Anthropic's Claude Mythos found more than 10,000 high and critical zero-days in its first month, and it did the finding autonomously.
The model runs an agentic harness with minimal human steering, locates the flaws in open and closed source, and in many cases writes the working proof-of-concept exploit itself.
Access sits inside Project Glasswing, a closed consortium of AWS, Apple, Google, Microsoft, Nvidia, JPMorgan, and around forty other critical-software operators.
Anthropic puts the public arrival at weeks away and expects comparable capability to reach other labs, including ones without a consortium, within twelve to eighteen months.
For a digital asset firm the consequence is a patch window that keeps shrinking while the same automated discovery lands eventually on the adversary side.
The exposure that matters is the unpatched RPC node, the bridge relayer, the custody signing host, and the CI runner that never made the asset inventory.
DLTA maps the intelligence-to-control loop for that surface, at the maturity level the client is actually at, before autonomous discovery becomes symmetrical.
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