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🚀 See how a Global Financial Services company uses HiddenLayer’s Red Teaming Assessment to secure their AI A financial services company partnered with HiddenLayer to conduct a red team evaluation of their machine learning models used for fraud detection. The goal was to uncover weaknesses that could lead to significant financial losses if exploited. Objectives of AI Red Teaming: Identify Vulnerable Features: Find features in the models that attackers could manipulate. Create Adversarial Examples: Develop examples that change fraudulent classifications to legitimate ones. Improve Model Classification: Enhance the accuracy of fraud detection. With a list of identified exploits, our client can now focus on mitigating these vulnerabilities, leading to a stronger security posture without affecting customer experience. Read more 👉 https://lnkd.in/g-uijm54 Interested in learning more about AI Red Teaming? Join our webinar, A Guide to AI Red Teaming, on July 17th 👇 https://lnkd.in/g8EZWYjX  #AI #GenAI #LLM #SecurityforAI #cybersecurity #AISecurity #RiskManagement #AIRedTeaming

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