LinkedIn built an AI agent that reviews new feature specs to catch security and scam risks before launch. The agent flagged vulnerabilities in the "Open to Work" job-seeker feature that human reviewers missed, including increased exposure to scammers targeting vulnerable users.
Chapters
We ended up building our own Trust agent at LinkedIn. There's a lot of unique vectors which Trust place at LinkedIn doesn't place anywhere else. So we need to bring all of that know how and context and information base into that agent. So when you build a spec, you build an idea, you walk through the trust agent and it'll basically tell you what are your vulnerabilities, what harm vectors potentially you're introducing or will be introduced as a result of that. We've done the things we've done with it, which has been amazing. One of our features for job seekers is called open to work. If you're looking for a job, you can put an open to work and actually it's a great signal, seen some great success from it. But at the same time it introduces a trust vector for bad actors because people who are looking for a job are potentially more vulnerable to scams than other folks. So being able to think about how do we prevent all of those ahead of time. So we walked that spec from a couple of years ago through the chat agent. Not only was it able to find all the stuff we initiated at the beginning, but all the holes that we did not catch until later.