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AI-Agent Governance Is Moving to the Point of Action
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Fusion42 · 12 September 2026 · Fusion42 review
Enterprise AI governance is shifting from post-event auditing to real-time policy enforcement that intervenes before autonomous AI agents execute actions, driven by protocols like MCP and regulatory demands such as the EU AI Act. Security vendors are launching solutions focused on pre-execution control layers including identity, policy enforcement, human approval, runtime enforcement, and audit trails.
This Wire brief sits within Fusion42's coverage of Cybersecurity.
◆ ◆ The Wire takeaway
You now need to stop unsafe AI agent actions before they happen, not just see them after. If you build or run enterprise AI security, this forces you to integrate real-time control or risk regulatory backlashes and operational failures.
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1 source · 12 Sep 2026
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