The sheer volume of new regulations is increasing at an unprecedented rate, creating a density of obligations that manual processes cannot withstand. For compliance officers, the pressure is relentless: 64% of banking respondents in a recent risk survey cited "managing evolving regulatory change" as a high-priority concern, and 61% see reduced regulatory burdens as somewhat or very unlikely. 

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.

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

Regulators increasingly view customer vulnerability as a firm-wide responsibility, not just a frontline issue. That means systems, controls, and oversight must be designed to anticipate and mitigate harm before it occurs.

The reliability of financial advice is facing greater scrutiny, and manual compliance is not fit for purpose. AI represents an opportunity.

For years, firms have struggled to maintain a comprehensive view of their market abuse risks. There's now a ready-made solution.

GenAI is entering the enterprise world. But there’s a catch: Firms need a way of determining which is data safe for which GenAI application.

Expert contributors helped map the opportunities, risks and imminence of 400+ Generative AI applications, finding 7 impactful opportunities:

The mapping of ESG data & ratings opportunities shows 5 impactful Generative AI capabilities, of which 2 are already implemented / imminent.