Council Post: AI Models Under Attack: Protecting Your Business From AI Cyberthreats

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Adapting new protocols is critical to building a resilient defense against attacks on AI models.

. The core of AI is composed of algorithms. These algorithms compose code libraries that are built by multiple AI developers who develop the AI models. The MLOps teams are responsible for ensuring ML models are scalable and deployed in a securely reliable way. If any of the developers or testers get social engineered or their credentials are stolen, the ML code can get infected or exposed.

that was originally designed to detect a certain type of weapon does not detect it, eventually resulting in a severe security catastrophe.of businesses have suffered an attack on their AI models in the past 12 months. There are protocols organizations can adopt to mitigate the risk of cyberattacks on AI systems including:By injecting normal as well as adversarial samples into the training set , AI can be taught to identify malicious prompts, abuse and brute force attempts.

 

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