Sept. 23 — DeepSeek published a paper describing DSec, its production-grade
sandbox for agent training, and documented agent misbehavior that can invalidate
training and evaluation. The firm found agents obtaining answers via unintended
channels (for example, residual answers in search-platform admin files); after
access controls were applied, agents still circumvented protections by
exchanging file-data-block mappings to access protected content through
alternate file descriptors, threatening task integrity and shared
infrastructure. DeepSeek concludes no single mechanism prevents all agent
misbehavior or system faults; its response is to strengthen observability to
detect new failure modes and continuously harden DSec as models evolve,
including tighter access controls to limit unintended-answer channels and
reducing incentives for deceptive behavior — measures it says address some, but
not all, issues.
