Amazon Web Services (AWS) has launched Guardrails, a new feature to help safeguard language models (LLMs) on Amazon Bedrock. This aims to provide intelligent threat detection and protect container workloads, including serverless workloads on AWS Fargate, with OS-level runtime visibility and machine learning. The new feature is designed to strengthen security and implement safeguards for foundational models and agents on Amazon Bedrock, as reported by TechCrunch and AWS.
AWS launches Guardrails in preview to help companies implement safeguards for LLMs, available for foundational models and agents on Amazon Bedrock (@ron_miller / TechCrunch) https://t.co/BDuCUrZ60r 📫 Subscribe: https://t.co/OyWeKSRpIM https://t.co/iuQ5N9rqSL
AWS adds Guardrails for Amazon Bedrock to help safeguard LLMs https://t.co/YBbsB7ORsq by @ron_miller
AWS adds Guardrails for Amazon Bedrock to help safeguard LLMs: https://t.co/7LtJOXgWd4 by TechCrunch #infosec #cybersecurity #technology #news
"🚨 New blog post alert! 🚨 AWS just added Guardrails for Amazon Bedrock to keep those LLMs in check. Who needs uncontrollable language models? Definitely not us 😏 Check out the latest from @TechCrunch to learn more: https://t.co/RfkB6IZGbD #AWS #LanguageModels #ControlThePower"
AWS adds Guardrails for Amazon Bedrock to help safeguard LLMs https://t.co/N8zUvTK00y by @ron_miller
Arm your workloads with intelligent threat detection. ☁️🔒💻 Amazon GuardDuty ECS Runtime Monitoring protects container workloads—including #Serverless workloads on #AWS Fargate—with OS-level runtime visibility & #ML. It's #Security—strengthened. 👉 https://t.co/VN3cC3vLHg https://t.co/m6frBdjCLq