Title:
GenAI Security Challenges and Solutions in Medical Devices
Description:
Investment in Artificial Intelligence (AI) and machine learning (ML) is skyrocketing, with the global AI market valued at $196.63 billion in 2023 and projected to grow at a CAGR of 36.6% from 2024 to 2030. The U.S. leads with $62.5 billion in private investment, followed by China and the EU. AI's impact spans industries, with the manufacturing sector expected to gain $3.78 trillion by 2035. Significant growth is also anticipated in AI applications like self-driving vehicles and AI-driven customer service.
Healthcare AI/ML systems are particularly vulnerable, with Healthcare ransomware attacks costing, on average, $11 million per incident and posing. Healthcare ransomware attacks cost, on average, $11 million per incident and pose risks to patient safety.
This session will outline these problems and proposes mitigations, including robust security measures, continuous monitoring, strong data validation practices, and GenAI-driven auto-remediation solutions to ensure the reliability and integrity of AI/ML systems. Addressing these risks is crucial for leveraging AI's full potential while protecting against threats and safety concerns.
Type:
Master Class Conference