{"version":"1.0","type":"rich","provider_name":"Acast","provider_url":"https://acast.com","height":250,"width":700,"html":"<iframe src=\"https://embed.acast.com/$/6acbdd888f90a39dfc41bd9a/6aece98f3a774bc7314d567d?\" frameBorder=\"0\" width=\"700\" height=\"250\"></iframe>","title":"Criminals run like companies – Thomas Mølgaard, DXC Technology","thumbnail_width":200,"thumbnail_height":200,"thumbnail_url":"https://open-images.acast.com/shows/6acbdd888f90a39dfc41bd9a/763898f1-e7af-4cae-93bd-ea78a7fe1969.jpg?height=200","description":"<p>Cyber criminals are organised like companies, and AI is making their attacks better. Thomas Mølgaard, Security Lead Nordics at DXC Technology, returns to Digitaliseringspodden to talk about the threat landscape and what organisations can actually do about it.</p><p><br></p><p>Thomas walks through a real Teams attack that happened on the day of a layoff, explains why 100 % security is impossible, and shows how average loss expectancy turns risk into a number leadership can budget for. The episode ends with where to start: three things, two times.</p><p><br></p><p>Chapters</p><p>0:09 Introduction</p><p>0:30 The threat landscape and AI</p><p>6:49 Criminal groups run like companies</p><p>9:56 AI-written phishing and AI agents</p><p>16:23 Case: a Teams attack on layoff day</p><p>27:36 What can we do? Accepting that 100 % is impossible</p><p>34:19 Budget and the business case</p><p>37:40 Average loss expectancy – putting a number on risk</p><p>46:39 Where to start: three things, two times</p><p><br></p><p><em>Part 2 of 2</em></p>","author_name":"Jens Christian Bang og Dag Rustad"}