00:00 - Why AI adoption is moving faster than cloud and SaaS ever did
01:20 - The professional pressure to skill up on AI now
03:19 - How cloud security and SaaS security lagged behind adoption
06:13 - Why organizations can’t simply say no to AI tools
08:30 - The difference between cloud-era experimentation and today’s browser-based AI
10:37 - Why AI security and SaaS security are becoming the same problem
12:31 - Why traditional onboarding and vendor review processes don’t scale
14:43 - The Salesforce example that exposed hidden risk in a large enterprise
17:00 - Why most third-party risk programs only cover part of the estate
19:07 - How decentralized tech adoption bypasses security workflows
20:31 - Why OAuth grants and third-party integrations are a major attack path
22:25 - Why attackers usually go after credentials and tokens, not zero days
23:19 - How AI lowers the barrier to entry for attackers
26:55 - Why defenders need agentic capabilities too
28:16 - The scale of unmanaged OAuth grants inside enterprises
30:26 - Why no one can hire enough people to review every grant manually
31:53 - How agents can analyze risk and recommend revocation at scale
33:33 - The reality check from customer conversations about AI visibility
35:24 - How security people think when told they can’t do something
38:16 - Reactance theory and why employees work around controls
40:25 - Incentives matter more than policy slogans
41:48 - Why binary block or allow controls create shadow IT
43:30 - How Nudge Security approaches SaaS and AI as one workforce problem
46:14 - Why a workforce edge model matters more than network or identity alone
48:26 - What just-in-time policy decisions could look like in the browser
50:10 - Why policy experience is as important as policy enforcement
52:08 - Danielle on Nudge Security’s free trial and LinkedIn presence
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