Data & Workflow Security For Healthcare Organizations
For organizations focused on HIPAA compliance, clinical AI adoption, and protecting patient data, Cyberhaven's AI-native platform secures what matters most, including PHI, EHR records, research data, and more.
The State of Data Risk: By The Numbers
0
of all interactions with AI tools involve sensitive data, including prompts or copy-paste actions
0
is the average cost of a data breach for a healthcare organization
0
of data breaches on healthcare organizations compromise internal data
Patient Data Keeps Moving.
Legacy DLP Was Never Built To Track It.
Healthcare organizations face a growing data security problem: sensitive patient information moving across endpoints, cloud applications, EHR integrations, and third-party systems that legacy DLP was never designed to cover.
Content-inspection tools flag keywords. They don't track how a clinical note moves from an EHR to a personal email, or how a de-identified research dataset gets re-combined with a referral spreadsheet. As healthcare gets more digital and AI adoption accelerates across clinical and administrative workflows, the gaps between what you think is protected and what actually is keep widening.
How we help
Secure Emerging AI Workflows And Your Most Sensitive Patient Data
Cyberhaven delivers full data movement visibility across your cloud, SaaS, endpoint, and AI environment, with real-time enforcement that keeps pace with how fast healthcare organizations operate.
See Every Data Movement, Across Every Environment
Track PHI and sensitive clinical data across endpoints, SaaS tools, cloud storage, and AI applications in one platform. Continuous discovery so nothing slips through the gaps between systems.
Know What Your Data is, Where it Came From, Who Touched it, and How It Transformed
AI-based classification plus Data Lineage gives your team full context: what the data is, where it originated, who accessed it, and how it has moved across your environment.
One platform for DLP, DSPM, IRM, and AI security.
One platform for DLP, DSPM, insider risk management, and AI security. No tool-switching. No lost context. Surface actionable insights instead of raw alerts so your team can respond with confidence.
The Data Lineage Difference
Cyberhaven's Data Lineage technology traces every piece of data from its origin, recording every move, copy, edit, and share across managed and unmanaged cloud apps, devices, and agentic workflows. This complete visibility gives Cyberhaven the context to more accurately classify data and protect it anywhere it goes.
Unified visibility and enforcement
Cyberhaven AI & Data Security Platform
One unified solution for protecting data wherever it lives and goes.
DSPM
Discover and classify data, detect risk as it flows between clouds and devices, and secure it automatically with Data Security Posture Management.
DLP
Protect data and stop exfiltration: coach users and block leaks across email, web, cloud, and devices with reimagined Data Loss Prevention.
IRM
Combine data and behavior signals to stop insider threats, clarify intent, and catch slow-burning risks with Insider Risk Management.
AI Security
Increase AI adoption securely, understand shadow AI usage, assess AI risk posture, and prevent leaks without blocking teams with AI Security.
Data Security For Organizations Patients Trust With Their Most Sensitive Information
Protect data as it moves through clinical and administrative workflows, with less noise, faster investigations, and no lost context.
Understand Every Move Your Data Makes
Cyberhaven traces the full history of every file: origin, every copy, every move, every transformation. That complete lineage is what makes PHI classification accurate and HIPAA investigations fast, without the manual overhead that makes legacy discovery tools a compliance exercise just to maintain.
Gain Both Visibility and Control
Once your security program can see a finding, your organization is accountable for it. Cyberhaven gives you both: endpoint presence that detects risk in real time and enforcement controls that act before exposure happens. Seeing the problem is not the same as solving it.
Guide Clinicians and Staff Before Incidents Happen
Cyberhaven coaches employees in the moment instead of blocking them outright. When someone pastes patient data into an AI tool or moves a file to an unapproved destination, they see real-time guidance toward approved methods, reducing friction, building better habits, and cutting the volume of incidents your team has to chase down.
Resolve Incidents With Full Context, Not Guesswork
When data movement goes wrong, Cyberhaven gives your team the lineage, forensics, and user intent context to investigate fast. No reconstructing what happened from incomplete audit logs. No guessing whether a disclosure was accidental or deliberate. Just the full picture, ready when you need it.
Frequently Asked Questions
How does Cyberhaven protect patient data shared across cloud collaboration tools?
Cyberhaven tracks data from the moment it's created, so it knows when a clinical document or discharge summary moves into a cloud collaboration tool, even one not sanctioned by IT. Rather than scanning file content for keywords, Cyberhaven uses Data Lineage to trace data back to its origin, giving security teams the context to enforce HIPAA-aligned policies without blocking the cross-functional workflows care teams depend on.
How does DLP detect data exfiltration in healthcare environments?
Modern DLP detects exfiltration by monitoring how data moves across endpoints, email, cloud applications, and removable storage, not just what it contains. Cyberhaven extends this by combining data movement signals with behavioral context, so analysts can distinguish a legitimate referral transfer from an employee moving patient records to a personal account. That behavioral layer is especially important for protecting PHI from both external threats and insider misuse.
How does Cyberhaven support HIPAA compliance?
Cyberhaven supports HIPAA compliance by giving security and compliance teams continuous visibility into how PHI moves across their environment, which users accessed it, and how it has been shared or transformed. Data Lineage creates an auditable trail of data activity that satisfies breach investigation requirements and accelerates reporting timelines, without requiring manual tagging or rule updates every time a new application enters the environment.
How does Cyberhaven help manage insider risk in healthcare organizations?
Healthcare organizations face insider risk from departing employees, third-party contractors, and end users who handle sensitive data as part of routine care workflows. Cyberhaven's IRM combines data movement signals with behavioral indicators to flag when users access and transfer PHI outside normal patterns, giving security teams the context to act before an incident escalates to a reportable breach.
How does Cyberhaven secure AI adoption in clinical and administrative workflows?
Cyberhaven gives security teams visibility into how clinical and administrative staff are using AI tools, including which tools are being used, what data is being input, and whether PHI is at risk. Rather than blocking AI use outright, Cyberhaven enforces policies in real time and coaches users toward approved tools and methods, allowing organizations to enable AI adoption without creating uncontrolled exposure.
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