count or percentage.
Review findings
Each finding shows its attribute, confidence, risk score and standard, with values masked by default.
Review findings
Each finding shows its attribute, confidence, risk score and standard, with values masked by default.
Classify
ClassifyIQ applies your labeling policies to the files discovery has found.
Classify
ClassifyIQ applies your labeling policies to the files discovery has found.
Put the inventory to work
Findings feed RoPA validation in ComplyIQ and the scans behind Data Principal requests.
Put the inventory to work
Findings feed RoPA validation in ComplyIQ and the scans behind Data Principal requests.
Key Takeaways
- 95%+ PII detection accuracy, powered by the AIQ engine
- 73% fewer false positives than regex
- 650+ data connectors across cloud, SaaS and on-premise systems
- Detection in 50+ languages
- On-premise and air-gapped deployment, with local detection on endpoints
Data Discovery and Classification FAQ
Endpoints, databases, SaaS apps and file shares, through 650+ data connectors and endpoint agents for laptops and servers. Scans can be scoped by connector, department or country.
The AIQ engine reaches 95%+ accuracy on PII and produces 73% fewer false positives than regex. Every finding carries a confidence score, and business rules can steer it for your data.
Yes. DiscoverIQ supports on-premise and air-gapped deployment, and endpoint agents run AI models locally and offline.
Endpoint scans pause automatically when CPU or memory use is high and resume afterward.
DiscoverIQ finds personal data and scores it for risk. ClassifyIQ labels the files DiscoverIQ has found according to your classification policies.
Data Discovery and Classification Resources
Regulations
Guides
Comprehensive Data Discovery Guide
Discover personal data across your entire technology environment using automated scanning and AI-powered identification.
Data Classification Best Practices
Implement an effective data classification program that supports privacy compliance, security, and data governance.
PII Detection and Automation Guide
Automate the detection of personally identifiable information across your data estate using AI-powered scanning.
Comparisons
Best Data Discovery Tools: 2026 Comparison Guide
Compare the best data discovery tools for privacy and compliance. Evaluate IQWorks, BigID, Varonis, Spirion, and other leading solutions.
Best Data Classification Solutions: 2026 Comparison Guide
Compare leading data classification solutions. Evaluate IQWorks ClassifyIQ, Microsoft Purview, Titus, Boldon James, and other platforms.
IQWorks vs BigID: Data Intelligence Platform Comparison
Compare IQWorks and BigID for data discovery, classification, and privacy. Evaluate AI capabilities, data protection, and compliance features.
IQWorks vs Varonis: Data Protection Approach Comparison
Compare IQWorks and Varonis data protection platforms. Evaluate privacy compliance, data security, insider threat detection, and DSPM features.
Glossary
Data Discovery
Data discovery is the automated process of identifying and cataloging personal data across an organization technology landscape, including databases, file systems, cloud storage, and SaaS applications.
Data Classification
Data classification is the process of categorizing data by sensitivity level, type, and regulatory applicability to determine appropriate protection measures and handling procedures.
Personally Identifiable Information (PII)
PII is any information that can be used to identify a specific individual, including names, addresses, email addresses, phone numbers, Social Security numbers, and biometric data.
Dark Data
Dark data is information collected and stored by an organization but never analyzed, used, or leveraged, often containing personal data that creates unmanaged privacy risk.
Shadow IT
Shadow IT refers to technology systems, applications, and cloud services used within an organization without formal IT department approval or oversight.
Articles
Why Regex Alone Misses Sensitive Data
Pattern matching alone under- and over-fires on real data. A layered hybrid of validators, dictionaries, NER and an LLM finds what regex misses.
Classification That Acts on What Detection Finds
Detection finds sensitive attributes; ClassifyIQ applies a rule engine on top to assign classification levels and labels, with a dry-run and audit.