Netra Data Protection
One Console, One Policy, Every Exit Path.
Netra protects sensitive data across AI chatbots, embedded AI, SaaS apps, email, cloud storage, screens, peripherals, and endpoints for both employees and AI agents.
The Problem
Four Ways Data Walks Out
Modern data loss rarely looks like a simple file transfer. It happens across endpoints, SaaS apps, AI prompts, screens, personal tools, and human workflows.
01
The Two-Week Window
Critical IP often leaves in the final weeks before an employee departs, through USB devices, personal cloud storage, email, or unsanctioned apps.
CISO, HR, Legal
02
The Tool Nobody Approved
Remote-control tools, file-transfer apps, and unmanaged SaaS services can move data through paths that cloud proxies and legacy DLP never see.
SecOps, IT Ops, CISO
03
The Photograph
A phone pointed at a monitor can capture sensitive data without creating a file movement event for traditional DLP to inspect.
IP owners, R&D
04
The Conversation Nobody Logs
Sensitive data can leave through ChatGPT, Claude, Copilot, coding assistants, and other AI tools as prompts, responses, or agent context.
CISO, AI Governance
The common pattern is the last mile: the endpoint, the SaaS session, the screen, and now the prompt. That is where Netra sits.
How It Works
Full Coverage for AI Agents and Humans
No gateway, no proxy, no new hardware — the endpoint agent is already there.
Capabilities
Discover. Trace. Detect. Respond.
Discover
App and Data Insights
Discover emerging applications, sensitive data, and risky data movement patterns across managed and unmanaged channels. Map sanctioned, unsanctioned, new, and allowed channels before data leaves the organization.
Trace
Data Lineage
Understand how sensitive data moves across enterprise environments, from source to destination, with context for users, apps, and channels.
Data detection and response starts with full lineage, not isolated alerts.
Detect
Insider Risk Management
Detect insider risk in real time using context from endpoints, networks, SaaS apps, AI tools, and user behavior. Identify sensitive data and IP leakage patterns before they become incidents.
Respond
AI-Assisted Operations
Use AI to classify data, analyze events, triage alerts, and reduce false positives at speed and scale.
AI-assisted log analysis and alert triage help teams focus on real risk.
Intent Analysis
The user, Magic Johnson, demonstrates clear and deliberate intent to exfiltrate sensitive company data by actively seeking ways to bypass DLP controls and transferring confidential business information to a personal Dropbox account.
Anomaly
The user's actions deviate substantially from normal business operations. Transferring sensitive marketing and IPO-related data to personal cloud storage is a clear policy violation and not aligned with the user's role or legitimate business needs.
Recommendation
Immediately suspend the user's access to sensitive data and corporate cloud storage integrations pending a full investigation.
Conduct a thorough forensic analysis of the user's devices and network activity to identify the scope of data exfiltration.
See Where Your Data Is Actually Going
Run a 30-day proof of value on your own data, not a demo environment.
Get a Demo