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.

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.

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.