The OSINT shift: faster, smarter… but better? (Issue 207)

Get a quick, sharp recap of last week’s OSINT highlights (10–16 Nov). New tools, key developments, new jobs, everything you need to stay ahead in the field.

Hi everyone, OSINT Jobs team here.

This week, we look at how OSINT continues to evolve, and why many in the community are questioning what that evolution means for the industry. From reflections on the rise of automation and AI, to insights from environmental investigations in the Amazon, to a behind-the-scenes look at how major OSINT toolkits are built, we cover the most important pieces of information to help you get your head around what OSINT is today.

On the tips side, we highlight new tools, upcoming events, and resources that can shape your investigative workflow.

As always, we spent the week monitoring the latest developments in the industry so you don’t have to. In just 5 minutes of reading this newsletter, you spare yourself hours of scrolling on social media!

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Exclusive Job Opportunities

Four new positions are available at ActiveFence:

• Research Specialist (AI Safety) → Apply here

• Freelancer OSINT/WEBINT Analyst - Chinese Focus → Apply here

• Freelancer - GenAI Red Team Specialist —> Apply here

• Freelancer Japanese Webint Analyst —> Apply here

• The Midas Project is also still looking for a research specialist in AI safety!

Want to find a job in the OSINT industry? Head over to osint-jobs.com to find tons of job openings!

Are you looking to hire? Post a job on the world’s leading job board for OSINT, intelligence, and security jobs, and connect with top-experts.

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OSINT Industry News

Covering events, entities, and technology that impact the OSINT world.

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In a recent essay for SpecialEurasia, Giuliano Bifolchi traces how OSINT shifted from a discipline anchored in human expertise to one which increasingly relies on automation and AI. Two decades ago, OSINT relied on slow, methodical analysis. Today, vast datasets and AI-assisted tools dominate the field. Sure, this allows for faster data gathering, but at what cost?