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Defensive Techniques Applying zero trust to ML infrastructure: training pipeline access controls, model registry security, inference endpoint hardening, and secrets management for AI deployments.
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Incident Reports An NHS trust confirmed adversarial perturbations applied to medical images caused systematic misclassification by its AI diagnostic system, resulting in incorrect preliminary diagnoses.
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Incident Reports A UK insurer's AI chatbot, due to an IDOR vulnerability and excessive tool permissions, allowed authenticated users to retrieve policy data for unrelated customers. 80,000 records exposed.
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Incident Reports Post-mortem of a multi-stage intrusion using LLM-generated spear phishing, AI-assisted credential stuffing, and automated recon to compromise a mid-market wealth management firm.
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News Brief NIST AI RMF 2.0 significantly expands guidance on adversarial ML threats, model supply chain security, and AI-specific incident response. Key changes for security teams.