The Intelligence Shift
Why Video is No Longer Just "Footage" in 2026

In the world of modern intelligence, we don’t have a "data collection" problem - we have a "data utilization" problem. Today, a single surveillance network generates more footage in a day than a team of analysts could watch in a lifetime.

As the Wall Street Journal recently highlighted in its report on how AI is "turbocharging" the war in Iran, the modern battlefield is no longer just about who has more sensors - it's about who can make sense of the noise first.

The "Ocean of Data" Problem

Most agencies are currently sitting on what analysts call "Dead Video"- thousands of hours of footage that are never reviewed because the manual effort is simply too high.

Matan Goldner, CEO of Conntour, recently addressed this challenge:

“Intelligence agencies already have access to tons of video data, and current AI enables them to detect exactly what they need within an ocean of data.”

But detection is only half the battle. If you have to spend hours training a system for every new threat or clicking through endless drop-down menus, you’ve already lost your lead.

Why Natural Language Search (NLS) is the Game Changer

The shift we are seeing in 2026 - and what the Financial Times calls the quest for "Speed of Insight"- is being driven by Natural Language Search (NLS).

Instead of relying on systems with predefined parameters, analysts can now use Natural Language - querying the system in the same free-form way they would describe a suspicious scene to a colleague.

What real Intelligence querying looks like in 2026:

• Exchanges: "Find two individuals handing over a laptop to each other in the main square."
• Suspicious Behavior: "Locate anyone loitering near the back entrance of the facility for more than 15 minutes."

The Bottom Line: Turn Footage into Answers

The era of the "Security Guard staring at 50 monitors" is over. In 2026, a video system is only as good as its search bar. By turning raw video into searchable intelligence, we aren't just recording what happened in the past -we are giving the power to identify threats before they escalate.

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