Discover scans your entire data environment (cloud storage, endpoints, SharePoint, on-prem), classifies every sensitive field, maps each one to HIPAA, GDPR, PCI-DSS and CCPA, and shows what your exposure is worth before it becomes a breach.
Load the demo dataset and watch Discover classify every sensitive field,m phrases, terms, identifiers, and regulated data, then see the financial exposure if it walked out the door.
See how Confidencial works. Run a full classification pass, expand any file, and open the financial exposure report.
Most teams have scanned their data at some point. They have a spreadsheet, a dashboard, a posture score. What they don't have is any assurance the data they found is actually protected.
A report of where sensitive data lives. Then you open a ticket, route it to four teams, and wait months for something to change.
Discover connects directly to Shield, the enforcement layer. Finding sensitive data and protecting it happen in the same platform, all with the same analysis engine. The report becomes the trigger.
Connect your sources, classify every sensitive field, score the exposure, and hand findings straight to Shield, with no manual handoff and no mapping loss.
Point Discover at cloud storage, endpoints, SharePoint, Drive, S3, and AI sources. Agentless for most.
Reads file content at the field level, including phrases, terms, identifiers, and regulated data inside 40+ file types. Not filenames. Not metadata. The actual words.
Every finding is tagged to HIPAA, GDPR, PCI-DSS, CCPA, or custom suites, and financial exposure is quantified. Audit evidence is built automatically.
Pass findings to Shield in one action. The same engine that identified each sensitive field applies targeted protection to it- no translation, no gap.
It reads file content, classifies sensitive fields, maps access exposure, and surfaces what's actually at risk, not just what's technically sensitive.
Classifies sensitive content at the word, field, or section level across 40+ file types using a multilayered engine, such as regex, NLP, machine learning, and AI. PII, PHI, financial data, and IP, inside the actual content, not just file names.
Every finding is tagged to HIPAA, GDPR, PCI-DSS, CCPA, and GLBA automatically. No manual mapping. Audit evidence builds as you scan.
Findings are scored by breach fines, black-market data value, regulatory penalties, and containment cost, then broken out by data type, before and after protection.
Runs entirely inside your environment, such as cloud, on-prem, or hybrid, via container-based scanning. Only metadata summaries leave the scanner. No raw content, no file transfer, read-only access scoped to targets you choose.
Shows where sensitive data is concentrated, including which folders, which file formats, which storage locations carry the most risk. Not just how much exists, but exactly where it lives.
Findings pass to Shield in one action. The same engine that identified each sensitive field encrypts it, with no translation layer, no second tool, and no ticket. The report becomes the trigger.
The situations that make exposure real and where Discover closes the gap.
Unstructured data accumulates faster than anyone governs it. Discover scans the full environment, surfaces what's exposed, and hands it to Shield in one action.
Sensitive files scattered across cloud drives and endpoints, including PII, PHI, and financial data in PDFs, Word docs, and spreadsheets, some dating back years. Policy applied automatically.
A label in a dashboard is not a control. Auditors want proof the data is protected. Discover gives you the inventory. Shield gives you the proof.
2,847 PHI files across three cloud environments. Each one encrypted at the field level before the audit window opens.
Acquiring a company means inheriting its data risk. Most acquirers don't find out what they bought until after close. Discover scans the target environment first.
143 strategic documents shared externally and 31 files in a public S3 bucket. Risk quantified before the deal closes.
The board wants the dollar value of your data risk. You have a scan. Not an answer. Most teams can say how many files are sensitive. What they can't say, without Discover, is what that exposure is worth in fines, black-market value, and containment costs, broken out by data type and ready for a board deck.
Estimated exposure: $1.31B, broken out by category, protected vs. at risk, ready for the board deck.
File types classified, including all major unstructured formats
Data Solution of the Year for Legal, Data Breakthrough Awards
Tradewinds Marketplace Awardable
It's the process of scanning your data environment — cloud storage, endpoints, file servers, and AI pipelines — to identify where sensitive information lives, who has access, and how exposed it is. Unlike manual audits, automated discovery like Confidencial Discover scans continuously and surfaces risk in real time.
DSPM tools discover and classify data to improve visibility. What they don't do is protect the data once it's found. Discover connects directly to Shield — so classification leads to enforcement, not just a report. You find the data and protect it in the same platform.
PII, PHI, financial data, IP and trade secrets, legal privileged communications, M&A documents, and regulated data across 40+ file types including Word, PDF, Excel, email, and unstructured formats. Classification maps to HIPAA, PCI DSS, GDPR, and GLBA automatically.
Yes. Discover scans the data feeding your AI systems — RAG pipelines, vector databases, fine-tuning datasets — and surfaces which sensitive fields are entering AI workflows unprotected. This gives security and AI teams the visibility to govern AI use before it becomes a breach.
It hands off directly to Shield, the enforcement layer, which applies persistent selective encryption to the sensitive fields Discover identified. This turns a visibility report into active data-layer protection — without a separate tool, a manual workflow, or another vendor.
Discover a clear picture of what you have and what's at risk.