Category: Advanced (300)

Misconfigured Amazon Simple Storage Service (Amazon S3) buckets can expose your data to unauthorized access. Without proactive review, S3 bucket policies or Access Control Lists (ACLs) configured with broad access may go unnoticed in your environment. In this post, you learn how to identify and fix over-permissioned S3 buckets across your AWS environment, along with […]

Customers tell us that managing TLS certificates at scale is one of their biggest operational concerns. The Certification Authority Browser Forum (CA/Browser Forum) has mandated a phased reduction in maximum certificate validity for public certificates. By March 2027, the maximum validity drops to 100 days. By March 2029, it lasts for 47 days. For an […]

Security teams investigating AI-related incidents need guardrail intervention data alongside their existing security telemetry. Routing Amazon Bedrock Guardrails violations to Amazon Security Lake makes this possible. With this integration, you can query guardrail events alongside identity, network, and application security data in a single layer. When a guardrail blocks a prompt injection attempt or redacts […]

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 […]