Cyber risk analytics firm CyberCube has introduced a new framework to evaluate potential losses arising from the increasing use of artificial intelligence (AI) systems. The framework aims to help insurers, businesses and risk professionals better understand emerging AI-related exposures and Read More …
Tag: Technology risk
CyberCube Creates AI Loss Framework
Deutsche Bank Modernises Core Banking
Deutsche Bank’s Private Bank has selected Vault Core, a cloud-native core banking platform developed by Thought Machine, as part of a major technology transformation programme. The initiative aims to simplify the bank’s fragmented technology infrastructure and strengthen its operational resilience. 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 …
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 …
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 …
Commonwealth Bank of Australia Upgrades Third-Party Risk Management Framework
Commonwealth Bank of Australia (CBA) has strengthened its third-party risk management capabilities as financial institutions face increasing challenges from technology dependencies, outsourcing arrangements and interconnected digital ecosystems. The upgrade reflects the growing importance of managing risks arising from external vendors, Read More …
Artificial Intelligence and Data Will Redefine Risk Management in the Coming Years
Artificial intelligence (AI) and data-driven technologies are expected to significantly reshape the future of risk management by improving risk identification, analysis and decision-making capabilities across industries. The growing availability of data and advancements in AI are enabling organisations to move Read More …
AI Mistakes Identified as a Major New Professional Indemnity Risk for Businesses
The growing adoption of artificial intelligence (AI) across business operations is creating a new category of professional indemnity (PI) risks, as organisations face potential liabilities arising from inaccurate AI outputs, automated decisions and failures in AI governance. Businesses are increasingly Read More …