AWS Security Blog
Tag: artificial intelligence
AWS Security Agent full repository code scanning feature now available in preview
Today, we’re excited to announce the preview release of full repository code review, a new capability in AWS Security Agent that performs deep, context-aware security analysis of your entire code base. AI-driven cybersecurity capabilities are advancing rapidly. AWS Security Agent can now find vulnerabilities and build working exploits across your entire code base at a […]
Enabling AI sovereignty on AWS
Cloud and AI are transforming industries and societies at unprecedented speed, from accelerating research and enhancing customer experiences to optimizing business processes and enriching public services. At Amazon Web Services (AWS), we believe that for the cloud and AI to reach their full potential, customers need control over their data and choices for how and […]
Five ways to use Kiro and Amazon Q to strengthen your security posture
A Monday morning security alert flags unauthorized access attempts, security group misconfigurations, and AWS Identity and Access Management (IAM) policy violations. Your team needs answers fast. Security teams are using Kiro and Amazon Q Developer to handle repetitive tasks—scanning resources, drafting policies, and researching Common Vulnerabilities and Exposures (CVEs)—so engineers can focus on risk decisions […]
Security posture improvement in the AI era
It’s only been a few weeks since Anthropic announced the Claude Mythos Preview model and launched Project Glasswing with AWS and other leading organizations. This has generated a lot of discussion about the future of cybersecurity and what the ever-increasing capabilities of foundation models mean to organizations. As AWS CISO Amy Herzog pointed out in […]
Building AI defenses at scale: Before the threats emerge
At AWS, we’ve spent decades developing processes and tools that enable us to defend millions of customers simultaneously, wherever they operate around the world. AI has been an extremely helpful addition to the automation our security and threat intelligence teams do every day, and we’re still early in this journey. Our AI-powered log analysis system […]
AI security strategies from Amazon and the CIA: Insights from AWS Summit Washington, DC
At this year’s AWS Summit in Washington, DC, I had the privilege of moderating a fireside chat with Steve Schmidt, Amazon’s Chief Security Officer, and Lakshmi Raman, the CIA’s Chief Artificial Intelligence Officer. Our discussion explored how AI is transforming cybersecurity, threat response, and innovation across the public and private sectors. The conversation highlighted several […]
Many voices, one community: Three themes from RSA Conference 2025
RSA Conference (RSAC) 2025 drew 730 speakers, 650 exhibitors, and 44,000 attendees from across the globe to the Moscone Center in San Francisco, California from April 28 through May 1. The keynote lineup was eclectic, with 37 presentations featuring speakers ranging from NBA Hall of Famer Earvin “Magic” Johnson to public and private-sector luminaries such as former […]
AI lifecycle risk management: ISO/IEC 42001:2023 for AI governance
As AI becomes central to business operations, so does the need for responsible AI governance. But how can you make sure that your AI systems are ethical, resilient, and aligned with compliance standards? ISO/IEC 42001, the international management system standard for AI, offers a framework to help organizations implement AI governance across the lifecycle. In […]
Use an Amazon Bedrock powered chatbot with Amazon Security Lake to help investigate incidents
In part 2 of this series, we showed you how to use Amazon SageMaker Studio notebooks with natural language input to assist with threat hunting. This is done by using SageMaker Studio to automatically generate and run SQL queries on Amazon Athena with Amazon Bedrock and Amazon Security Lake. The Security Lake service team and […]
Announcing AWS Security Reference Architecture Code Examples for Generative AI
Amazon Web Services (AWS) is pleased to announce the release of new Security Reference Architecture (SRA) code examples for securing generative AI workloads. The examples include two comprehensive capabilities focusing on secure model inference and RAG implementations, covering a wide range of security best practices using AWS generative AI services. These new code examples are […]









