Malte Ubl
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🌐 vercel.comSource
Vercel is working to replace long-lived static credentials through expanded OIDC support, OIDC UI tooling, and Marketplace authentication requirements.
🌐 vercel.comSource
Inference theft lets attackers resell your paid AI calls. See how the attack works, why rate limits and auth walls fail, and how Vercel BotID stops it on every request.
🌐 vercel.comSource
AI SDK v7 now comes with a unified API for running agent harnesses like Claude Code and Codex with sandboxed sessions and AI SDK-compatible streams.
🌐 vercel.comSource
Vercel now runs any HTTP server straight from a Dockerfile. Bring a Rails, Django, Spring Boot, or Go app and Vercel builds, deploys, autoscales, and runs it on Fluid compute with Active CPU pricing.
🌐 vercel.comSource
Today we're releasing DeepsecBench, a benchmark that evaluates how well different models find security vulnerabilities in application code.
🌐 vercel.comSource
The @vercel/sandbox SDK now supports multiple Linux users and groups, so you can run agents side by side in a single Sandbox.
🌐 vercel.comSource
deepsec now goes from an unconfigured repo to its first completed security scan with one command, npx deepsec init, including model selection, threat model generation, and scan coverage checks.
🌐 vercel.comSource
Open-weight models that allow perform offensive research present an emerging cybersecurity challenge. But you do not need to wait for specialized models to begin defensive cybersecurity work.
🌐 vercel.comSource
HTTP requests are inexpensive. Vercel charges ~$2/million, a fraction of a cent per call. But a single prompt to an agent on a frontier model can cost $2, making AI a million times more expensive, and inference theft one of the highest-margin businesses an attacker can run. We ha