Generative AI Security in the Automotive Domain
Автор: ETAS
Загружено: 2026-01-13
Просмотров: 45
Описание:
In this episode, host Zane Pelletier speaks with Ivan Granero from Bosch about the use and security of generative AI (GenAI) in the automotive domain. The conversation covers the transition from traditional machine learning to probabilistic GenAI models and takes a deep dive into the security challenges of large language models (LLMs) in a safety-critical environment. Zane and Ivan also talk about common threats, such as "jailbreaking" and injection attacks, and explore defense mechanisms like implementing "guardrails" and the "spotlighting method" to protect system prompts.
If you are an automotive software developer, cybersecurity professional or AI engineer working int he connected vehicle space - this episode is a must listen!
To view the tool Zane and Ivan mentioned in their discussion, click here (https://github.com/IvanGranero/pktAna...) .
Tell us what you think - send us a text message! (https://www.buzzsprout.com/twilio/tex...)
Thanks for listening!
• Email us at: [email protected]
• Learn more about ETAS on our website (https://www.etas.com/en/)
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