AWS News Blog
Category: Launch
AWS Audit Manager extends generative AI best practices framework to Amazon SageMaker
Gain comprehensive visibility with the AWS Audit Manager generative AI best practices framework v2, which now includes Amazon SageMaker.
Simplify AWS CloudTrail log analysis with natural language query generation in CloudTrail Lake (preview)
Streamline compliance and security analysis using natural language query generation. Ask questions like “What errors occurred last month?” and get ready-to-run SQL queries tailored to your needs – no technical expertise required.
Introducing Amazon GuardDuty Malware Protection for Amazon S3
Amazon GuardDuty expands malware scanning to secure S3 uploads, enabling continuous monitoring and isolation of malicious files without infrastructure overhead.
IAM Access Analyzer Update: Extending custom policy checks & guided revocation
New custom policy checks for critical resources, public access detection, and guided revocation to remove unused permissions – proactively securing AWS environments with tailored analysis and actionable insights.
AWS adds passkey multi-factor authentication (MFA) for root and IAM users
Fortify your AWS account security with new passkey MFA and mandatory root user MFA. Experience seamless authentication while bolstering protection against unauthorized access.
Simplify risk and compliance assessments with the new common control library in AWS Audit Manager
Map enterprise controls to AWS data sources effortlessly with predefined, pre-mapped controls based on auditor reviews. Automatically inherit improvements as Audit Manager updates.
Simplify custom contact center insights with Amazon Connect analytics data lake
Amazon Connect’s analytics data lake centralizes customer data for powerful performance analysis without complex pipelines.
AWS analytics services streamline user access to data, permissions setting, and auditing
Streamline data access with trusted identity propagation: simplify sign-in, define fine-grained permissions, and audit using actual user identities across selected AWS analytics services.