Category: Artificial Intelligence

TL;DR for busy executives The AWS AI Security Framework helps security leaders move fast and stay secure with AI. Security compounds from day 1 as workloads evolve from prototype to production to scale. Assess first. Request a no-cost SHIP engagement to baseline your posture and build a prioritized roadmap. Phase 1 – Foundational (zero to […]

The financial services industry (FSI) is using AI to transform how financial institutions serve their customers. AI solutions can help proactively manage portfolios, automatically refinance mortgages when rates decrease, and negotiate insurance premiums for customers. However, this adoption brings new governance, risk, and compliance (GRC) considerations that organizations need to address. To help FSI customers […]

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 […]

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 […]

We have released our latest compliance guide, ISO/IEC 42001:2023 on AWS, which provides practical guidance for organizations designing and operating an Artificial Intelligence Management System (AIMS) using AWS services. As organizations deploy AI and generative AI workloads in the cloud, aligning with globally recognized standards such as ISO/IEC 42001:2023 becomes an important step toward strengthening […]

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 […]

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 […]

Generative AI brings promising innovation, transforming how individuals and organizations approach everything from customer service to content creation and more. As AI continues to expand its capabilities, organizations are increasingly focused on how they can integrate the responsible AI concepts into the development lifecycle of their AI applications. Research from Accenture and Amazon Web Services […]

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 […]

If you’ve ever spent hours manually digging through AWS CloudTrail logs, checking AWS Identity and Access Management (IAM) permissions, and piecing together the timeline of a security event, you understand the time investment required for incident investigation. Today, we’re excited to announce the addition of AI-powered investigation capabilities to AWS Security Incident Response that automate […]