Case studies
How teams use PexLens
PexLens works with early customers and design partners, and their stories will appear here once they are approved for publication. Until then, these example scenarios show the problems PexLens is built to solve and how each product handles them.
Example scenarios
Common problems, and how PexLens solves them
Stopping source code and secrets from reaching public AI tools
A software company with a few hundred engineers who use ChatGPT, Claude, Gemini and AI coding assistants every day.
Explore PexLens TrustGate →- The challenge
- Developers paste code, logs and stack traces containing API keys into AI chats. Security has no visibility, and banning AI would push usage to personal accounts.
- How PexLens helps
- PexLens TrustGate inspects prompts and file uploads on managed devices, redacts secrets and personal data, blocks source code from unapproved AI tools and records usage per application.
- What changes
- AI stays available to every team. Sensitive data stops leaving, and security has evidence of policy enforcement for audits.
Giving contractors safe access to AI and SaaS apps
A financial services firm that relies on contractors working from unmanaged laptops.
Explore the Enterprise AI Browser →- The challenge
- Contractors need AI assistants and internal web apps, but copy, paste, download and screen capture of client data create risk. VDI is slow and expensive.
- How PexLens helps
- Contractors work inside the PexLens Enterprise AI Browser with single sign-on, per-application rules for copy, paste, upload, download and print, and AI data protection built in.
- What changes
- No VDI to run. Client data stays inside a managed browser session, and every session can be audited.
Blocking a malicious package and an unsafe AI model before install
A platform engineering team that pulls npm and PyPI packages, Homebrew formulae and Hugging Face models into developer machines and CI.
Explore PexLens Supplytrust →- The challenge
- A typosquatted package with a malicious install script, and a pickle-based model file that runs code when it loads, both look legitimate at a glance.
- How PexLens helps
- PexLens Supplytrust scores each package version and model before install, flags install scripts and unsafe model formats, and enforces organisation-based policies on developer machines, Homebrew and CI.
- What changes
- Malicious components never land. Developers see a clear reason for each block and can choose a safe alternative.
Governing AI coding assistants and IDE extensions
A product engineering organisation that has adopted several AI coding assistants and dozens of IDE extensions.
Browser and IDE extension security →- The challenge
- Extensions update silently and can gain new permissions or network destinations. AI assistants can read repositories and reach secrets.
- How PexLens helps
- PexLens keeps an inventory of extensions and AI tools across devices, reviews updates for new behaviour, quarantines risky changes and applies AI data policy to assistant traffic.
- What changes
- Security knows which AI tools exist, what they can reach, and can stop a bad update before it spreads.
Example scenarios are illustrative. They describe typical environments and problems, not named customers or measured results.
Share your story
Become one of our first published stories
Design partners get early access to new capabilities and a direct line to the PexLens product and research team. In return, we ask for honest feedback and, when you are ready, a story we can publish together.
- Early access to TrustGate, the Enterprise AI Browser and Supplytrust
- Direct access to the PexLens Research Team
- Influence over the product roadmap
- Commercial terms for early partners
See PexLens on your own environment
A short demo shows how PexLens would handle these scenarios with your AI tools, browsers and package ecosystems.