Artificial Intelligence

The trajectory is fairly clear: Smart City 1.0 was about efficiency and automation. Smart City 2.0, where most major cities sit today, focuses on integrated safety, unified platforms, and AI-assisted operations. Smart City 3.0, still emerging, points toward predictive resilience, where AI agents, digital twins and autonomous systems help cities anticipate disruption before it happens rather than simply respond to it.

How Technology, Collaboration and Public-Private Partnerships Are Transforming Urban Security

Cities are moving beyond connected infrastructure toward predictive resilience—but AI, public-private data sharing and ubiquitous sensors will only make communities safer when...

Sept. 3, 2026

It is New York City; is there much more to say? Large-scale programs for securing IoT and Smart Building Automation Systems did not exist, especially at the municipal level. The challenges were not only technological but also cultural within City agencies. The program would be new to the City.

Security Executives

The Smart City Security Imperative: Lessons from New York's IoT Cyber Defense Program

Sept. 3, 2026

Futureproofing must now account for more than investment protection. Systems must now withstand disruption, isolate compromised components, and keep business-critical operations running amid the looming AI threat.

Security Executives

Why Futureproofing Security Infrastructure Requires a New Playbook

Sept. 3, 2026

Most AI failures are not futuristic failures. They are ordinary security-design failures with a more expensive label.

Artificial Intelligence

AI in Security: Buy Capability, Not Theater

Sept. 3, 2026

Cybersecurity

Chess Masters, Fable, and the Path to More Effective Cybersecurity

Sept. 3, 2026

For web apps, we do not expose services directly to the internet without a web application firewall and API protections. GenAI needs an equivalent runtime layer – an inspection and enforcement system that sits in front of models to semantically evaluate prompts and responses.

Artificial Intelligence

When AI Models Become the Supply Chain Attack

Aug. 31, 2026

Operators must now decide how to respond. Decision-making will be expedited by providing cybersecurity standards for them to adopt. Fortunately, best practice standards already exist and have long been used in the nuclear industry. A common architectural baseline, proven methodologies, and compliance accreditation and approval processes are already in place.

Critical Infrastructure

AI Has Changed the Critical Infrastructure Threat Equation

Aug. 26, 2026

As AI solutions move from model-based assistants to autonomous agentic actors, they behave differently in enterprise architectures. These new behavior patterns—and their potential for exploitation will quickly make existing SOC models inadequate.

Security Executives

The SOC Is Entering the Age of Agentic AI

Aug. 25, 2026

Orchestration builds on integrated security technologies by coordinating systems, information, people and workflows to support broader operational objectives.

Integrators

Why Orchestration Is the Next Step Beyond Integration

Aug. 21, 2026

Artificial Intelligence

How Technology, Collaboration and Public-Private Partnerships Are Transforming Urban Security

The Smart City Security Imperative: Lessons from New York's IoT Cyber Defense Program

Why Futureproofing Security Infrastructure Requires a New Playbook

AI in Security: Buy Capability, Not Theater

Chess Masters, Fable, and the Path to More Effective Cybersecurity

When AI Models Become the Supply Chain Attack

AI Has Changed the Critical Infrastructure Threat Equation

The SOC Is Entering the Age of Agentic AI

Why Orchestration Is the Next Step Beyond Integration

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