ShadowLock is a shadow AI detection and governance platform that gives MSPs and IT teams real-time visibility and control over how employees use AI tools, before sensitive data leaves the endpoint. It covers the blind spots managed-device controls miss: browser extensions, desktop AI apps, local LLMs like Ollama, and personal accounts. A browser extension intercepts and classifies risky pastes to AI sites, a Windows agent blocks desktop AI apps and deploys silently via your existing RMM, and a multi-tenant dashboard lets you audit or block each control with audit-ready reports. Built for MSPs to govern AI across every client from one place, and private by design with no keystroke logging and zero content transmission.

CodeHerald provides a new way to keep track of your code review queue, grouped by your next action needed.

When would you use CodeHerald?

• You work in a team that does code reviews.
• Your team receives ad-hoc code review requests via multiple channels: DMs, emails, bookmarks of filtered lists.
• Your team sometimes loses track of small pull requests, delaying them days.
• Your team find ad-hoc code review requests distracting, but cannot put a finger on why.
• Your team tried different strategies to improve code review process, and none of them felt right.

If any of the above is true, CodeHerald will help you.

What can CodeHerald do for you?

CodeHerald groups pull requests by next action: must review, needs an update, can be merged. It allows you to replace slack, emails, filters, and browser bookmarks with one single page that you can open at a glance and decide which PR to tackle next.