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AI has gone fully consumer, from voice recipes in the kitchen to bots that schedule your day. But when that same tech walks into the office, what happens to privacy, security and trust?
In this episode, we explore the blurred line between consumer AI convenience and enterprise AI chaos. What starts as smart personalisation quickly becomes a compliance headache when staff bring ChatGPT habits to corporate data.
We break down the risks of this โBYO AIโ culture, data exposure, false confidence and shadow automation. We talk about AI guardrails, hallucinations and why secure model design is more than a checkbox. From testing and drift to the reality of training your own models, this is what actually separates safe adoption from reckless hype.
We also dig into AI agents, data sovereignty and the emerging trend of digital twins. where automation starts acting with your tone, your style and sometimes your credentials.
AI isnโt the enemy, but uncontrolled AI is a threat surface.
If you care about how AI really fits into modern security, beyond the buzzwords, this oneโs worth your attention.
๐๐ป๐ท๐ผ๐๐ฒ๐ฑ ๐๐ต๐ฒ ๐ฒ๐ฝ๐ถ๐๐ผ๐ฑ๐ฒ? ๐ฆ๐๐ฏ๐๐ฐ๐ฟ๐ถ๐ฏ๐ฒ ๐ต๐ฒ๐ฟ๐ฒ
๐ฆ๐๐ฎ๐ ๐ฐ๐ผ๐ป๐ป๐ฒ๐ฐ๐๐ฒ๐ฑ ๐๐ถ๐๐ต ๐๐
Visit the CloudGuard website
Follow CloudGuard on social
๐๐ถ๐ธ๐ฒ๐ฑ ๐ผ๐๐ฟ ๐๐ฝ๐ฒ๐ฎ๐ธ๐ฒ๐ฟ๐?
Follow Javid Khan
Follow Yakub Desai
CHAPTERS
00:00 โ Intro
03:30 โ How people are bringing their personal AI habits into work
06:40 โ Whatโs real innovation vs. pure marketing theatre?
10:30 โ When Consumer AI Meets Corporate Data
15:00 โ Building Secure AI: Guardrails, Models & Mistakes
20:30 โ Fighting AI with AI
25:30 โ The Future: AI Colleagues, Deepfakes & Digital Twins
By CloudGuardAI has gone fully consumer, from voice recipes in the kitchen to bots that schedule your day. But when that same tech walks into the office, what happens to privacy, security and trust?
In this episode, we explore the blurred line between consumer AI convenience and enterprise AI chaos. What starts as smart personalisation quickly becomes a compliance headache when staff bring ChatGPT habits to corporate data.
We break down the risks of this โBYO AIโ culture, data exposure, false confidence and shadow automation. We talk about AI guardrails, hallucinations and why secure model design is more than a checkbox. From testing and drift to the reality of training your own models, this is what actually separates safe adoption from reckless hype.
We also dig into AI agents, data sovereignty and the emerging trend of digital twins. where automation starts acting with your tone, your style and sometimes your credentials.
AI isnโt the enemy, but uncontrolled AI is a threat surface.
If you care about how AI really fits into modern security, beyond the buzzwords, this oneโs worth your attention.
๐๐ป๐ท๐ผ๐๐ฒ๐ฑ ๐๐ต๐ฒ ๐ฒ๐ฝ๐ถ๐๐ผ๐ฑ๐ฒ? ๐ฆ๐๐ฏ๐๐ฐ๐ฟ๐ถ๐ฏ๐ฒ ๐ต๐ฒ๐ฟ๐ฒ
๐ฆ๐๐ฎ๐ ๐ฐ๐ผ๐ป๐ป๐ฒ๐ฐ๐๐ฒ๐ฑ ๐๐ถ๐๐ต ๐๐
Visit the CloudGuard website
Follow CloudGuard on social
๐๐ถ๐ธ๐ฒ๐ฑ ๐ผ๐๐ฟ ๐๐ฝ๐ฒ๐ฎ๐ธ๐ฒ๐ฟ๐?
Follow Javid Khan
Follow Yakub Desai
CHAPTERS
00:00 โ Intro
03:30 โ How people are bringing their personal AI habits into work
06:40 โ Whatโs real innovation vs. pure marketing theatre?
10:30 โ When Consumer AI Meets Corporate Data
15:00 โ Building Secure AI: Guardrails, Models & Mistakes
20:30 โ Fighting AI with AI
25:30 โ The Future: AI Colleagues, Deepfakes & Digital Twins