video1.0<iframe src="https://www.loom.com/embed/db15276f52a34da1960218a76ecf40d5" frameborder="0" width="1658" height="1243" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe>12431658Loomhttps://www.loom.com12431658https://cdn.loom.com/sessions/thumbnails/db15276f52a34da1960218a76ecf40d5-fce9107d23762b16.gif104.491In this video, I discuss the critical need for safety evaluations in AI deployments, as many companies are currently operating without a systematic check for vulnerabilities. I introduce SafetyGuard, our automated AI safety evaluation platform, which analyzes code bases and provides comprehensive reports on risk, security, cost, and performance within minutes. I showcase how it works using a GitHub repo URL, highlighting its ability to pinpoint issues in the code and suggest fixes. With this intelligence, we can confidently deploy AI applications while ensuring their security. I encourage you to consider how SafetyGuard can enhance your AI safety protocols.