Category: Announcements

Deploy AI agents with confidence using new quality evaluations and policy controls—enabling precise boundaries on agent actions, continuous quality monitoring, and experience-based learning while maintaining natural conversation flows.

New pricing model helps maintain cost efficiency while providing flexibility with database services and deployment options.

Scale vector storage and querying to new heights with S3 Vectors’ general availability—now supporting up to 1 billion vectors per index, 100ms query latencies, and expanded regional availability, while reducing costs up to 90% compared to specialized databases.

New service acts as an always-on DevOps engineer, helping you respond to incidents, identify root causes, and prevent future issues through systematic analysis of incidents and operational patterns.

Simplify AI experimentation with zero-infrastructure MLflow that launches in minutes, scales automatically, and seamlessly integrates with SageMaker’s model customization and pipeline capabilities.

New fast, cost-effective model supports extended thinking with adjustable reasoning depth, letting you control the balance between speed, intelligence, and cost while building AI applications for everyday workloads.

Scale your AppSec expertise with AI-powered design reviews, code analysis, and contextual penetration testing that understand your unique security requirements and application architecture.

Today, AWS Security Hub is generally available, transforming how security teams identify and respond to critical security risks across their AWS environments. These new capabilities were first announced in preview at AWS re:Inforce 2025. Security Hub prioritizes your critical security issues and unifies your security operations to help you respond at scale by correlating and […]