Insider Risk

Detect and Prevent Insider Threats

Proactively identify risky behavior before it becomes a breach. IneShield combines AI-powered risk scoring with comprehensive monitoring to protect your organization from within.

AI-powered risk scoring
Real-time anomaly detection
Streamlined investigations
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Insider Risk Capabilities

Comprehensive tools to identify, investigate, and mitigate insider threats

Risk Scoring

AI-powered risk scores that quantify potential threats based on behavioral patterns and contextual factors.

Anomaly Detection

Machine learning algorithms that establish baselines and identify deviations from normal behavior.

Investigation Workflow

Streamlined tools for investigating alerts, gathering evidence, and documenting findings.

Real-Time Alerts

Instant notifications when high-risk activities are detected, enabling rapid response.

Watchlist Management

Monitor high-risk users with enhanced scrutiny during sensitive periods or transitions.

Risk Assessment

Comprehensive risk assessments that factor in role, access, behavior, and external context.

How Insider Risk Management Works

From data collection to incident response in four steps

1

Collect Data

Lightweight agents collect activity data from endpoints across your organization.

2

Analyze Behavior

AI establishes behavioral baselines and identifies patterns unique to each user.

3

Detect Anomalies

Machine learning algorithms flag deviations and calculate dynamic risk scores.

4

Investigate & Respond

Security teams investigate alerts and take action to mitigate risks.

Real-World Scenario Examples

See how IneShield detects and helps you respond to common insider threat scenarios

Critical Risk

Departing Employee

An employee who resigned is downloading large amounts of proprietary data before their last day.

Risk Indicators:
Bulk file downloadsUSB device usage spikeCloud upload attemptsAfter-hours activity
High Risk

Compromised Account

A user account shows signs of being accessed by an unauthorized party after a successful phishing attack.

Risk Indicators:
Unusual login locationOff-hours accessPassword reset attemptsNew device registration
Medium Risk

Policy Violation

A user is repeatedly accessing restricted resources and sharing sensitive files externally.

Risk Indicators:
DLP policy triggersUnauthorized app usageExternal sharingAccess to restricted folders
AI-Powered

Dynamic risk scoring that adapts in real-time

Our AI continuously learns from user behavior to establish personalized baselines. When activity deviates from normal patterns, risk scores adjust automatically.

50+
Behavioral Factors
12
Risk Categories
99.2%
Detection Accuracy
<2%
False Positive Rate
User Risk Assessment
JM
John Mitchell
Finance
85
+12
SW
Sarah Williams
Engineering
72
+5
MJ
Mike Johnson
Sales
45
-8
EC
Emily Chen
Marketing
28
+2

Insider Risk FAQs

IneShield can monitor system usage, productivity tools, browsing activity and more.

Yes, employee monitoring is legal in many regions if proper policies and transparency are maintained.

Enterprise Security

Take control of insider risk

See how IneShield can help you detect and prevent insider threats.

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