SI Studio builds tools where security meets AI: kernel-level eBPF observability for AI agents, reverse engineering for IoT firmware, and AI tools that help researchers read papers, understand code, and find sources faster.
From the OS kernel to the network gateway, from firmware binaries to academic papers: understand what is actually happening in the age of AI.
See exactly what AI coding assistants read, connect to, and execute on your machine.
From home gateway traffic to device firmware, surface the risks hidden inside your devices.
Read papers, analyze code, and search sources, with AI saving researchers time.
See clearly, intercept decisively, audit completely: every action Claude Code takes on your machine
eBPF-powered visibility into what your OS and AI agents are actually doing
Every wingbeat in your hive, visible: eBPF-based home gateway traffic analysis
IoT Firmware Deep Analysis: audit every firmware image before it is compromised
Read research papers as easily as text in your native language
AI that understands entire repositories and generates architecture docs and diagrams
A clean, elegant research search engine with multi-platform aggregation and AI summaries
Security tools have to earn trust first. These principles run through every product we make.
Data lives in local SQLite, and GeoIP and CVE databases work offline, with no third-party cloud dependency.
eBPF observes what actually happens at the kernel level, instead of relying on what applications report about themselves.
Low-level syscalls and network packets become clear, understandable descriptions of behavior.
Core tools are open source on GitHub. Security tools should be auditable themselves.
Go and eBPF at the core for performance, Python and Vue on top for fast iteration, and swappable LLM backends.
Try the tools, open an issue, contribute code, or get in touch about collaboration.