[~] products
Three modules that cover the AI security lifecycle. All are in early development. Design partners shape what ships first.
in redact 2 secrets ctx strip 1 injected instruction out deny send_email() — out of scope log decision 7f3a written
A policy layer between your application and any LLM. It inspects prompts, retrieved content, tool calls, and responses before they reach users or systems.
endpoint · fin-laptop-07 policy ─────────────────────────────────────────── chrome chat.ai-tool coach coding-agent llm api redact ×2 desktop-ai personal acct block python3 llm api (new) block ide-copilot company tenant allow
Visibility and control over every way AI is used at work: a browser extension for AI chat tools, plus a lightweight agent on managed endpoints that sees any process talking to an LLM, from desktop AI apps and coding agents to CLI harnesses and local scripts.
$ redteam run --target staging --suite owasp PASS llm01/direct-basic 24/24 FAIL llm01/indirect-email-html 21/24 PASS llm07/prompt-extraction 16/16 WARN llm06/tool-abuse 11/12 ────────────────────────────────── score 94.7% Δ +3.1 vs v1.8
Adversarial testing for LLM apps and agents, for authorised use in controlled environments. Repeatable attack suites, mapped to OWASP, run on every release.
[~] coverage map
Planned coverage, based on the OWASP Top 10 for LLM Applications 2025.
> design_partner.apply()
We work with security and platform teams who run LLM features in production.