AI & Machine Learning: Opportunities or Threats to OSINT?

Too Much (dis)Information

Episode #2

AI & Machine Learning - Opportunities or Threats to OSINT?

Matt is a Hacker by nature who spent 21 years at the U.S. Department of Homeland Security he trained thousands of people across the Department of Defense, Department of Justice, Department of Homeland Security, on topics including OSINT and cyber security.

Matt is the Principal Instructor for the Open-Source Intelligence (OSINT) Course at the SANS Institute. He also spends his time nowadays as the founder of Argelius Labs.

Topics covered:

• The amazing changes that Matt has seen taking place in the OSINT world
• Why the conversation around his dinner table is more exciting than most households!
• The opportunities that OSINT analysts should be thinking about when it comes to new AI models - from sentiment improvements, automation, summarization, and more
• Where Matt sits on the debate about opening up vs. restricting generative AI development

Too Much (dis)Information

The podcast that explores everything related to disinformation and online networks. To help us make sense of the global town square that is social media, in every episode, our host speaks to a fresh voice to uncover the good, bad, and fake online.

This podcast believes that we are at a pivotal moment in the fight against disinformation. Many people apply the word disinformation to everything from fake news, bot networks, malicious actors, influence operations, manipulation, inauthentic accounts, social media imposters, OSINT threat intelligence, and much more.

So do we...

From the trends to the tools, Too Much (dis)Information brings you the experts on the front line fighting disinformation, and all its forms, across the public sector, brands, cyber security professionals, and academia.

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