Hardening
Continuous hardening for AI agents: less improvisation, more control
Agents work better when they operate with clear boundaries, valid context, and consistent workflows.
Hardening is not just security. In SoluCortex it also means reducing ambiguity so the agent can act with fewer surprises and better traceability.
That means clear context at the start, memory rules at the end, and a public interface that does not force improvisation. The result is less operational noise and less rework.
When hardening is done properly, the system becomes more predictable for the team and easier to scale with new agents.
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