AI systems are evaluated inside sandboxes, and the results are only worth the seal on the box. The industry checks the model. Mardenic checks the cage.
Direction · 2026 · 09 · 21
Mardenic builds the ground, and proves it holds
A report from an unverified sandbox is a confident number with nothing under it.
AI systems are increasingly given the ability to act — to run code, open sockets, read files and drive tools. The safety and capability claims made about those systems are produced inside sandboxes, and then reported as if the sandbox were a given.
It is not a given. A sandbox specified correctly and deployed incorrectly produces results that look identical to correct ones. A subject that quietly reached the host during an evaluation invalidates every number in the report, and nothing in an ordinary evaluation pipeline would notice.
Mardenic exists to close that gap: to build the environments these claims depend on, and to verify at run time that they hold.
The boundary
This is a statement of direction, not a capability result. No external system has been tested and no engagement has been performed.