Season 6 opens with a clear message for Technology Risk Management leaders: autonomy is no longer constrained by model capability, it is constrained by infrastructure discipline and auditable management controls.

In S6E1, Ori Wellington and Sam Jones translate NVIDIA’s CES 2026 signals into a practical blueprint for Autonomous IRM, defined as continuous, AI-enabled verification and response loops that operate within explicit policy boundaries and generate audit-grade evidence by design. As inference costs fall, “always-on” control validation becomes economically viable at enterprise scale. That shift forces a new operating model: humans stop chasing evidence and start adjudicating pre-enriched exceptions with decision provenance, context, and rollback paths already assembled.

The episode also surfaces the non-negotiables executives must plan for now:

• Agent runtime as infrastructure: a durable, logged, testable, reversible execution layer
• Agent control plane: standardized identity, permissions, tool access, evaluation, logging, and rollback to prevent agent sprawl
• Hybrid autonomy: centralized policy with localized execution for latency, sovereignty, and resilience
• Long-context assurance: end-to-end traceability that raises retention, privacy, and legal-hold stakes
• Simulation-based validation: replayable resilience testing and scenario libraries that become first-class assurance artifacts

The call to action is explicit: treat inference economics as a design variable, standardize management controls before scaling, and operationalize simulation as assurance.

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Visit www.therisktechjournal.com and www.rtj-bridge.com to learn more about the topics discussed in today's episode.