Data & Workflow Security For Manufacturers
For companies focused on IP protection strategy, third-party data sharing, and AI adoption, Cyberhaven’s AI-native platform protects what matters most: source code, customer data, product designs, and more.
The State of Data Risk: By The Numbers
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of GenAI SaaS apps used by manufacturing orgs are deemed “medium,” “high,” or “critical” risk.
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of data stolen in insider misuse cases is classified as “Secrets” (proprietary information, IP, trade secrets).
Your IP Is Moving. Legacy DLP Can't Tell You Where.
Manufacturing and industrial organizations face a growing threat: Sensitive intellectual property moving across endpoints, cloud tools, and third-party systems that legacy DLP was never built to cover.
Content-inspection tools flag keywords. They don't track how files move from an engineer's workstation to an unsanctioned cloud app to a supplier email. As supply chain complexity grows and AI adoption accelerates, the gaps between what you know and what you need to know are widening.
How we help
Secure Agentic Workflows And Your Most Valuable Assets
Cyberhaven delivers full data movement visibility across your cloud, SaaS, endpoint, and AI environment, with real-time enforcement that keeps pace with how fast your organization moves.
See every data movement, across every environment
See sensitive data across endpoints, SaaS, cloud, and AI applications in one platform. Continuous discovery so nothing falls through the cracks.
Know what your data is, where it came from, who touched it, and how it transformed
AI-based classification plus lineage gives you full context: What data is, where it came from, who owns it, and how it has moved. That's how you separate real risk from noise.
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 insights instead of raw alerts so your team can act 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 Building Their Future
Protect data as it moves through human and agentic 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 classification accurate and investigations fast, without the manual overhead that makes legacy discovery tools a team 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. Don’t just find the problem, solve it.”
Guide users before incidents happen
Cyberhaven coaches employees in the moment instead of blocking them outright. When someone pastes source code 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 logs. No guessing whether it was accidental or deliberate. Just the full picture, ready when you need it.
Frequently Asked Questions
How does Cyberhaven protect R&D data shared in cloud collaboration tools?
Cyberhaven tracks data from the moment it's created, so it knows when a CAD file or design document moves into a cloud collaboration tool, even one that isn't 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 policies without blocking the cross-functional workflows engineers depend on. This reduces the false positives that cause production teams to route around legacy controls.
How does DLP detect data exfiltration in manufacturing environments?
Modern data loss prevention (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 supplier transfer from an employee moving design files to a personal account before resignation. That behavioral layer is especially important for protecting proprietary process data and trade secrets from espionage-motivated attacks.
How can manufacturers use IRM to protect files during an M&A?
Insider Risk Management (IRM) is particularly effective during M&A activity, when data access expands and employee uncertainty elevates the risk of IP movement. Cyberhaven's IRM combines data signals with behavioral indicators to flag when employees in acquired entities or departing roles access and transfer sensitive files outside normal patterns, giving security teams the context to act before an incident becomes a breach.
What features do businesses expect in insider risk management software?
Security teams typically expect IRM software to provide behavioral baselining, data movement visibility, intent classification, and investigation workflow support. Cyberhaven adds Data Lineage as a foundational layer, meaning analysts can see not just that a file moved, but where it came from and how it has been used. That context is critical for distinguishing negligence from malicious intent and for reconstructing activity before an alert fires.
How does Cyberhaven stop data loss across a global manufacturing supply chain?
Cyberhaven stops data loss by tracking every file across its full lifecycle, from creation on an engineer's endpoint to sharing with a supplier portal or cloud storage, and enforcing policies based on data lineage rather than static content rules. Protections travel with the data across geographies, tools, and user roles without requiring manual tagging or rule updates for each new application in the supply chain.
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