Insights

AI governance, accountability and assurance for agentic AI systems.

Practical AI validation testing for compliance and reporting agents in financial services.

AI in banking: ECB, industry insights and validation frameworks explained.

A practical validation framework for managing risk in Generative and Agentic AI systems

Expert data migration strategies for asset managers using AI and operational best practice.

Ireland’s 2026 M&A and financing outlook with 2025 deal trends and sector insights.

AI best practices for asset and wealth managers.

Discover how banks can balance AI innovation with regulation through governance, risk management, and explainable, accountable models.

Ensure EU AI Act compliance with expert support. Learn about data readiness, scoping, gap assessments, remediation, and tailored AI compliance solutions.

Explore how the 2008 financial crash influenced AI regulation, emphasising governance, risk management, and the importance of transparency and education in AI systems.

The threat of a cyber-attack has never been greater and despite the best efforts of businesses and organisations to mitigate risk, many remain exposed as cybercriminals rapidly adapt to new technologies. This includes exploiting weakness in artificial intelligence (AI) technology at a much faster pace than industries are keeping up.

The use of artificial intelligence continues to spread at a staggering speed. Companies worldwide have adopted and implemented AI, in solutions that are reshaping industries through improved efficiency, productivity and decision-making. However, many organisations have integrated AI into their business processes more quickly than they have updated security strategies and protocols. Your risk, technology and cybersecurity leaders must find, understand and mitigate these exposures.