Proposed Security Guard Training Measure Delayed Again

Proposed Security Guard Training Measure Delayed Again

The measure, from the Pittsburgh City Council, would require security companies that guard large buildings to put their employees through a city-approved training program

A proposed Pittsburgh City Council measure that would require security companies that guard large buildings to put their employees through a city-approved training program, among other requirements, was delayed again Wednesday as critics said the city cannot legally impose the provisions on private businesses.

 

Currently, the law would apply to any building or complex of at least 100,000 square feet; apartment buildings of 50 units or more; colleges and universities; museums; and health care facilities. It would require security guards to receive a minimum of 40 hours of initial training and an annual eight-hour “refresher course” on a wide variety of topics by a training school approved by the city fire bureau.

 

The legislation also requires the security officer’s employer to pay for and provide proof of the training. Employers of other building employees, such as janitors and maintenance workers, must pay for a less-extensive version of the training.

About the Author

Matt Holden is an Associate Content Editor for 1105 Media, Inc. He received his MFA and BA in journalism from Ball State University in Muncie, Indiana. He currently writes and edits for Occupational Health & Safety magazine, and Security Today.

Featured

  • AI Is Now the Leading Cybersecurity Concern for Security, IT Leaders

    Arctic Wolf recently published findings from its State of Cybersecurity: 2025 Trends Report, offering insights from a global survey of more than 1,200 senior IT and cybersecurity decision-makers across 15 countries. Conducted by Sapio Research, the report captures the realities, risks, and readiness strategies shaping the modern security landscape. Read Now

  • Analysis of AI Tools Shows 85 Percent Have Been Breached

    AI tools are becoming essential to modern work, but their fast, unmonitored adoption is creating a new kind of security risk. Recent surveys reveal a clear trend – employees are rapidly adopting consumer-facing AI tools without employer approval, IT oversight, or any clear security policies. According to Cybernews Business Digital Index, nearly 90% of analyzed AI tools have been exposed to data breaches, putting businesses at severe risk. Read Now

  • Software Vulnerabilities Surged 61 Percent in 2024, According to New Report

    Action1, a provider of autonomous endpoint management (AEM) solutions, today released its 2025 Software Vulnerability Ratings Report, revealing a 61% year-over-year surge in discovered software vulnerabilities and a 96% spike in exploited vulnerabilities throughout 2024, amid an increasingly aggressive threat landscape. Read Now

  • Motorola Solutions Named Official Safety Technology Supplier of the Ryder Cup through 2027

    Motorola Solutions has today been named the Official Safety Technology Supplier of the 2025 and 2027 Ryder Cup, professional golf’s renowned biennial team competition between the United States and Europe. Read Now

  • Evolving Cybersecurity Strategies

    Organizations are increasingly turning their attention to human-focused security approaches, as two out of three (68%) cybersecurity incidents involve people. Threat actors are shifting from targeting networks and systems to hacking humans via social engineering methods, living off human errors as their most prevalent attack vector. Whether manipulated or not, human cyber behavior is leveraged to gain backdoor access into systems. This mainly results from a lack of employee training and awareness about evolving attack techniques employed by malign actors. Read Now

New Products

  • PE80 Series

    PE80 Series by SARGENT / ED4000/PED5000 Series by Corbin Russwin

    ASSA ABLOY, a global leader in access solutions, has announced the launch of two next generation exit devices from long-standing leaders in the premium exit device market: the PE80 Series by SARGENT and the PED4000/PED5000 Series by Corbin Russwin. These new exit devices boast industry-first features that are specifically designed to provide enhanced safety, security and convenience, setting new standards for exit solutions. The SARGENT PE80 and Corbin Russwin PED4000/PED5000 Series exit devices are engineered to meet the ever-evolving needs of modern buildings. Featuring the high strength, security and durability that ASSA ABLOY is known for, the new exit devices deliver several innovative, industry-first features in addition to elegant design finishes for every opening.

  • Camden CM-221 Series Switches

    Camden CM-221 Series Switches

    Camden Door Controls is pleased to announce that, in response to soaring customer demand, it has expanded its range of ValueWave™ no-touch switches to include a narrow (slimline) version with manual override. This override button is designed to provide additional assurance that the request to exit switch will open a door, even if the no-touch sensor fails to operate. This new slimline switch also features a heavy gauge stainless steel faceplate, a red/green illuminated light ring, and is IP65 rated, making it ideal for indoor or outdoor use as part of an automatic door or access control system. ValueWave™ no-touch switches are designed for easy installation and trouble-free service in high traffic applications. In addition to this narrow version, the CM-221 & CM-222 Series switches are available in a range of other models with single and double gang heavy-gauge stainless steel faceplates and include illuminated light rings.

  • QCS7230 System-on-Chip (SoC)

    QCS7230 System-on-Chip (SoC)

    The latest Qualcomm® Vision Intelligence Platform offers next-generation smart camera IoT solutions to improve safety and security across enterprises, cities and spaces. The Vision Intelligence Platform was expanded in March 2022 with the introduction of the QCS7230 System-on-Chip (SoC), which delivers superior artificial intelligence (AI) inferencing at the edge.