Risk Prevention

Protect Against Insider Threats via AI

AI tools have become a new vector for data exfiltration. Whether malicious or careless, insiders can use AI to extract, summarize, and export sensitive data. Secured AI provides the visibility and controls to detect and prevent it.

Insider Threat Scenarios

AI tools create new opportunities for data theft and accidental exposure.

Malicious

Scenario

Departing employee extracts customer data

Details

An employee planning to join a competitor uses AI tools to summarize and extract customer contact lists, deal histories, and pricing information.

Impact

Competitive intelligence loss, customer relationship damage, potential legal action

Malicious

Scenario

Developer copies proprietary code

Details

A developer uses AI to refactor and document proprietary algorithms, creating sanitized versions they can take to their next employer.

Impact

IP theft, competitive advantage erosion, trade secret compromise

Careless

Scenario

Sales rep shares deal terms

Details

A sales rep pastes entire proposals including pricing, terms, and client details into AI to generate follow-up emails.

Impact

Confidential business information exposure, negotiating position compromise

Careless

Scenario

Contractor accesses sensitive systems

Details

A contractor with overly broad access uses AI to analyze production data they should not have visibility into.

Impact

Data exposure, access control failure, compliance gap

Detection Indicators

Multiple signals that help identify potential insider threats.

Behavioral Indicators

Unusual volume of AI interactions
After-hours AI usage patterns
Large data extractions
Access to unfamiliar data types

Content Indicators

Customer list patterns
Financial/pricing data
Code and IP markers
Credential and access data

Context Indicators

User on termination notice
Contractor status changes
Role/access changes
Peer comparison anomalies

Technical Indicators

Policy bypass attempts
Multiple AI tool usage
Browser extension disabling
VPN/proxy usage

Insider Threat Controls

Defense in depth against data exfiltration via AI.

User-Level Monitoring

Track AI usage at the individual level with complete interaction logs

Anomaly Detection

ML-powered detection of unusual patterns that may indicate data exfiltration

Granular Access Controls

Define what data each user role can access and share with AI tools

Real-Time Alerts

Immediate notification when high-risk behaviors are detected

Investigation Support

Detailed logs and search capabilities for incident investigation

Data Protection

Even if intent is malicious, sensitive data is masked before reaching AI

Response Playbook

Graduated response based on threat severity.

Low Risk

Unusual pattern detected

Log and monitor
Include in periodic review
No immediate action

Medium Risk

Concerning behavior identified

Alert security team
Increase monitoring
Manager notification optional

High Risk

Potential data exfiltration

Immediate alert
Block AI access option
Incident response trigger

Critical

Active threat confirmed

Automatic block
Security escalation
Legal/HR notification

Frequently Asked Questions

How do you distinguish malicious from careless behavior?

We focus on patterns and context rather than intent. Whether someone is malicious or careless, the same controls apply—detect sensitive data, mask it, log the attempt, and alert if thresholds are exceeded. Intent determination is left to your security and HR teams.

Does monitoring impact user privacy?

We monitor AI interactions for sensitive data, not general employee activity. Logs capture what data was sent to AI tools, not keystroke-level surveillance. Organizations should communicate their AI monitoring policies to employees.

How do you integrate with existing insider threat programs?

We integrate with SIEM systems, provide webhook alerts for your SOAR platform, and export logs for correlation with other data sources in your insider threat program.

Can we set different policies for departing employees?

Yes. You can configure heightened monitoring and stricter controls for users based on HR status, role changes, or manual flags from your security team.

What about contractors and third parties?

Third-party users can be assigned to separate policy groups with appropriate restrictions. Common patterns include blocking certain data types entirely for contractor roles.

Protect Against AI-Enabled Data Theft

Add insider threat detection to your AI security program.

Free trial • User-level monitoring • SIEM integration