Category: Advanced (300)

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 […]

When an administrator introduces a rule change in AWS Network Firewall and network connectivity is disrupted, pinpointing the cause requires inspecting multiple points in the traffic path. The firewall gives you stateless and stateful rule engines, domain rules, and routing to the firewall endpoint inside your Amazon Virtual Private Cloud (Amazon VPC). A network drop […]

System prompts form the foundation of generative AI applications. A system prompt is a collection of instructions and operational context provided to a large language model (LLM) that shapes how the model behaves and interacts with users and tools. System prompts often contain proprietary information, including role definitions, behavioral guidelines, tool descriptions and usage instructions, […]

With the introduction of models that require data sharing with third-party providers—such as Claude Fable 5—organizations need a way to centrally enforce data retention policies. Amazon Bedrock gives you control over whether your prompts and model outputs are retained after an inference request completes. You might need a way to enforce your retention settings across […]

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 […]

Today, you can use AWS Network Firewall to protect traffic flowing to and from containerized applications on Amazon Elastic Kubernetes Service (Amazon EKS) and Amazon Elastic Container Service (Amazon ECS) clusters. If you run AI and machine learning (ML) workloads on Amazon EKS—such as model inference, RAG pipelines, or JupyterHub—your containerized workloads require the same […]

If you manage secrets across multiple AWS accounts or need faster secret access for latency-sensitive applications, this post shows you how to meet those requirements using two new features of the AWS Workload Credentials Provider (provider). You will learn how to configure role chaining for cross-account secret retrieval and prefetching of secrets to reduce cold-start […]

When securing an Amazon Web Services (AWS) environment, teams naturally prioritize inbound controls, firewalls, WAFs, and access policies, because that’s where the most visible threats originate. Outbound traffic, on the other hand, tends to get less attention. It’s often left open by default to avoid breaking application dependencies and because the risk feels less immediate. […]

You can use Amazon Cognito user pools to add sign-up and sign-in functionality to your web and mobile applications. You can authenticate users directly with Amazon Cognito managed accounts using passwords, passwordless flows, or custom authentication flows, or let users federate in through external identity providers (IdP) using SAML, OpenID Connect, or social providers such […]

As you scale your use of Amazon Web Services (AWS), managing KMS keys becomes increasingly important. Whether you manage a handful of keys or thousands across multiple AWS accounts and AWS Regions, there’s often a need to audit key usage to help you meet compliance requirements, evaluate your risk posture, and optimize key management costs. […]