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Abstract

The security of Artificial Intelligence (AI) systems is an ever-evolving field, with state-of-the-art continually evolving at pace as AI is applied to a wider range of sectors and application domains. AI provides opportunities to both adversaries and defenders. It additionally introduces new risks to business processes and data security, and to safety when used in cyberphysical systems such as autonomous vehicles. The exponential adoption and impact of AI across all sectors and technologies is pushing AI further up global regulatory agendas, seeking to gain a handle on the security, safety and ethics challenges associated with AI use. These new challenges must be considered when designing a security strategy for the development or use of AI, ensuring that users can reap the benefits that AI brings whilst managing risk to acceptable levels. Risk management processes and policies must be adapted and updated to ensure that employees are aware of their responsibilities in the face of these newly available and tempting tools, and that the new risks posed by widespread adoption of AI are understood, communicated and appropriately mitigated.