Surveillance Units With Monitoring
Monitoring Services
Surveillance Units With Monitoring
Monitoring Services
Confidence in our published performance
Every security provider can publish performance numbers. What matters is whether customers can trust how they are calculated.
Jatagan Security is the first in the security industry to earn UL Solutions verification for its
Security Incident Performance Reporting and Calculation Process
– the documented process used to report security incidents and calculate our published Crime Prevention Success Rate.
Performance claims are only as meaningful as the process used to produce them.
Without a documented methodology, buyers have no way to know:
UL Verification is an objective, science-based assessment of specific marketing claims. For Jatagan, UL Solutions examined the documented process used to report security incidents and calculate our published Crime Prevention Success Rate.
Together, these components support consistent incident reporting and calculation of Jatagan’s published Crime Prevention Success Rate.
At the beginning of each month, Jatagan recalculates its Crime Prevention Success Rate using a rolling 12-month dataset from all active monitored deployments. The updated performance is published on the homepage.
The following methodology is applied consistently across all active monitored deployments.
Every verified intrusion attempt is recorded using consistent reporting criteria.
False alarm events are excluded to determine the Net Intrusion Attempts used in the calculation.
Every “Miss” is recorded and included in the calculation.
= [1 − (Misses ÷ Net Intrusion Attempts)] × 100
At the time UL Solutions completed its process-based audit in July 2026, Jatagan’s published rolling 12-month Crime Prevention Success Rate was 99.98%. UL Solutions verified the reporting and calculation process used to produce this metric.
Jatagan’s layered security approach combines AI-Augmented DHDMSM with standardized procedures and continuous incident documentation across active monitored deployments.
DETECT
AI + two independent monitoring agents.
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EVALUATE
Simultaneous multi-layer threat assessment.
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INTERVENE
Immediate real-time response.
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DOCUMENT & IMPROVE
Every incident recorded. Every miss reviewed and used to improve operating procedures, monitoring practices, and personnel training.
Artificial intelligence is a powerful detection tool but it does not detect every real-world threat.
Outdoor environments present challenges such as poor lighting, weather, obstructions, and partial visibility that can reduce AI detection performance.
Based on internal performance data from Jatagan’s active monitored deployments, AI-only detection identifies approximately 70–85% of verified real-world threats, even when using professional-grade equipment.
To reduce those detection gaps, Jatagan uses AI-Augmented DHDMSM (Dual-Human Detect & Monitor), where AI and two independent monitoring agents detect and monitor simultaneously.
Multiple layers of detection. No single detection dependency.
Watch how Jatagan’s verified approach delivered real-world results on the American River Bridge Rehab project in Sacramento.
We specialize in outdoor video security systems for:
UL Solutions verified Jatagan’s Security Incident Performance Reporting and Calculation Process. This documented process defines how security incidents are reported and how Jatagan’s published Crime Prevention Success Rate is calculated. The verification confirms that the documented process is applied consistently as described.
At the beginning of each month, Jatagan recalculates its published Crime Prevention Success Rate using a rolling 12-month dataset from all active monitored deployments. Every verified intrusion attempt and prevention failure (“Miss”) is documented, false alarm events are excluded, and the published performance is calculated using Jatagan’s Security Incident Performance Reporting and Calculation Process, independently verified by UL Solutions.
At the time UL Solutions completed its audit in July 2026, Jatagan’s published rolling 12-month Crime Prevention Success Rate was 99.98%. UL Solutions verified the documented reporting and calculation process used to produce that published performance, not the percentage itself.
Performance claims are only as meaningful as the methodology used to produce them. An independently verified reporting and calculation process helps customers understand how incidents are defined, how performance is measured, and whether the same methodology is applied consistently across all monitored deployments.
AI-Augmented DHDMSM (Dual-Human Detect & Monitor) is Jatagan’s layered remote video monitoring methodology that combines AI detection with two independent human monitoring agents. AI and both agents detect and monitor simultaneously, helping reduce missed threats and improve crime prevention in challenging outdoor environments.
Jatagan provides AI-augmented outdoor video security for construction sites, critical infrastructure, industrial facilities, vacant properties, remote locations, and other high-risk outdoor environments. The same Security Incident Performance Reporting and Calculation Process is applied consistently across all active monitored deployments.