Antanox

Structural systems, automated ledger infrastructure, and sovereign AI orchestration. Built with forensic-grade engineering precision.

[Antanox @antanoxOfficial]

Source, UBS Q3 2026 results via Fintechnews Switzerland: https://t.co/fS65vdbudo

[Antanox @antanoxOfficial]

UBS reports 12,700 personal AI agents and 608 AI use cases in production. At that count the agent audit trail is the deliverable.

[Antanox @antanoxOfficial]

The control that scales: four fields per agent. Owner, tool scope, last review, link to its action history. Everything else is a policy document describing work nobody can see.

[Antanox @antanoxOfficial]

Write-up via @InfoQ: https://t.co/kIw35Qj6vy

[Antanox @antanoxOfficial]

Google's PageBreak agent found 500+ XSS bugs since January. The design rule is the story: a verification finding only counts once a validator reproduces the exploit.

[Antanox @antanoxOfficial]

The cost is coverage. Validators will not catch every class and what they miss is invisible. An audit claiming full coverage is the one to distrust.

[Antanox @antanoxOfficial]

Measure the pass rate on your languages, with your guidance, and whether a failing sample blocks the merge. Report via @Veracode: https://t.co/NTcoPfzD5K

[Antanox @antanoxOfficial]

The security pass rate for AI-generated code moved for the first time in a year: 56% to 62%. The language split is the part worth reading.

[Antanox @antanoxOfficial]

Context: 82% of orgs carry security debt older than a year, 60% carry critical debt, median time to fix a flaw is 243 days. A four-point gain in generation does not move that queue.