AI Governance Skills

AI governance skills are the capabilities needed to design, implement, and oversee artificial intelligence systems in ways that meet legal, ethical, and business standards. These skills span technical understanding of how AI systems work, knowledge of relevant regulations like the EU Artificial Intelligence Act, and ability to assess risks such as bias, transparency, and accountability across an organization. Building these skills within your compliance and risk teams helps you make faster governance decisions, ask the right technical questions when working with your AI teams, and demonstrate to regulators and boards that AI deployment is managed responsibly.

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ResearchGlobal2026-10-02

PwC: AI Attacks Top Threat List, But Only 22% Back Autonomous Cyber Defense

PwC's 2027 Global Digital Trust Insights report is based on nearly 4,000 leaders across 70-plus countries. It finds that attacks targeting AI systems rank as the threat enterprises feel least prepared to handle. Only 22% of respondents would deploy fully autonomous AI agents for cyber defense without human oversight, with governance skill gaps cited as a barrier. A parallel readiness failure appears in quantum-resistant security, where just 21% of organizations have begun adopting protections against future decryption attacks.

PwC enterprise readiness agentic AI post-quantum cryptography AI governance skills human oversight cyber defense