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AI Insights - Tomorrow’s Tech Today (Episode 5 | S1) - Securing Artificial Intelligence: Insights from AI Security Expert Stefan Niedermaier

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Content provided by Reply. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Reply or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.

In this episode of "AI Insights – Tomorrow's Tech Today," Thomas Siebenhüner sits down with Stefan Niedermaier, a Senior Consultant at Like Reply and a leading expert in software development and IT security. The discussion pivots around the intricate relationship between AI and security within the realm of large language models (LLMs). They delve into the main security risks tied to LLM applications, including model inversion attacks, data poisoning, and the subtle nuances of prompt injections. Stefan explains the different layers of security necessary for robust AI applications and shares strategic insights on enhancing the privacy and security of training data. Throughout the conversation, they explore strategies to mitigate these risks and the broader implications for industries relying on generative AI technologies. This episode not only highlights the challenges but also the ongoing advancements in securing AI against emerging threats, making it a must-listen for professionals navigating the complex landscape of AI security.

  continue reading

34 episodes

Artwork
iconShare
 
Manage episode 438183772 series 3553469
Content provided by Reply. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Reply or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.

In this episode of "AI Insights – Tomorrow's Tech Today," Thomas Siebenhüner sits down with Stefan Niedermaier, a Senior Consultant at Like Reply and a leading expert in software development and IT security. The discussion pivots around the intricate relationship between AI and security within the realm of large language models (LLMs). They delve into the main security risks tied to LLM applications, including model inversion attacks, data poisoning, and the subtle nuances of prompt injections. Stefan explains the different layers of security necessary for robust AI applications and shares strategic insights on enhancing the privacy and security of training data. Throughout the conversation, they explore strategies to mitigate these risks and the broader implications for industries relying on generative AI technologies. This episode not only highlights the challenges but also the ongoing advancements in securing AI against emerging threats, making it a must-listen for professionals navigating the complex landscape of AI security.

  continue reading

34 episodes

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