Risk

David Honour looks at the hidden issues of relying on AI in risk assessment – and how to build guardrails that maintain the advantages but without the distortions that AI use can bring.

Artificial intelligence, as we know it, has a problem. Most large language models produce different answers to the same question, even under apparently identical conditions.

Aon’s 19th annual  Global Risk Management Survey has found that many organizations are ‘rethinking resilience for a new era of risk’.

Fundamentally, there are four types of open source risk: licence conflicts, unpatched vulnerabilities, origin issues, and obsolete or unmaintained code. Many organizations don’t realise just how pervasive open source is within the software used throughout the enterprise.

Mohammad Ismail says that businesses must stop regarding API security as simply a matter of discovery.

A new survey of nearly 900 Chief Internal Auditors across the UK and Europe has found that threats to cybersecurity and data security have been ranked the top risk facing organizations in 2026.

A new report from Sentinel Labs highlights how generative AI – and in particular large language models (LLMs) – are poised to reshape cyber attackers’ tradecraft.

To thrive in today’s rapidly evolving risk environment, risk, audit, and compliance leaders must develop ‘reflexive risk ownership’, says Gartner.

A new report reveals that only 11% of senior finance leaders view their organization’s risk management process as ‘mostly’ or ‘extensively’ a strategic tool that delivers competitive advantage.

Sean Lyons explores value destruction, a neglected area in value dynamics, and looks at how AI is changing the threat.