HomeSolutions

Protect Your IP Before It Leaves the Organization

Know what sensitive data employees access, move, and take with them. Detect risky behavior before an employee leaves, protect intellectual property across every exit path, and give HR and Legal the evidence they need to act.

Why Insider Risk Is Increasingly Difficult to Detect and Control

Your Most Valuable IP Lives Where Work Happens

Source code, CAD files, deal models, formulas, client lists, research, and other sensitive data sit in the tools employees use every day. Traditional controls can tell you that a file moved, but not always what was in it, where it originated, or where it went.

Employee Departures Create a Critical Blind Spot

Offboarding often starts with a spreadsheet or a notification from HR. By the time security knows someone is leaving, an employee may already have been stockpiling sensitive data or moving it to a personal account, often weeks before their resignation is official.

Data Can Disappear from Traditional Detection

Rename a file, zip it, change its format, take a screenshot, or copy and paste the contents, and file-based controls can lose the connection. Employees can also route data through personal email and cloud storage, USB, print, chat applications, and browsers.

When IP leaves with a departing employee and there is no record of what was taken, organizations may be left without the evidence needed to investigate or respond.

How Protection Pays Off

0

Faster investigations

0

Fewer false positives

0

Less risky behavior

0

Combined value of Cyberhaven's publicly traded customers

How to Protect IP & Minimize Insider Risk with Cyberhaven

Cyberhaven traces sensitive data from creation through every move, copy, and upload, so you can spot risk before an employee leaves, protect intellectual property on every exit path, and act on clear evidence.

Key features

The Capabilities You Need to Protect IP and Detect Insider Risk

Monitor employee behavior, understand how sensitive data moves, and investigate risky activity with context that connects people, data, and actions.

See Cyberhaven’s full capabilities→

Monitor Departing Employees for Data Hoarding and Exfiltration

Identify unusual data activity before an employee leaves.

Risk scoring can flag stockpiling months before a resignation, while a reviewed report shows what each departing employee moved. This gives security teams a way to investigate potential insider risk before data reaches a competitor or personal account.

Catch Exfiltration Even When Files Are Obfuscated

Follow sensitive data by lineage, not by file name or pattern.

Renaming, zipping, reformatting, screenshotting, or copying data does not break its lineage. This helps detect attempts to move sensitive information even when the original file is no longer recognizable.

Protect Sensitive Data Across Every Exit Path

Stop exfiltration through personal email, personal cloud, chat applications, USB, print, browsers, and other common channels.

One agent covers Mac, Windows, VDI, and browser environments, helping organizations apply sensitive data protection across the ways employees work and share information.

Protect IP During Layoffs, Acquisitions, and Contractor Ramps

Workforce transitions can create additional insider risk. Monitor activity during layoffs, acquisitions, contractor ramps, and other periods of organizational change.

Detect risky activity while the person still works there and create evidence that HR, Legal, and other authorized teams can use.

Detect Sensitive Data New Hires Bring with Them

Identify sensitive data that new employees bring from former employers before it enters internal workflows.

Data lineage identifies where information originated and who introduced it, helping organizations understand external origin and ownership before potentially sensitive information becomes part of the corporate environment.

Identify Data-to-User Mismatches

Flag sensitive data employees retain without a legitimate business need.

Role-aware analysis helps identify mismatches between the data a person has and their current role. Lineage maps copies back to their owner and current role, giving security teams context to remediate unnecessary access or retention.

Explain Risk with Data Context

Identify risky behavior without constant rule tuning or black-box scoring.

Tie behavior to specific sensitive data and explain why the activity is risky. Data context makes detections explainable, giving security teams a clearer basis for investigation and response.

“Anyone who is seriously doing an evaluation of this area really ought to be looking at Cyberhaven.”
David Seidman
Head of Platform Security, Plaid

Data Security for the Agentic Enterprise

Cyberhaven Flow traces the full lifecycle of data and adapts protection to changing context

Agentic
Data Security

Protect AI-driven Workflows
Agentic DLP

Agentic Posture

Human
Data Security

Protect Human-driven Workflows
Human DLP

Insider Risk (IRM)

Data Security
Posture Management

Protect Data with Visibility,

Posture, and Remediation

‍across SaaS, PaaS, IaaS, and AI

Protect Your IP. Minimize Insider Risk.

Know what employees access and move, detect risky behavior before sensitive data leaves, and give your security, HR, and Legal teams the evidence they need to act.

Frequently Asked Questions

How can Cyberhaven help detect data exfiltration before an employee leaves?

Cyberhaven monitors employee activity for patterns associated with data hoarding and exfiltration. Risk scoring can identify unusual behavior relative to an employee's history and relevant peers, helping security teams investigate potential risk before a resignation or departure.

Cyberhaven also connects employee activity to the sensitive data involved, helping teams understand what was accessed, moved, or retained.

Effective methods to protect intellectual property include identifying sensitive data, understanding who can access it, monitoring how it moves, protecting common exit paths, and maintaining evidence when suspicious activity occurs.

Cyberhaven uses data lineage to connect sensitive information to its origin, movement, and destination, helping security teams protect proprietary IP and trade secrets throughout the employee lifecycle.

Effective IP protection during employee offboarding requires visibility before the employee leaves, not just an investigation afterward.

Cyberhaven monitors workforce transitions for unusual data activity, covers common exfiltration paths such as personal email, personal cloud, USB, print, and chat applications, and provides a reviewed report of what a departing employee moved.

Cyberhaven combines employee risk monitoring with data context and lineage. This allows security teams to connect a person's behavior to the sensitive data involved, identify unusual activity, and understand where data originated and where it moved.

The result is actionable context for investigating potential insider threats.

Cyberhaven ties behavior to specific sensitive data and uses data context to explain why activity is considered risky. Role-aware analysis can also identify mismatches between an employee's role and the sensitive data they access or retain.

This gives security teams evidence they can investigate rather than relying solely on an opaque risk score.

Organizations evaluating insider risk management software should consider visibility into employee data activity, risk detection during workforce transitions, sensitive data identification, data lineage, coverage across common exfiltration paths, role-aware analysis, and evidence that can support HR and Legal investigations.

Cyberhaven combines these capabilities to connect employee behavior with the sensitive data involved.