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Didi and Lital open with sports talk about the Bruins being down 2–1 to the Sabres and the Patriots drafting another short-armed offensive tackle, then discuss controversy involving Mike Vrabel and a fired Athletic reporter, arguing it’s largely a consent and conflict-of-interest issue and criticizing sports-media “source” standards. They share family updates: a friend is bringing them to a Bruins playoff game in a suite, Ron will attend RIT near Buffalo, and Leia will attend Reichman University in Herzliya. The main segment focuses on securing AI in enterprises, warning against applying old security tools without a risk model and advocating desktop-based AI agents that leverage endpoint CPUs, TPM-backed secret storage, enterprise permissioning, activity logging, VPN/proxy controls, MDM policies, and DLP/classification to manage where AI-generated data is stored, contrasting endpoint approaches with complex server-side “container” architectures that move credentials.
Topics
00:19 Bruins and Patriots Talk
01:27 Vrabel Reporter Scandal
06:18 Playoff Suite Stories
07:24 Kids College Decisions
09:55 Why Securing AI Matters
12:54 Desktop Agents and Tokens
16:13 Policies Logs and Controls
21:59 Data Classification and DLP
25:10 Endpoint vs Server Harnesses
28:52 Wrap Up and Outro
By pod617.comDidi and Lital open with sports talk about the Bruins being down 2–1 to the Sabres and the Patriots drafting another short-armed offensive tackle, then discuss controversy involving Mike Vrabel and a fired Athletic reporter, arguing it’s largely a consent and conflict-of-interest issue and criticizing sports-media “source” standards. They share family updates: a friend is bringing them to a Bruins playoff game in a suite, Ron will attend RIT near Buffalo, and Leia will attend Reichman University in Herzliya. The main segment focuses on securing AI in enterprises, warning against applying old security tools without a risk model and advocating desktop-based AI agents that leverage endpoint CPUs, TPM-backed secret storage, enterprise permissioning, activity logging, VPN/proxy controls, MDM policies, and DLP/classification to manage where AI-generated data is stored, contrasting endpoint approaches with complex server-side “container” architectures that move credentials.
Topics
00:19 Bruins and Patriots Talk
01:27 Vrabel Reporter Scandal
06:18 Playoff Suite Stories
07:24 Kids College Decisions
09:55 Why Securing AI Matters
12:54 Desktop Agents and Tokens
16:13 Policies Logs and Controls
21:59 Data Classification and DLP
25:10 Endpoint vs Server Harnesses
28:52 Wrap Up and Outro