Trust: The Great Disappearing Act with Diana Kelley | Ready. Or Not. Episode 2
Commvault
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Trust: The Great Disappearing Act with Diana Kelley | Ready. Or Not. Episode 2
9 369 просмотров · 7 месяцев назад
Commvault
9,35 тыс. подписчиков
9 369 просмотров · 7 месяцев назад
In Ready or Not — Episode 2, host Nathan Mcintosh sits down with CISO Diana Kelley to unpack how digital trust is evolving in the age of AI — from the rise of deepfakes and fraud to the reality of AI hallucinations and shadow AI in the workplace. They explore why trust can’t rely on “who you think you’re talking to” anymore — and how organizations are responding with continuous verification and Zero Trust approaches that validate identity and behavior in real time.
What This Session Covers
How digital trust is evolving in the age of AI
Why deepfakes and AI impersonation are now real business risks
What Zero Trust really means and how continuous verification works
How AI hallucinations create new security and decision-making challenges
Why shadow AI adoption is accelerating inside organizations
How companies can enable AI innovation without exposing sensitive data
What agentic AI changes about risk, identity, and governance
Why security should enable speed, not slow the business down
Chapters
00:00 Evolving Trust in the Age of AI
03:02 Understanding Deepfakes and Their Impact
06:05 The Role of Zero Trust in Security
08:50 Navigating AI Adoption in Organizations
11:46 The Balance of Innovation and Security
TL;DR
AI is changing trust. Deepfakes and hallucinations make verification essential, and Zero Trust enables safer, faster adoption of AI—without exposing sensitive data.
Key takeaways
Trust is shifting as more interactions happen digitally, not face-to-face.
Deepfake fraud is real and can convincingly impersonate trusted leaders to trigger large transfers.
AI adoption needs governance, especially when employees use unapproved tools to move faster (shadow AI).
Zero Trust is real (and misunderstood): it’s not “trust no one,” it’s continuous authentication and verification.
AI hallucinations create risk when users assume outputs are always correct.
Agentic AI raises the stakes if autonomous systems can move data or take actions without guardrails.
Security should act like brakes on a car—enabling speed without spinning out.
Who this episode is for
CIOs
CISOs
CTOs
Identity & Access Management (IAM) leaders
Security architects and SecOps teams
Risk, compliance, and governance leaders
Business leaders adopting AI (Finance, Legal, Operations)
Want more conversations like this on cyber resilience, AI risk, and digital trust? Dive into the Readiverse: https://bit.ly/4nMgU3d
FAQ
What is digital trust?
Confidence that identities, systems, and online interactions are authentic—and that policies and controls keep behavior verifiable and safe.
What is Zero Trust in simple terms?
A model of continuous verification: even after login, systems keep checking identity, device, context, and behavior.
How do deepfake scams affect businesses?
Attackers impersonate leaders or partners using cloned voice/video to convince employees to transfer money or share sensitive info.
What is shadow AI?
When employees use AI tools outside approved systems—often to save time—creating data leakage and compliance risk. What are AI hallucinations? AI outputs that sound confident but are wrong, increasing risk when people over-trust machine-generated answers.
#ReadyOrNot #DigitalTrust #ZeroTrust #Deepfakes #AISecurity #IdentitySecurity #CyberRisk