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Generative AI is reshaping business models and risk profiles, creating opportunities for efficiency and competitiveness while heightening exposure to cybersecurity threats, fraud, model risk, and data governance failures. The Institute of Internal Auditors notes a “palpable” urgency among audit leaders to understand, govern, and adopt AI, even as regulatory clarity, controls, and internal capabilities lag.

As digital transformation accelerates, the systems that drive performance also amplify exposure. Organisations today depend on an expanding network of interconnected IT assets, cloud services, and AI applications. The scale of digital dependency is growing faster than most risk frameworks can keep up.

Parker & Lawrence is proud to announce the release of its latest primary research report: Generative AI in Risk and Compliance 2025. The report explores GenAI's dual role in risk and compliance, as both a tool and a threat, revealing how effective risk management has become the key to unlocking AI value.

In 2024, ASIC reviewed 624 AI use cases across 23 financial institutions and found alarming gaps in governance, fairness, and oversight. As AI becomes integral to business, the need for robust governance frameworks is clear. This blog, in collaboration with Zertia, explores how to operationalise AI governance—covering policy, roles, model inventory, risk management, and third-party oversight for responsible AI in 2025.

Physical risk across mining, infrastructure and heavy industry is escalating rapidly, ​​putting multiple stakeholders in jeopardy. For instance, Global landslides now cost $20 billion annually. In the U.S. alone, 2023 brought 28 separate billion-dollar weather disasters, totalling $93 billion in damages. Mining is 30–40% less digitally mature than comparable sectors like automotive, limiting its ability to modernise risk management. This blog introduces a new technology p

AI is everywhere, but governance is lagging. While 96% of large enterprises already use AI and nearly all plan to boost AI investment in 2025, only 5% have implemented formal AI governance frameworks. At the same time, 82% of executives say governance is a top priority, recognising it as essential for managing risk, maintaining trust, and complying with fast-evolving regulations. We explain the crucial role of AI governance in 2025, including the key principles dominating gu