Introducing Tripwire: AI Safety for the Everyday Employee

August 1, 2025

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Earl

introducing tripwire -- a woman in a blue suit jacket

Let’s face it—AI at work is already here.
Employees are using tools like ChatGPT, Claude, and Midjourney to brainstorm, summarize, draft, and build. But while the promise of productivity is real, so is the risk—especially when no one’s watching.

At most companies, AI use happens in the shadows. People skip policies, make judgment calls, and hope for the best. Not out of malice, but out of urgency.

This is the silent risk.
It’s not just about data leaks or hallucinated facts. It’s about legal liability, regulatory blind spots, and decisions made without audit trails.

That’s why we built Tripwire.


What is Tripwire?

Introducing Tripwire — a browser-based compliance tool that quietly runs in the background while employees work with AI. It flags potential risks in real-time—like when sensitive data is pasted into an LLM. Think of it as spellcheck for AI safety and compliance.

No screen recording. No productivity monitoring.
Just smart nudges when it matters most.


Why Now?

Because policies alone aren’t working.
Most AI governance frameworks are either:

  • Too vague to change behavior, or
  • Too rigid to be practical.

Employees need guidance in the moment, not a PDF they read once during onboarding.

Tripwire bridges the gap between policy and practice—turning compliance from an afterthought into a habit.


Who is it for?

Tripwire is designed for:

  • Legal and Compliance teams who want peace of mind
  • IT and Security leaders who don’t want more surveillance tools
  • HR and Ethics officers building a culture of responsible AI use

And most importantly—employees who just want to do their jobs without accidentally breaking the rules.


What’s Next?

We’re opening up early access soon.

In the meantime, you can:

  • Apply for early access and get our exclusive whitepaper
  • Or just follow along as we explore how to make AI use at work safer, smarter, and more human

Let’s make AI at work responsible by design—not just reactive after the fact.

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