MITRE ATLAS

Reconnaissance: Mapping AI Targets | Techniques and Defenses in Adversarial ML

MITRE ATLAS /

Understanding how adversaries map AI targets is crucial for building secure machine learning systems. Reconnaissance, the initial phase in most adversarial strategies, involves gathering information to identify vulnerabilities in AI/ML systems. Attackers use various methods, such as analyzing publicly available data, victim-owned websites, and application repositories, as well as performing active scanning to create a […]

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Futuristic cyber warrior guarding a glowing AI core in a high-tech control room, surrounded by holographic neural networks and glowing blue and neon purple light.

AI Hacking, Adversarial ML and MITRE ATLAS Framework Introduction

MITRE ATLAS /

Artificial intelligence (AI) systems are transforming industries, driving innovation, and redefining how we interact with technology. Yet, with these advancements come significant risks—many of which target the very machine learning (ML) models that power these systems. Adversarial machine learning, a growing field of AI security, exposes these vulnerabilities and demonstrates how malicious actors can manipulate

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