Machine learning security vulnerabilities are a growing threat to the web, report highlights | Cybersecurity - The Daily Swig

Ben Dickson, Technical writer summarizes, Security industry needs to tackle nascent AI threats before it’s too late.

Attacks against machine learning and AI systems are set to increase over the coming yearsAs machine learning (ML) systems become a staple of everyday life, the security threats they entail will spill over into all kinds of applications we use, according to a new report.

Unlike traditional software, where flaws in design and source code account for most security issues, in AI systems, vulnerabilities can exist in images, audio files, text, and other data used to train and run machine learning models.

This is according to researchers from Adversa, a Tel Aviv-based start-up that focuses on security for artificial intelligence (AI) systems, who outlined their latest findings in their report, The Road to Secure and Trusted AI, this month...

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