Tag: AWS Security Blog

Defending LLM applications against Unicode character smuggling

When interacting with AI applications, even seemingly innocent elements—such as Unicode characters—can have significant implications for security and data integrity. At Amazon Web Services (AWS), we continuously evaluate and address emerging threats across aspects of AI systems. In this blog…

How to develop an AWS Security Hub POC

The enhanced AWS Security Hub (currently in public preview) prioritizes your critical security issues and helps you respond at scale to protect your environment. It detects critical issues by correlating and enriching signals into actionable insights, enabling streamlined response. You…

Optimize security operations with AWS Security Incident Response

Security threats demand swift action, which is why AWS Security Incident Response delivers AWS-native protection that can immediately strengthen your security posture. This comprehensive solution combines automated triage and evaluation logic with your security perimeter metadata to identify critical issues,…

Authorizing access to data with RAG implementations

Organizations are increasingly using large language models (LLMs) to provide new types of customer interactions through generative AI-powered chatbots, virtual assistants, and intelligent search capabilities. To enhance these interactions, organizations are using Retrieval-Augmented Generation (RAG) to incorporate proprietary data, industry-specific…

Amazon disrupts watering hole campaign by Russia’s APT29

Amazon’s threat intelligence team has identified and disrupted a watering hole campaign conducted by APT29 (also known as Midnight Blizzard), a threat actor associated with Russia’s Foreign Intelligence Service (SVR). Our investigation uncovered an opportunistic watering hole campaign using compromised…