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A lot of AI security boils down to the boring, but important, software security topics that appsec teams have been dealing with for decades. Niv Braun explains the distinctions between AI-related and AI-specific security as we avoid the FUD and hype of genAI to figure out where appsec teams can invest their time. He notes that data scientists have been working with ML and sensitive data sets for a long time, and it's good to have more scrutiny on what controls should be present to protect that data.
This segment is sponsored by Noma Security. Visit https://securityweekly.com/noma to learn more about them!
Show Notes: https://securityweekly.com/asw-315
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A lot of AI security boils down to the boring, but important, software security topics that appsec teams have been dealing with for decades. Niv Braun explains the distinctions between AI-related and AI-specific security as we avoid the FUD and hype of genAI to figure out where appsec teams can invest their time. He notes that data scientists have been working with ML and sensitive data sets for a long time, and it's good to have more scrutiny on what controls should be present to protect that data.
This segment is sponsored by Noma Security. Visit https://securityweekly.com/noma to learn more about them!
Show Notes: https://securityweekly.com/asw-315
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