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In this Secured bonus soundbite, Andrew Feigenson, CEO of InformData, takes a critical look at why traditional background screening practices are no longer sufficient for today’s workforce.
Feigenson explains that most organizations still treat background checks as a one-time box to check during hiring, even though how people work—and the risks associated with their roles—have fundamentally changed. Employees move between positions, work remotely, and gain access to different systems and data over time. A static screening process, he argues, simply can’t keep up with these shifting realities.
Another major issue is data fragmentation. Many screening programs rely on incomplete or inconsistent public records and apply one-size-fits-all standards that fail to reflect the unique risk profile of each role. This not only creates inefficiencies, but can also lead to misinterpreted results, delayed hiring decisions, and unnecessary friction for qualified candidates.
Feigenson points to a growing need for dynamic, risk-based verification models that evolve alongside employees and organizations. Smarter infrastructure—capable of turning messy, outdated records into timely, decision-ready intelligence—is essential to maintaining trust and accountability in security-sensitive environments.
The takeaway aligns closely with Secured’s broader mission: real security depends on accuracy, context, and adaptability. As organizations rethink how they manage access, safety, and compliance, background screening must move beyond checklists and become an ongoing, intelligent part of a modern security strategy.
By MarketScaleIn this Secured bonus soundbite, Andrew Feigenson, CEO of InformData, takes a critical look at why traditional background screening practices are no longer sufficient for today’s workforce.
Feigenson explains that most organizations still treat background checks as a one-time box to check during hiring, even though how people work—and the risks associated with their roles—have fundamentally changed. Employees move between positions, work remotely, and gain access to different systems and data over time. A static screening process, he argues, simply can’t keep up with these shifting realities.
Another major issue is data fragmentation. Many screening programs rely on incomplete or inconsistent public records and apply one-size-fits-all standards that fail to reflect the unique risk profile of each role. This not only creates inefficiencies, but can also lead to misinterpreted results, delayed hiring decisions, and unnecessary friction for qualified candidates.
Feigenson points to a growing need for dynamic, risk-based verification models that evolve alongside employees and organizations. Smarter infrastructure—capable of turning messy, outdated records into timely, decision-ready intelligence—is essential to maintaining trust and accountability in security-sensitive environments.
The takeaway aligns closely with Secured’s broader mission: real security depends on accuracy, context, and adaptability. As organizations rethink how they manage access, safety, and compliance, background screening must move beyond checklists and become an ongoing, intelligent part of a modern security strategy.