Engineering The New Revolutionary Security Paradigm
Superior Operation Utilyzes Advanced AIoT Infrastructure
POLARIS Security platform stands at the forefront of security technology, boasting an advanced AIoT (Artificial Intelligence of Things) cloud based platform. This innovative system guarantees operational excellence by serving as an autonomous intelligence backbone across connected edge environments. The integration of cutting-edge AI/ML models, software applications, and a robust communication backbone empowers the platform to deliver real-time and accurate intelligence. With Edge Security Suites seamlessly connecting to the POLARIS platform, it redefines security solutions with a proactive and adaptive approach, perfectly tailored to the dynamic demands of today’s security landscape.
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Integrated Dynamic Security Platform
Empower Security at the Operational Edge
Designed Edge AI suites for seamless deployment on-site, Enables connectivity of the data on-site to POLARIS platform and the continues feed of surveillance data to be displayed on the Mission Control System.
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Security Operating System
Designed for Accuracy, Speed & Optimization
- Automated Detection through feedback control and embedded behavioral-pattern-recognition rule-sets
- Monitor, Analyze, Report, Actuate
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Mission Control System
A Single Pane of Glass to Manage Security-at-scale
The platform provides security operators situational intelligence, visualization, and complete incident management capabilities, enables to understand unfolding events and quickly identify the best course of action.
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Mechanism of Operation
Smart Automation Security & Control Center Management
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Threat Intelligence Matrix
Data Quality and Quantity drive Quality Intelligence
POLARIS built-in advance analysis models provide the accurate and real-time Intelligence Matrix landscape. Enables to analyze and cross-reference with multi-channel data.
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Security Exponential AI
Implementation of Future Technology
The successful implementation of the ML model in POLARIS, driven by the abundance of data, has led to exponential growth in accuracy within a shorter timeframe. Running the AI model on the cloud not only enhances the model itself but also exponentially increases the quantity of data processed.
The complexity and rapid timescales of analyzing incoming data make AI/ML indispensable, as it surpasses the capabilities of human analysts alone.