The RiskTech Journal
The RiskTech Journal is your premier source for insights on cutting-edge risk management technologies. We deliver expert analysis, industry trends, and practical solutions to help professionals stay ahead in an ever-changing risk landscape. Join us to explore the innovations shaping the future of risk management.
What Risk Leaders Need to Know About AI Infrastructure
Risk leaders are sitting in vendor briefings where the presenter uses the words "agentic," "MCP," "orchestration," and "autonomous" in the same sentence, often without defining any of them. Most audiences nod along. A growing number are starting to ask harder questions. The ones who understand the infrastructure layer underneath the marketing claims are getting better answers.
This is not a technology article. It is a procurement and governance article. The AI infrastructure concepts that matter for risk leaders are not technical curiosities. They determine whether a vendor's agentic AI claims are architecturally real or a chat interface with a new label. They determine whether your organization's AI agents will operate within auditable guardrails or outside them. And they determine how exposed your technology investments are as AI reshapes the economics of risk and compliance delivery.
This article tells you what you need to know.
Governance and Management: The Distinction That Determines Risk Effectiveness
Executives often use “governance” and “management” interchangeably, but they are distinct disciplines. Without a clear line between them, policies never translate into behavior.
The difference is structural. Governance defines expectations. Management delivers outcomes.
This is the biggest blind spot in AI. Companies mistake principles and checklists for control. But governance is only the guardrails. It cannot catch model drift or detect bias. That is the job of management.
Governance does not scale by adding more rules. Management does not scale by adding more meetings.
[Read the full article to stop confusing documentation with execution.]
The Real AI Test: How to Tell a Platform from a Chat Overlay
Most vendors now claim to have “AI platforms,” but many are just chat interfaces placed on top of disconnected systems. The difference is more than marketing. Without the right controls, these overlays can leak data, bypass policies, and mislead buyers into thinking they are getting enterprise-grade AI governance when they are not.
AI Insurance Emerges as Chatbot Failures Highlight New Liabilities
In a notable development reflecting AI’s increasing integration into business operations, insurers at Lloyd’s of London have launched specialized coverage for losses caused by artificial intelligence tool failures. This initiative, spearheaded by Armilla, a startup backed by Y Combinator, underscores growing corporate concerns about the unpredictable and costly errors AI-powered tools can generate, particularly chatbots and customer service platforms.