Saturday, 21 February

Saturday, 21 February2026

Building Trust and Autonomy in Agentic AI: Vital Lessons From the Mainframe Era

Building Trust and Autonomy in Agentic AI: Vital Lessons From the Mainframe Era
As Agentic AI begins to handle autonomous decision-making, industry experts are drawing critical parallels to the reliability and security of legacy mainframe systems. Building trust in these autonomous agents requires robust governance, transparent audit trails, and "human-in-the-loop" safeguards. By applying the rigorous stability standards of past computing eras to modern AI, organizations can ensure that agentic workflows remain secure.

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