Definition
The AI Security Threat Landscape refers to the evolving set of risks and vulnerabilities associated with the development, deployment, and use of artificial intelligence systems. It encompasses threats ranging from adversarial attacks designed to manipulate AI models to data privacy breaches and the potential for AI to be used in malicious cyber activities. Understanding this landscape is crucial for organizations to proactively identify and mitigate potential harms before they manifest. For instance, a financial institution must consider how AI models used for fraud detection could be tricked by sophisticated attackers. This differs from general cybersecurity threats by focusing specifically on the unique attack vectors and weaknesses inherent in AI technologies. Knowledge of the AI Security Threat Landscape is increasingly relevant for certifications like CompTIA Security+ and AWS Certified Security Specialty.