Infographic
6 AI Attacks and How to Protect Against Them
This infographic outlines six common AI-related threats, including data poisoning, model theft, prompt injection, and outcome manipulation, and maps them to the NIST Cybersecurity Framework 2.0. It emphasizes the need for a comprehensive security approach combining traditional cybersecurity practices with AI-specific protections. The visual highlights solutions such as zero-trust architecture, model monitoring, anomaly detection, and robust backup and recovery processes. Overall, it reinforces that securing AI systems requires proactive governance, risk management, and continuous monitoring to protect enterprise data and models.
