Vector Flow’s Physical Security Threat Intelligence solution uncovers security vulnerabilities and makes risk mitigation recommendations. It does this by employing advanced AI and Machine Learning algorithms to autonomously analyze and correlate myriad sources of data from system logs, IOT device logs, batch data, and physical access control systems in real-time to uncover anomalies and abnormalities that pose a potential threat to a security infrastructure.
Vector Flow’s platform helps quickly spot risky identities, risky sites, risky IOT edge devices, risky doors, etc. across the entire enterprise to discover suspicious access anomalies or compromised device controllers that pose as either insider threats or cyber risks in physical security infrastructure. The platform takes advantage of recommendations coming out from the AI/ML engines and converts them into specific actions – such as blocking a perpetrator's access to a site, identifying compromised ports and firmware vulnerabilities, and auto-scheduling certain jobs based on certain triggers, and updating configuration data.
