Category: Artificial Intelligence

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 […]

Amazon is sharing new findings about how a threat actor linked to the Democratic People’s Republic of Korea (DPRK) is targeting open source software libraries, the shared building blocks that companies around the world use to develop applications. Amazon Threat Intelligence has linked several recent compromises of popular Node Package Manager (NPM) libraries to the […]

Security Hub is our foundation for full-stack enterprise security across clouds. It centralizes your security operations and turns raw signals into prioritized insights, so your team spends its time managing real risk instead of stitching tools together. Today that foundation grows in two directions our customers asked for most. We are adding purpose-built protection for […]

You can now connect your agents to the AWS MCP Server using the same credentials and sign-in methods that you already use for connecting to the AWS Management Console or AWS Command Line Interface (AWS CLI) through a familiar browser-based experience powered by industry-standard OAuth. This new sign-in path supports AWS Identity and Access Management […]

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 […]

When a security event occurs in your Amazon Web Services (AWS) environment, rapid response is critical. However security teams often struggle with time-consuming, manual processes that slow down investigations. Analysts must recall complex AWS Command Line Interface (AWS CLI) syntax for multiple services, manually correlate findings across Amazon GuardDuty, AWS CloudTrail, and other security tools, […]

Software as a service (SaaS) providers building AI-powered applications on Amazon Bedrock AgentCore often need to serve multiple tenants with distinct security requirements from a shared infrastructure. Some tenants require cross-account access from their own Amazon Web Services (AWS) accounts, while others mandate that traffic stay within a private virtual private cloud (VPC) for regulatory […]

Agents have agency: they adapt and find multiple ways to solve problems. This autonomy creates a fundamental security challenge: the large language model (LLM) at the heart of the agent is non-deterministic, and its decisions can’t be predicted or guaranteed in advance. It can hallucinate harmful actions with complete confidence. It’s vulnerable to prompt injection […]

May 26, 2026: We’ve updated this post to reflect recommended core services. 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 […]