Agents Act as the User
An agent runs as the user, so when it moves a labelled file, the log shows only the user.
Manage Insider Risk
Find Risky Insiders, Human or AI Agent
Netra ranks users by data risk over time, traces data events to the agents acting for them, and makes departures a defined process.
Get a DemoDATA PROTECTION › INSIDER THREAT
Insider Threat
High-risk users3Medium-risk users9Low-risk users27
UserRiskBehaviorsEventsAction
S. PatelEngineeringHighUploading Code to Non-Company Repositories14Resolve
A. RiveraSalesHighUploading Sensitive Files to Personal Cloud Storage9Resolve
J. BrownEngineeringMediumUnusual Code Download Activity6Resolve
M. ChenFinanceMediumSensitive Data via Non-Company Email4Resolve
Product views on this page use illustrative data.
The Challenge
Insider Risk Has New Actors
People still move data. Now the agents working for them do too.
Notice Periods Are Exit Windows
Files go home between a resignation and the last day, and most security tools never learn someone resigned.
Alerts Without a Story
One upload is noise; a pattern against a person’s own baseline is a case.
What You Get
Rank the Risk, Follow the Content, Close the Case
Rank people by risk, not by alert
Insider Threat scores each user against all employees from behavior over time, not single events.
Follow the content, not the filename
Fingerprinting follows data through zips and renames, so holiday-photos.zip is still the CRM export.
Close the case with evidence
Evidence holds collected files with operator and reason, and a filed resignation appears as risk context.
AI Agents as Insiders
When the Insider Is an AI Agent
Agents act as the user. See what they did with your data.
INVESTIGATION › ACTIVITY › AGENT TRACE
Agent Trace
S4Audit · J. Brown · PC-WIN-04 · claude
Event DetailsAgent Trace
- TaskRefactor the billing export job
- ChannelClaude Code · AI Coding Assistant
- User intentBuild test data from a production export
- Messages and tool calls Message
“Use real customer rows so the test data looks right”Readfinance/customers-2026.xlsxMIP · ConfidentialBashzip -r sample.zip ./exportUploadfiles.share.exampleS4 match
In this example, Agent Trace ties J. Brown’s Claude Code task, the labelled file it read, and the S4 upload into one record.
Risky Chains
Agent chains scored 0 to 10 by capabilities against labelled files on the device.
Agent Trace
The DLP event and the agent task, intent, and tool calls behind it, as one record.
File Access
Which agent process read which labelled file.
AI Conversation Review
Conversations with sensitive-content matches, by topic and activity type, plus Summarize.
Next Steps
Extend Insider Risk Across the Platform
Secure AI Coding
Control Claude Code, Cursor, and Codex on developer machines.
Learn moreStop AI Data Leakage
Block sensitive data in prompts, uploads, and responses.
Learn moreReplace Legacy DLP
One agent for 170+ channels, AI included.
Learn moreDiscover Shadow AI
Find the AI apps, agents, and personal accounts in use.
Learn moreFAQ
Common Questions
Why are AI agents an insider risk?
An agent acts with the user’s permissions, so one that can run commands, reach the network, and read files can move labelled data under that name.
How does Netra help with departing employees?
A filed resignation appears as risk context (“resignation filed, last day in 14 days”); Search lists the sensitive files on that endpoint, and remote extract and delete handle them.
Do we need to watch everyone to find the risky few?
No. Behavior is scored against each person’s own baseline, so reviewers start from a short list of users whose pattern changed. Identities can be anonymized.
What does a proof of value show about insider risk?
Which users and AI agents carry the most data risk, the behaviors behind each score, and where sensitive files sit at rest.