AI Security & Governance Training [Video]

Artificial intelligence (AI) is becoming a driving force in today’s technology landscape. Its application has spanned across numerous sectors. Its rapid expansion brings unique challenges and considerations that demand specific expertise to ensure its effective, safe, and secure implementation and ongoing responsible management. With the uptick in the adoption of AI, specific AI security risks are escalating, necessitating the need for advanced security measures. Notwithstanding the technical flaws in training an AI, it can make errors and present incorrect statements as facts, which is a flaw referred to as ‘AI hallucination’.

Examples of AI Security risks include prompt injection attacks, which are a major weakness in language model systems. It happens when attackers make the model behave unexpectedly by giving it certain inputs. This could lead to generating offensive content, revealing confidential information, or causing unintended issues in systems that don’t check inputs properly. Data poisoning attacks occur when attackers …