Information Technology

Historically, physical security systems and information technology systems dwelt in different silos. Chief security officers and chief information officers ran their respective domains without input from the other. But rapid adoption of IP-based security devices spurred the convergence of physical and information security, bringing the two spheres together. SIA is dedicated to managing disciplines within this convergence.
AI Adoption in Security: Why It Matters and How to Get It Right
Across industries, artificial intelligence (AI) has transitioned from a futuristic concept to a practical, competitive necessity. The question is not if organizations should adopt artificial intelligence, but how they can do it thoughtfully. AI’s capabilities are accelerating rapidly, from streamlining logistics operations to triaging cybersecurity alerts. How do you know which processes best benefit your…
Keep Reading »SPARC Intelligence Report: Guidance for Evaluating Artificial Intelligence Vendors/Service Providers
The goal of this document is to empower end users to ask insightful, technically rigorous questions, helping them avoid costly mistakes, mitigate risks and ensure the solution aligns perfectly with their strategic, operational and compliance requirements.
Keep Reading »Cybersecurity Awareness Month Videos From SIA’s Cybersecurity Advisory Board
It’s Cybersecurity Awareness Month! As the month concludes, the Security Industry Association (SIA) Cybersecurity Advisory Board (CAB) is spotlighting the urgent challenges reshaping the security landscape—from artificial intelligence-driven threats and ransomware to the emerging implications of quantum computing. Check out these five new videos to learn tips from SIA and our CAB member experts! Cameron…
Keep Reading »Improving Visibility While Preserving Video Integrity
CNN-based low-light enhancement avoids the pitfalls of generative artificial intelligence In the rapidly evolving world of AI-powered imaging, it is easy to conflate all “AI enhancement” with generative methods. But when it comes to critical applications like surveillance, the distinction between generative and nongenerative artificial intelligence, convolutional neural network (CNN)-based enhancement is not just technical,…
Keep Reading »Is Your Security Solution Secure?
Endpoint Vulnerabilities Must Be Addressed Six years ago, a receptionist opened an email on her work computer. A seemingly ordinary, pedantic task. Unbeknownst to a menagerie of IT professionals at the time, this message was from her personal web-based email. But, still, none of this was out of the ordinary. For a plot twist, let…
Keep Reading »Business Transformation in the Age of AI
When people talk about artificial intelligence in business transformation, the focus tends to circle around solutions and products. New models, automation tools, intelligent assistants—you’ve heard it all. But what often gets missed in these conversations is the real driver: How do these AI solutions actually fit into the enterprise business operating system? It’s not enough…
Keep Reading »Better Together: How Edge AI and Agentic AI Combine to Provide Speed and Judgment
A recent comment from a senior security leader (formerly with a Fortune 50 company) cut to the heart of a growing debate. He said that edge artificial intelligence (AI) sometimes feels like a pricing tactic, a way for manufacturers to justify higher costs or lock buyers into proprietary ecosystems. While his caution has merit, it…
Keep Reading »How Agentic AI Can Redefine Physical Security
In a recent conversation with the chief information security officer and chief revenue officer of a large enterprise, I was surprised to learn that physical security risks were not on their enterprise risk dashboards. Cyber threats, financial exposures and compliance risks were closely monitored, but physical security—the first line of defense—was missing. This gap is…
Keep Reading »Solving Response With Agentic AI
Across the industry, security devices have scaled faster than the teams tasked with managing them. While we have more surveillance cameras installed than ever before, most of these systems aren’t monitored, making incident review the default position for many organizations. This creates a vicious cycle: review the footage, attempt to understand what happened and figure…
Keep Reading »Generative AI vs. CNN-Based Low-Light Enhancement: Why Preserving Original Video Integrity Matters
In the rapidly evolving world of artificial intelligence-powered imaging, it’s easy to conflate all “AI enhancement” with generative methods. But when it comes to critical applications like surveillance, the distinction between generative and nongenerative AI, convolutional neural network (CNN)-based enhancement is not just technical, it is fundamental to trust, integrity and evidence reliability. Surveillance cameras…
Keep Reading »