Security is a crucial aspect of any organization, and the effectiveness of security teams directly impacts the safety and well-being of employees and the protection of assets. In today’s business landscape, security teams are frequently asked to operate with limited resources while facing ever-evolving security threats.
Understanding the different types of field resources available and how to manage them effectively is vital for creating a comprehensive security strategy.
As a Security Director, I spent a lot of time seeking a single solution that would fulfill all my physical security operational needs — like bending an access control system (ACS) a bit to perform functions outside of its scope and attempting to build custom integrations for video management systems (VMS) – all to create some additional efficiencies.
Machine Learning (ML) should not be confused or used interchangeably with AI (Artificial Intelligence). ML is a subcategory of AI that uses algorithms to recognize patterns from data and automatically learn insights, allowing programs to become more intelligent.
ML ultimately should aim to remove the need for humans to do repetitive, low-value decision-making activities, like triaging false positives or system/device health ticketing.
