Your SOC gets a Defender for Cloud alert: “Suspicious API call from AI workload pod.” You click through and find a LIST secrets call against the Kubernetes API server from a pod running your invoice-processing agent on AKS. The pod’s Workload Identity has Contributor access to your key vault. By the time your analyst opens the AKS Security Dashboard, the pod has been rescheduled.

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You’ve enabled GuardDuty EKS Runtime Monitoring across your clusters. You’ve configured IRSA for your Bedrock-calling agents. CloudTrail is logging every bedrock:InvokeModel event. And last Tuesday, one of your AI agents exfiltrated 12,000 customer records through a sequence of API calls that every one of those tools recorded as completely normal—because at the control plane level, they were.

The LiteLLM supply chain compromise of March 24, 2026, is not an isolated incident. It is the latest and perhaps most dangerous chapter in an evolving attacker playbook that JFrog Security Research has been tracking for years. The target has shifted from developers to the AI agents that developers now rely on to build software.

Artificial intelligence is moving rapidly from experimentation into everyday use across financial services. From client servicing and research to operations and risk analysis, AI is increasingly embedded in core workflows. This shift is widely recognised within the industry. Recent research indicates that 67% of financial services organisations report rapid AI adoption, with 93% ranking AI as a top security priority heading into 2026. At the same time, governance structures are being established.

Mobile Device Management, commonly known as MDM, is how organizations manage, secure, and monitor mobile devices that access corporate data and applications. It helps IT teams keep smartphones, tablets, and laptops safe while allowing employees to work productively.