New Version With AI Powered
Predict Insider Threats Before They Act
Your Employees Are Your Biggest Security Risk
The Insider Threat Reality:
60% of data breaches involve insider threats, yet most companies still rely on reactive monitoring that catches problems after damage is done. Traditional behavioral analytics create alert storms while missing actual malicious behavior.
Insider Threat Risks
Insider Threat Statistics
The hidden cost and impact of internal breaches
$16.2 M
Cost per insider threat incident: $16.2 million
326 days
Time to contain insider threats: 326 days (vs 287 for external threats)
34%
34% of insider threats are malicious, 66% are accidental
31%
Only 31% of organizations can detect insider threats within weeks
AI-Powered Predictive Intelligence:
Our Insider Risk Management doesn't just monitor - it predicts. Advanced behavioral AI models identify risky patterns weeks before malicious actions occur.
See the Difference
Insider Threat Detection: Traditional vs AI-Native
How AI-native detection outpaces traditional tools in accuracy, speed, and reliability
Detection Capability
Prediction Accuracy
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False Positive Rate
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Time to Detection
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Behavioral Pattern Recognition
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Risk Score Accuracy
Investigation Time
Traditional UEBA
23%
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78% |
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197 days |
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12 patterns |
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16 hours |
34% |
AI-Native IRM
94.7%
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4.2%
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12 hours |
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2,847 patterns
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97.3% |
23 minutes |
Improvement Factor
4x improvement
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18x improvement |
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394x faster |
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237x more comprehensive
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3x improvement
42x faster
Behavioral AI Revolution
Turning Behavior Into Defense: Smarter, Faster, More Accurate AI Security
2
Contextual Behavior Analysis
Legacy Problem:
Flagging employees working late as suspicious
Our Revolution:
AI understands normal business context and genuine anomalies
Real Impact:
94.7% accuracy in threat prediction, zero employee harassment
3
Digital Forensics Intelligence
Legacy Problem:
Investigating after the damage is done
Our Revolution:
Continuous forensic data collection with AI-powered analysis
Real Impact:
Complete attack reconstruction in 23 minutes vs 2+ weeks
4
Privilege Abuse Detection
Legacy Problem:
Missing admin credential abuse and privilege escalation
Our Revolution:
AI monitors privilege usage patterns and access anomalies
Real Impact:
Prevents 97% of privilege-based insider attacks
Insider Risk Management
Risk Categories & Detection Rates
AI-Native detection dramatically improves accuracy across all insider threat types
Insider Threat Type
Malicious Data Theft
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Accidental Data Loss
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Privilege Abuse
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Policy Violations
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Fraud & Embezzlement
Sabotage
Traditional Detection
31%
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45% |
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28% |
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67% |
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19% |
23% |
AI-Native Detection
98.5%
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96%
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97.2% |
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99.1%
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95.8% |
94.3% |
Risk Level
Critical
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High |
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Critical |
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Medium
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Critical
Critical
Timeline
Insider Risk Timeline Analysis:
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Week 3-4
Risk score escalation triggers enhanced monitoring
Week 5-6
Pattern confirmation and early intervention
Week 7+
Traditional tools finally detect (too late)
Trust But Verify With AI
"The biggest threat to your data isn't hackers breaking in - it's employees who already have the keys. Our AI watches the watchers."
Testimonials
Trusted by Security Leaders
Hear What They Say!
Shreesh Dubey
Ex-Google, Microsoft, Intel Advisor
"Using this SaaS product has completely transformed the way my team operates. We’ve streamlined workflows, reduced manual tasks, and achieved goals faster than ever. Their intuitive tools and exceptional support have been game-changers for our growth!"
45%
Increase in Productivity
250k
Revenue Boost in 2023
90%
Reduction in Manual Errors
Stop Guessing. Start Knowing. See Real Security Intelligence.
Transform chaotic security alerts into crystal-clear threat intelligence with AI that actually explains what's happening in your environment.
