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AI  is becoming a fundamental part of protecting an organization against malicious threat actors who themselves are using AI technology to increase the frequency and accuracy of attacks and even avoid detection, writes Stuart Lyons, a cybersecurity expert at PA Consulting.

“What is becoming clear is that engineers and business leaders incorrectly assume that ubiquitous AI platforms used to build models, such as Keras and TensorFlow, have robustness factored in. They often don’t, so AI systems must be hardened during system development by injecting adversarial AI attacks as part of model training and integrating secure coding practices specific to these attacks.”

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