MITRE ATLAS Framework Securing AI Systems with MITRE ATLAS Zia Babar · Follow 8 min read · 1 hour ago 1.0 Introduction AI systems have become prime targets for adversaries as they increasingly underpin decision-making across critical sectors. Attackers exploit the complex dependencies of AI on data and algorithms through methods such as adversarial inputs that mislead models, poisoning attacks that corrupt training data, and model extraction techniques that compromise intellectual property. These vulnerabilities can have severe consequences, from operational disruptions to significant safety risks. Traditional security frameworks focus on endpoints and software vulnerabilities but fail to address AI-specific threats such as data poisoning or membership inference attacks. The MITRE ATLAS framework provides a structured approach to understanding and mitigating these unique vulnerabilities. With its taxonomy of adversarial tactics […]
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