Shadow AI: Why Banning AI Doesn’t Work & How to Protect Your Data

Ban AI? 🛑

Your employees are still going to use it.

Or if you think your teams are only going to use the 'approved' AI..... think again. Studies show that Shadow AI is an uncontrollable force.

So why don't AI bans work?

And what can you do about it to protect your company's data?

Join and we'll break it down.

Shadow AI: Why Banning AI Doesn’t Work & How to Protect Your Data -- An Everyday AI Chat with Jordan Wilson and Airia's Kevin Kiley (Replay)

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Topics Covered in This Episode:

1. AI Sprawl in Modern Enterprises
2. Shadow AI and Security Risks
3. Managing Unauthorized AI Tool Usage
4. Centralized AI Orchestration Platforms
5. Vendor Lock-In and Model Agility
6. Securing Agentic AI in Organizations
7. Financial Impact of AI Sprawl
8. Discovery and Audit for Shadow AI

Timestamps:

00:00 "Navigating AI Chaos"

04:31 AI Tool Mismanagement Risks

06:51 AI Security Risks Escalating

12:15 "Mastering AI for Business Growth"

13:58 "Managing AI Complexity and Security"

17:39 "Agility and Avoiding AI Lock-In"

22:30 AI Pilots' Production Failure Crisis

25:36 "AI Risks: Ambiguity and Security."

28:39 "AI Awareness and Discovery"

Keywords:

AI sprawl, shadow AI, unsanctioned AI tools, unauthorized AI usage, AI orchestration, AI security platform, enterprise AI management, central control plane, AI observability, AI guardrails, agentic capabilities, overly permissive agents, data security risks, prompt injection attacks, indirect prompt injection, AI vendor management, AI redundancy, financial impact of AI, AI ROI, AI spaghetti, model garden, model benchmarking, AI operational complexity, model deprecation, model procurement, vendor lock-in, multi-model environment, AI sandbox, secure AI environment, AI failover, modular AI setup, business continuity, AI outages, domain-specific models, Hugging Face, open source models, AI token consumption, cost efficiency, GenAI pilots, production AI, MIT GenAI divide report, shadow IT, AI discovery, AI risk mitigation, agentic AI and security, natural language manipulation, AI-driven cyberattacks, agent permissions, business process automation, role-based access control, compliance in AI deployment, technology integration.

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