Blogs
Why Policy-Driven AI Is Becoming the New Standa...
SOC and RVM teams are under pressure to do more with noisy camera alerts, limited staff, and rising expectations for alarm verification. This article explains why policy-driven AI is becoming...
The 2026 Security Talent Gap Isn’t Headcount — ...
If your response to “more cameras” is “hire more operators,” you’re not scaling—you’re compounding alert debt. In 2026, the real gap is noise + context switching + skills misalignment. Here’s...
Ranger Isn’t “Video Analytics.” It’s a Policy E...
Most SOCs aren’t understaffed—they’re drowning in motion noise. Ranger fixes the real bottleneck: decision quality at scale. With plain-English policies, user-defined severity, continuous feedback, and integrations into existing workflows, Ranger...
AI + Intelligent Automation in Physical Security
Security didn’t lose because cameras are bad. Security lost because humans can’t process infinite video. This post explains the science behind alert overload, the difference between AI and Intelligent Automation (IA),...
Built for Low-Margin Monitoring: Stop Paying fo...
If you run a monitoring center, your biggest “cost” isn’t labor or dispatch fees—it’s operator minutes wasted on non-events. This post breaks down the RVM margin trap, why “AI pricing” gets...
After-Hours Monitoring Is a Margin Trap (Unless...
Most “after-hours monitoring” programs don’t fail because the team is weak. They fail because the queue is loud. When 90–99% of alarm calls to police are false, your monitoring operation...
Why Executives Who Ignore Unified OT Security T...
Executives who dismiss unified OT security taxonomies are betting on outdated silos. The future belongs to leaders who embrace convergence—before competitors and regulators make the decision for them.
