CategoryGovernance
1 in 4 AI agents run unmonitored, giving way to operational risk
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A New Relic report finds that 25% of AI agents operate without monitoring, creating blind spots in organisational systems and escalating operational risk. The finding exposes a governance gap: rapid AI deployment is outpacing internal control infrastructure. Many organisations lack visibility into how their AI systems behave in production – what they process, how they decide, what they cost. This isn't a technical problem alone. It's a compliance and risk management failure. Boards and audit functions should be asking whether their AI governance framework includes mandatory observability checkpoints before deployment. The lack of monitoring also creates secondary risks: algorithmic drift, unintended bias propagation, and regulatory exposure if an AI system makes decisions that cannot be traced or explained. Observability tools address the symptom, not the cause – which is organisational processes that treat AI as infrastructure rather than as decision-making systems requiring oversight. The real question isn't whether to buy monitoring software. It's whether governance structures exist to enforce it. Until observability becomes mandatory rather than optional, organisations are running critical systems blind.