Category: Best Practices

This post shows you how to configure an AI model to perform structured, evidence-based vulnerability triage with the consistency of a seasoned security analyst. You’ll learn the design decisions behind five configuration sections that enforce structural verification, evidence-based scoring, and infrastructure-aware prioritization across every analysis session. Our companion post—Building your AI vulnerability harness—covered the architecture; […]

Vulnerability scanners produce findings faster than manual triage can process them. Your developers ship more code with more dependencies, and the volume of candidate findings grows with it. Many findings a scanner produces are unlikely to be exploited. The ones that matter need to reach an engineer fast, with enough evidence that they can act […]

The principle of least privilege is straightforward to articulate but challenging to maintain at scale. When teams first deploy applications to AWS, they often grant broader permissions than strictly necessary; it’s faster to get things working, and the plan is always to tighten permissions later. But later rarely comes. Permissions accumulate, AWS Identity and Access […]

In Part 1 of this guide, we examined two common incident scenarios: cross-account Amazon Simple Storage Service (Amazon S3) data deletion with ransomware implications, and cryptocurrency mining deployed through AWS CloudFormation using exposed AWS Management Console credentials. We also introduced key incident response terminology and investigative frameworks for analyzing AWS CloudTrail events. In this second […]

AWS CloudTrail logs contain the evidence you need when investigating suspicious activity in your AWS environment, but knowing which fields matter and how to interpret them can mean the difference between surface-level analysis and uncovering the full scope of an incident. This guide walks you through real-world scenarios, showing you how to analyze CloudTrail events […]

A single alert from one security service tells you something happened. Read that signal alongside activity from other services and your own business context, and you will know whether what happened is part of a multi-stage attack. Consider a short sequence. An identity calls GetCallerIdentity from a source address it hasn’t previously used. Within minutes, […]

Ten years ago, we launched AWS Directory Service for Microsoft Active Directory, a fully managed Microsoft Active Directory in the AWS Cloud. In that original announcement, Jeff Barr described a straightforward promise: “You will spend less time administering and more time working on your applications and your business.” A decade later, AWS Managed Microsoft AD […]

AI coding agents are part of the developer toolchain. Tools like Kiro and Claude Code generate features, tests, and code refactors from natural-language prompts. A single agent can open dozens of pull requests (PRs) across your repositories in an afternoon. That productivity comes with a trade-off: agents optimize for task completion at machine speed with […]

Choosing the right cryptographic key management service on Amazon Web Services (AWS) starts with understanding the difference between AWS Key Management Service (AWS KMS) and AWS CloudHSM. Both provide key storage backed by a hardware security module (HSM) but serve very different needs. AWS KMS is a fully managed service that integrates with all AWS […]

If you’re building multi-agent AI systems, you need to prevent authorization scope from silently expanding as agents delegate tasks through multi-hop chains. Without proper controls, an agent can potentially act beyond what the originating user authorized, even when role-based access control (RBAC) policies are in place. The OWASP Top 10 for Agentic Applications classifies this […]