{"version":"1.0","type":"rich","provider_name":"Acast","provider_url":"https://acast.com","height":250,"width":700,"html":"<iframe src=\"https://embed.acast.com/$/6710bd164114798e63e10fe5/69d4f1771d7024f1a701a13a?\" frameBorder=\"0\" width=\"700\" height=\"250\"></iframe>","title":"#048: AI News for business - week 15","thumbnail_width":200,"thumbnail_height":200,"thumbnail_url":"https://open-images.acast.com/shows/6710bd164114798e63e10fe5/1775563024679-885a1573-6b2c-4f4a-be55-3a628a7fb37c.jpeg?height=200","description":"<p>One of the world’s most safety-focused AI companies exposed its own source code due to a simple configuration error.&nbsp;The incident points to a broader shift: as AI moves into production, the&nbsp;real challenge&nbsp;is no longer the models themselves, but the governance, processes, and operational maturity around them.&nbsp;&nbsp;</p><p><br></p><p><strong>Top stories for week 15:</strong>&nbsp;</p><p>&nbsp;</p><ul><li>Anthropic incidents highlight how operational risk can&nbsp;impact&nbsp;even leading AI players&nbsp;</li><li>Most enterprises are still early in scaling AI agents, with limited visibility and control&nbsp;</li><li>New solutions&nbsp;emerge&nbsp;to manage agent identity, access, and governance&nbsp;</li><li>Enterprise platforms accelerate deployment of AI agents across core business workflows&nbsp;</li></ul><p><br></p>","author_name":"Magnus Oxenwaldt"}