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Introducing Amazon GuardDuty AI Protection for AWS AI workloads

Amazon GuardDuty now offers AI Protection, expanding threat detection to AWS AI services including Amazon Bedrock and Amazon SageMaker. As organizations rapidly adopt AI, security teams may lack visibility into threats specifically targeting AI workloads, such as anomalous model invocations, cost harvesting attacks, and prompt injection attempts. GuardDuty AI Protection continuously monitors these workloads so security teams can detect and respond to AI-specific threats without manual configuration or custom tooling.
GuardDuty AI Protection analyzes both CloudTrail management and data events from AWS AI services to identify suspicious activity, including unusual invocation patterns, cost harvesting attacks where threat actors force AI resources to consume excessive GPU time and tokens, and prompt injection attempts through integration with Amazon Bedrock Guardrails. Threat findings flow directly into AWS Security Hub, giving teams a single view of AI assets and threats for prioritized response. GuardDuty AI Protection can be enabled with a few steps in the GuardDuty or Security Hub console, and using AWS Organizations, can be centrally enabled for all accounts in an organization.
GuardDuty AI Protection is available to GuardDuty customers with a 30-day free trial. For pricing details, visit the Amazon GuardDuty pricing page. To learn more, see the Amazon GuardDuty User Guide and the Amazon GuardDuty product page. For the full list of supported Regions, see the AWS Regional Services List.
Quelle: aws.amazon.com

Amazon DocumentDB (with MongoDB compatibility) adds support for 46 new MongoDB operators in version 8.0.1

Amazon DocumentDB (with MongoDB compatibility) now supports 46 additional MongoDB aggregation operators and cursor methods starting from minor version 8.0.1. This release significantly expands query API compatibility, making it easier to migrate MongoDB workloads to Amazon DocumentDB without application code changes.
New capabilities span seven categories:

Accumulators (13): $top, $topN, $bottom, $bottomN, $firstN, $lastN, $maxN, $minN, $count, $median, $percentile, $stdDevPop, $stdDevSamp

Trigonometry (15): $sin, $cos, $tan, $asin, $acos, $atan, $atan2, $sinh, $cosh, $tanh, $asinh, $acosh, $atanh, $degreesToRadians, $radiansToDegrees 

Bitwise aggregation (4): $bitAnd, $bitOr, $bitXor, $bitNot

Arithmetic (3): $round, $trunc, $sigmoid

Data size and type (4): $binarySize, $bsonSize, $isNumber, $toUUID

Timestamp (2): $tsIncrement, $tsSecond 

Stages and other (5): $sortByCount, $listSearchIndexes, $sampleRate, cursor.min(), cursor.max()

These operators are available starting from Amazon DocumentDB 8.0.1 in all regions where Amazon DocumentDB is available. To learn more, see Supported MongoDB APIs, operations, and data types and Amazon DocumentDB release notes.
Quelle: aws.amazon.com

Amazon Managed Service for Prometheus is now available in Asia Pacific (New Zealand) Region

Amazon Managed Service for Prometheus is now available in Asia Pacific (New Zealand) Region. Amazon Managed Service for Prometheus is a fully managed, Prometheus-compatible monitoring service that makes it easy to monitor and alert on operational metrics at scale.    Amazon Managed Service for Prometheus is available in multiple AWS Regions. Customers can send up to 1 billion active metric series to a single workspace and can create many workspaces per account, where a workspace is a logical space dedicated to the storage and querying of Prometheus metrics.
To learn about Amazon Managed Service for Prometheus pricing, visit the pricing page.
Quelle: aws.amazon.com

OpenAI GPT-5.6 Sol, Terra, and Luna now generally available on Amazon Bedrock

GPT-5.6 Sol, Terra, and Luna are now generally available on Amazon Bedrock, bringing the smartest family of models from OpenAI yet to Bedrock’s next-generation inference engine built for high-performance, security and reliability. GPT-5.6 sets a new standard for intelligence and efficiency, allowing you to solve harder problems in less time and with more intelligence per token. The three models span capability tiers from flagship reasoning (Sol) to balanced performance (Terra) to fast, cost-efficient inference (Luna), all accessible through the Responses API on Amazon Bedrock. 
With GPT-5.6, you can build autonomous coding agents, run long-horizon genomics and biology analyses, and perform advanced cybersecurity research. Sol delivers state-of-the-art results on agentic coding benchmarks, Terra provides GPT-5.5-level performance at half the cost, and Luna brings fast, affordable inference at the lowest price point. GPT-5.6 also supports prompt caching with explicit cache breakpoints, so repeated context across agentic workflows is billed at a 90% discount and doesn’t compound cost as you scale. Pricing matches OpenAI first-party rates and usage counts toward your AWS commitments. 
GPT-5.6 Sol is available in the following AWS Regions: US East (N. Virginia) and US East (Ohio). GPT-5.6 Terra and Luna are available in US East (N. Virginia), US East (Ohio), and US West (Oregon). Get started with Sol, Terra, and Luna using the Amazon Bedrock Console or the Responses API on the bedrock-mantle endpoint. To learn more, see the Amazon Bedrock documentation and read the launch blog post.
Quelle: aws.amazon.com