Gartner Security & Risk Management Summit 2023 National Harbor: Day 3 Highlights

"There are already plenty of AI models that have been operationalized and can be compromised and attacked. A 2021 Gartner survey found that 73% of organizations already had hundreds or thousands of AI models deployed."

"Compromises and attacks span all stages of the AI life cycle, including data poisoning; privacy concerns; model outcome manipulation; and model or data misuse, compromise or theft."

"There are two common misperceptions about AI security threats: Most AI attacks only happen by outsiders, so we don't have to look inside; and most AI attacks are complicated, so let's not sweat the small stuff."

"CISOs and AI teams perceive risk coming from AI differently. AI teams think AI risk is more likely to materialize and are more concerned about AI risk overall. It's not every day that someone is more concerned about information risk than the security team."

"AI TRiSM helps ensure governance, trustworthiness, fairness, reliability, privacy, security and compliance of AI solutions, turning unmanaged risks into managed risks."

"By 2026, organizations that operationalize AI transparency, trust and security will see their AI models achieve a 50% result improvement in terms of adoption, business goals and user acceptance."

Learn more about AI TRiSM in the Gartner Q&A "Why Trust and Security are Essential for the Future of Generative AI."