Andrew Feldman(@andrewdfeldman):Interesting look under the hood of @AlphaSenseInc's SuperAnalyst. Lots of thoughtful engineering in how they give agents the tools to do useful research while keeping access tightly controlled. And when speed matters, they route requests to open-weight models on Cerebras. Worth a read if you’re building agents:

2026.10.30 19:30

Interesting look under the hood of @AlphaSenseInc's SuperAnalyst. Lots of thoughtful engineering in how they give agents the tools to do useful research while keeping access tightly controlled. And when speed matters, they route requests to open-weight models on Cerebras. Worth a read if you’re building agents:

AlphaSense@AlphaSenseInc

2026.10.30 15:35

When an AI agent escapes the sandbox, the first question should be: who left the door open? For firms in regulated industries, giving agents broad access to data and tools has meant weighing what they can do against what they might reach. SuperAnalyst runs every session in its own isolated MicroVM, with scoped credentials, a sealed network, and identity checks at each step, so one failed control never becomes a breach. Lawrence Sica, VP of Product Security, and @chaschwartzz, Staff Software Engineer, walk through each layer of SuperAnalyst’s sandboxing architecture and how they work together to keep agent workloads contained. Read the full article: