Artificial intelligence and machine learning create exciting new opportunities for organizations to improve operational efficiency, make faster and more accurate decisions, and deliver innovative products and services.
As AI adoption rates continue to rise, however, so does the rate of attacks on AI systems. Companies developing and training new AI models or implementing third-party tools and services face numerous AI security challenges. These attacks can target models at any stage of AI development, training, and operation, so companies must approach AI security with a multi-layered strategy.
Implementing a strong AI privacy and security strategy allows organizations to safely use more data in training and inference, resulting in more accurate models and improved business outcomes. This AI security whitepaper offers guidance for Chief Information Officers (CIOs), Chief Information Security Officers (CISOs), Chief Data and Analytics Officers (CDAOs), and other stakeholders on how to build and use artificial intelligence technologies safely.