Artificial Intelligence (AI) has revolutionized numerous domains, transforming the way we live and work. Its algorithms and models have proven their mettle by outperforming traditional methods in various applications, from natural language processing to self-driving cars. However, as AI permeates our lives, it introduces new security risks that can have
catastrophic consequences. To harness AI’s potential, while safeguarding against vulnerabilities, regular audits, adversarial testing, and transparent
model development are essential. Snowflake's AI Security Framework lists out potential threats with examples, along with their impact and proposed mitigations, to help organizations better secure their AI systems.
