Bryan Catanzaro
@ctnzr
VP, Applied Deep Learning Research @ NVIDIA
Joined February 2011
496 Following 27.3K Followers
Open models are more secure.
The asymmetry problem
When we started the log analysis, we first used "frontier" models behind commercial APIs. This did **not work**: the analysis requires submitting large volumes of real attack commands, exploit payloads, and C2 artifacts, and these requests were **blocked by the providers' safety guardrails**, which cannot distinguish an incident responder from an attacker.
We ran the forensic analysis instead on GLM 5.2, an open-weight model, on our own infrastructure. This had a second benefit: no attacker data, and **none of the credentials it referenced, left our environment**.
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