Designed to dramatically reduce LTE/5G transmission costs and storage requirements, the platform applies AI perceptual and content-aware compression at the edge before enabling centralized reasoning tiers powered by accelerated infrastructure.
Convergint’s “The Path to Intelligent Security” framework outlines five levels for advancing AI-enabled security operations: detect, describe, explain, recommend and act.
The joint offering enables real-time facial recognition and video analytics at the edge, designed to reduce infrastructure costs while increasing performance and deployment flexibility.
Designed to give security teams a practical path to modernize their identity architecture, the solution consolidates physical and logical access under a single phishing-resistant credential, reducing vendor complexity and strengthening security posture without disrupting existing infrastructure.
The independent audit confirms that across all tested controls, including access management, infrastructure security, monitoring and incident response, Oncam successfully met all controls with no exceptions noted.
Through this agreement, the three companies will combine their core competencies in AI security, robotics and architectural infrastructure to jointly develop advanced residential complex models where service robots equipped with AI security features can operate safely and naturally.
The interoperability expands radar options available to customers, strengthening layered airspace awareness across defense, critical infrastructure and public safety environments.
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