Resources

We started Geordie to build the governance layer for AI agents. By managing posture, observing behaviour, and providing contextual controls with audit-ready evidence, we make AI agent adoption safe, transparent, and enterprise-ready.

APIs, MCPs, and A2A form the foundation of AI Agent systems, yet their roles are often fragmented. This article explains how they connect, align, and collaborate, giving leaders the clarity to evaluate, govern, and scale AI adoption with confidence.

AI adoption is accelerating, but not every investment is safe. Risk mapping gives security and business leaders visibility to evaluate AI tools, weigh business impact against exposure, and make confident, accountable decisions that balance innovation with resilience.

Endpoint controls like EDR and XDR remain critical to enterprise defense, but they weren’t built for AI Agents. As these systems operate beyond traditional endpoints, leaders need new approaches to gain visibility, reduce risk, and extend security with confidence.

AI Agents can’t be black boxes. Leaders need clear visibility into how they operate to manage risk, meet compliance, and enable safe innovation across the enterprise.

Building AI Agents promises speed and scale, but developers know the pitfalls. Explore their insights on risks, friction points, and the steps leaders can take to enable safe, resilient adoption.

AI Agents aren’t just software. They make decisions that can reshape your business. Left unchecked, that power creates new forms of risk. This guide helps executives cut through the hype and focus on visibility, governance, and accountability.