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AI Agents Are Exposing the Limits of Legacy Infrastructure

Published

30 September 2026

Topic

technology

◆ Sectors

AI AgentsEnterprise SoftwareData Infrastructure

◆ Source

Read at bankinfosecurity.com →

◆ Verified

Fusion42 · 1 October 2026 · Fusion42 review

AI agents reveal the shortcomings of legacy enterprise systems that rely on CRUD architectures, which do not support full history or provenance required for accountability in AI workflows. Experts advocate incremental modernization focusing on event sourcing to enable decision traceability instead of full system rebuilds.

This Wire brief sits within Fusion42's coverage of AI Agents, Enterprise Software and Data Infrastructure.

◆ ◆ The Wire takeaway

You must rethink how your AI workflows store and trace decisions because heritage IT systems won't support trustworthy AI at scale. Start moving towards incremental upgrades that capture full decision history to secure clients relying on AI explanations.

◆ Coverage

1 source · 30 Sep 2026

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◆ Topics

AI AgentsEnterprise SoftwareData Infrastructureai-agentslegacy-systemsevent-sourcingai-accountabilityinfrastructure-modernization