Boon Edam Publishes Whitepaper on Advanced Data Available from High Security Entrance

Guide for security professionals to understand how data can help predict and prevent entry vulnerabilities
Boon Edam Publishes Whitepaper on Advanced
Data Available from High Security Entrance
Boon Edam Inc., published a whitepaper for security professionals. Titled ‘The Advanced Analytics of Security Entrances’, the whitepaper provides information and guidance about the data that can be extracted from security entrances. By delivering important insights into user traffic at the entry and in some cases, predictive metrics on the...

Boon Edam Inc., published a whitepaper for security professionals. Titled ‘The Advanced Analytics of Security Entrances’, the whitepaper provides information and guidance about the data that can be extracted from security entrances. By delivering important insights into user traffic at the entry and in some cases, predictive metrics on the potential for a breach, this data provides higher value than traditional swinging or sliding doors and access control systems alone.

Justification of Security Budgets

The world we live in is full of risk, yet, more than ever before, security professionals are being asked by the C-suite to prove the value of their security spend in order to gain necessary funding.

“Our clients are telling us that even though the C-suite is aware of the host of security risks and how these risks threaten to interrupt business operations, they are focused on costs,” says Greg Schreiber, Senior Vice President of Sales at Boon Edam. “Having the ability to justify the spend on security measures and prove that you are mitigating risk and complying with industry regulations can make all the difference in securing funding to achieve security objectives.”

Capturing Analytics that Tie Directly to Threat and Risks

‘The Advanced Analytics of Security Entrances’ whitepaper examines the weaknesses of the most common physical security measures in place at organizations today: the swing door paired with the access control reader.

Swing doors alone provide no control against tailgating or piggybacking; when opened they can allow any number of people to pass through, in either direction. And even when swing doors are used in conjunction with access control devices, these doors cannot detect who, if anyone, has passed through. In general, access controllers can identify door status and the identity of the credentials presented, and not much more.

This guide uncovers the capabilities of security entrances to capture analytics about user behavior that can be tied directly to threat and risk assessments. Not only do security entrances mitigate the risk of unauthorized entry by either detecting or preventing a breach, but they enable valuable analytics, such as whether a person actually entered the unit after authorization, if a tailgating attempt occurred, and more.


Capturing Predictive Analytics

This free guide discusses the ability of the latest technologies in security mantrap portals to provide data on the risk of a potential breach. Security professionals can calibrate the sensitivity levels of a security portal and report to the C-suite that the entry is set to, for example, a 95% breach protection level against future piggybacking attempts. This precise type of metric enables security professionals to accurately express the effectiveness of their physical security plan at preventing infiltration and provide peace of mind to management that future security breaches are being mitigated.

‘The Advanced Analytics of Security Entrances’ is available at no charge on the Boon Edam website here.