AI Adoption in Supplier Risk and Sustainability Reaches 37%, but Integration Challenges Remain

Artificial intelligence (AI) adoption in supplier risk management and sustainability functions is increasing, but widespread integration across organisations remains limited, according to industry findings from an Achilles survey. The survey highlights that while businesses are recognising the potential of AI Read More …

AI Model Risk Cannot Be Judged Only by Country of Origin

The country where an artificial intelligence (AI) model is developed provides limited insight into its actual risk profile, according to analysis highlighting the need for stronger AI governance, transparency and model evaluation frameworks. As organisations increasingly adopt AI systems, assessing Read More …

India’s Digital Success Story Needs Stronger Risk Infrastructure

India’s digital transformation has created one of the world’s largest technology-driven financial ecosystems, but sustaining this progress requires a stronger risk management infrastructure to address emerging challenges related to cybersecurity, data protection, operational resilience and technology governance. The rapid expansion Read More …

Banks Need Shared Vigilance as Frontier AI Reshapes Banking Resilience

The growing adoption of frontier artificial intelligence (AI) in financial services requires stronger collaboration, governance and collective vigilance among banks, regulators and technology providers, according to industry leaders. The increasing use of advanced AI systems is transforming banking operations while Read More …

Data Becomes a Strategic Competitive Advantage

The banking industry is entering a new phase where data is emerging as one of the most valuable strategic assets. As artificial intelligence (AI) adoption expands across financial services, banks that can effectively collect, manage and analyse data will gain Read More …

Banking Industry in AI Era: Data Becomes a Strategic Competitive Advantage

The banking industry is entering a new phase of digital transformation where data is becoming one of the most important competitive assets. As banks increasingly adopt artificial intelligence (AI), the ability to collect, manage, analyse and use data effectively is Read More …

FinRegE Urges Banks to Fix Data Quality Before Investing Further in RegTech

Financial institutions should prioritise improving data quality and data governance before investing heavily in additional regulatory technology (RegTech) solutions, according to industry experts. The recommendation highlights a growing challenge in financial services: advanced compliance technologies can only deliver effective outcomes Read More …

Central Banks Face Emerging Systemic Risks from Artificial Intelligence

Central banks worldwide are increasingly focusing on the potential systemic risks created by the rapid adoption of artificial intelligence (AI) across financial markets and institutions. While AI offers significant opportunities to improve efficiency, risk analysis and financial services, its widespread Read More …

AI-Powered Customs Risk Management Strengthens Trade Compliance

Artificial intelligence (AI) is increasingly being adopted in customs and trade risk management to improve compliance monitoring, identify potential violations and enhance efficiency in cross-border trade operations. The use of AI in customs processes reflects the broader shift towards data-driven Read More …

SimuPhish Introduces AI-Powered Cyber Risk Assessments to Address Human Risk

SimuPhish has introduced an experiential, artificial intelligence (AI)-powered approach to cyber risk assessments aimed at addressing one of the most challenging areas in cybersecurity: human behaviour risk. The solution focuses on helping organisations evaluate employee vulnerability to cyber threats through Read More …