Nico Dekens/Dutch OSINT guy
Nico “Dutch_Osintguy” Dekens is an All Source Analyst specializing in Open Source Intelligence (OSINT), online Human Intelligence (HUMINT) and Online investigations.
Nico Eats, Sleeps, and lives everything which has to do with OSINT, online investigations, Intelligence gathering and Analysis.
Nico is an international lecturer at Fortune 500 companies and governments. He has over 20 years experience as an (all source) Intelligence Analyst at Dutch Law Enforcement. He analyzed murder cases, international narcotics cases, stolen art cases, gang violence cases, political disturbance cases, online jihadist groups & conducted several online, covert, virtual HUMINT investigations.
Nico has worked as Senior Project Manager at Bellingcat, an international independent investigative research collective.
Online Nico is known as Dutch_OsintGuy and very active within the OSINT community. He is a Co-founder of the OSINTcurious project. Also he is a Sans Institute instructor for the SEC497: Practical Open-Source Intelligence (OSINT) course. Nico is the lead-author & instructor of the SANS SEC587 Advanced Open-Source Intelligence Gathering & Analysis course
Currently Nico is working as Director of Intelligence & Collection Innovation at ShadowDragon.
Sessions
Nico Dekens explains the history of OSINT (Open Source INTelligence), looks at the current state of OSINT, but especially looks at the future of OSINT.
Nico will discuss how OSINT has evolved and is embraced by the intelligence community, journalists and online OSINT investigators.
Nico will talk about current state and challenges within OSINT and will explore what is to be expected in the near and far future about OSINT Data collection and analysis.
This workshop by Nico Dekens gives practical hands-on insights how you can scale up Open Source Intelligence (OSINT) Video Intelligence Analysis, using Artificial Intelligence (AI) and Machine Learning (ML) provided by one of the biggest cloud-API providers, to greatly accelerate video investigations.
In the digital age manual video analysis has become cumbersome.
We often need quick answers and insights.
How would we deal with that if we have 2 hours of videomaterial, originating from Open sources like Social Media? How can we quickly detect faces, brands, extract text and audio from videos?