Most Common AI-Powered Cyberattacks | CrowdStrike
AI has become a key technology in every enterprise IT toolbox — and it has also become a weapon in the arsenals of cybercriminals. AI-powered cyberattacks leverage AI or machine learning (ML) algorithms and techniques to automate, accelerate, or enhance various phases of a cyberattack. This includes identifying vulnerabilities, deploying campaigns along identified attack vectors, advancing attack paths, establishing backdoors within systems, exfiltrating or tampering with data, and interfering with system operations. Like all AI algorithms, the ones used by AI-powered cyberattacks can learn and evolve over time. This means that AI-enabled cyberattacks can adapt to avoid detection or create a pattern of attack that a security system can’t detect. Adversaries weaponize and target AI at scale. AI-powered cyberattacks have five main characteristics: There are multiple types of cyberattacks enables by AI and machine learning. Some include: AI-driven social engineering attacks leverage AI al
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