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COMPANY · ENTITY #197

Amazon Bedrock

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EVENT TIMELINE

83

COMPANIES · 1 SOURCE · AWS Machine Learning

Circle K automates DevOps triage with Amazon Bedrock, cuts mean time to triage to under 15 minutes

Circle K built an automated, agentic triage system on Amazon Bedrock (initially with Bedrock Flows, later migrated to Bedrock AgentCore) that queries logs, services, and internal runbooks and posts structured summaries to Slack; the team reports mean triage time fell to under 15 minutes (a 67–75% reduction by their metrics). The implementation used managed Bedrock features (Agents/AgentCore and Bedrock Knowledge Bases for RAG) to avoid self-hosting models and orchestration code.

6.0

MODELS · 1 SOURCE · The Decoder

Anthropic rolls out watermark to four Claude models, but two older models can be bypassed by changing sampling settings

Anthropic is adding its imperceptible text watermark to Claude Mythos 5, Claude Opus 4.7, Claude Opus 4.6, and Claude Sonnet 4.6; the watermark is embedded at the model level and will appear across hosting platforms (including Amazon Bedrock). On Opus 4.6 and Sonnet 4.6 the watermark only activates when developers leave sampling parameters (temperature, top_p, top_k) at their defaults, so tweaking any one parameter can evade the mark; Anthropic offers a private-preview detection API and cites the EU AI Act deadline as the reason for the rollout.

8.0

MONEY · 1 SOURCE · AWS Machine Learning

Managing Amazon Bedrock costs end to end — an AWS playbook for FinOps and platform teams

AWS published a five-stage playbook for managing Amazon Bedrock costs that targets FinOps and platform engineering teams. The guidance emphasizes invoice-grade attribution via IAM principal data in CUR 2.0, per-request observability, budget enforcement, platform-wide defaults (model routing, caching, token limits), and an operational review cadence to control agentic and high-invocation workloads.

6.0

CODING · 1 SOURCE · AWS Machine Learning

Amazon Bedrock AgentCore runtime adds Session endpoints for live web app previews

Amazon’s Bedrock AgentCore runtime now exposes Session endpoints that give each agent session an authenticated URL which forwards HTTP(S), WebSocket and gRPC traffic to allowed ports inside the session. The capability lets coding agents run a live dev server (the blog shows a Vite example) so developers can interact with and watch changes stream into a browser without full redeploys; the SDK surfaces the URL in an X‑Amzn‑Bedrock‑AgentCore‑Runtime‑Session‑Endpoint‑Url header and requests are authenticated via SigV4 or an inbound JWT.

6.0

COMPANIES · 1 SOURCE · AWS Machine Learning

Worldwide Express automates LTL freight billing exceptions using Amazon Bedrock

Worldwide Express (part of ShipStation Global) built a multi-agent AI system on AWS that integrates with its SpeedShip TMS and uses Amazon Bedrock and EC2 to resolve billing exceptions for LTL freight. Launched to production within six months after engaging AWS in June 2025, the system routes exceptions to three specialized agents (Invoice Matching, Pricing Variance, Accessorial Validation) and delivered a 75% reduction in active exceptions, a four-week improvement in time-to-cash, $1M in annual savings, and a one-time $10M free cash flow infusion.

7.0

COMPANIES · 1 SOURCE · AWS Machine Learning

ChatGPT desktop app configured to use Amazon Bedrock in AWS GovCloud (US)

OpenAI’s ChatGPT desktop app can be configured to route model inference to Amazon Bedrock Mantle in AWS GovCloud (US) (us-gov-west-1), giving access to OpenAI frontier models and the Codex coding agent while using AWS IAM, region controls, and optional zero data retention. The walkthrough covers authentication options (Bedrock API key or AWS SDK credential chain, including AWS SSO), config files, network restrictions, and a controlled local deployment workflow for organizations with strict data‑residency and security requirements.

7.0

COMPANIES · 1 SOURCE · AWS Machine Learning

Epsilon adopts Amazon Nova Act and Bedrock AgentCore Browser for intent-driven UI testing

Epsilon’s Agentic Platform team integrated Amazon Nova Act with the Amazon Bedrock AgentCore Browser tool to deliver intent-driven, natural-language UI testing as a managed, multi-tenant platform service layered on top of their existing Playwright regression suite. The architecture uses AWS-managed ephemeral browser sessions, IAM-based auth, cross-account STS provisioning, and session recording/audit to reduce per-team operational burden while enabling resilient, readable test steps.

5.0

COMPANIES · 1 SOURCE · AWS Machine Learning

MoEngage uses Amazon Bedrock AgentCore Gateway to expose 400 private APIs as agent tools

MoEngage converted roughly 400 internal REST APIs across seven AWS Regions into permission-scoped agent tools using AgentCore Gateway (part of Amazon Bedrock AgentCore). The approach centralized MCP handling under MoEngage’s AI Platform team, avoided any public endpoints, preserved identity injection server-side, and cut estimated platform engineering effort by about six months while reducing API onboarding from days to hours.

6.0

COMPANIES · 1 SOURCE · AWS Machine Learning

Amazon publishes Enterprise Agentic AI Platform blueprint built on Bedrock AgentCore

Amazon published a reference architecture and a companion "Enterprise Agentic AI Platform Blueprint" built on Amazon Bedrock AgentCore that describes a multi-account, governed platform pattern with per-workstream deployments, separate inference and tool gateways, identity and cost controls, and an evaluation pipeline; the blueprint is available as deployable infrastructure-as-code.

7.0

MODELS · 1 SOURCE · AWS Machine Learning

Property Finder fixes evaluation bias and cuts vision-AI costs on Amazon Bedrock via prompt optimization

Property Finder found that 96.8% of its image-quality evaluation labels were inherited from a single incumbent vision model, biasing any alternative models. The team re-annotated a development and evaluation set with domain experts (256 and 356 UAE images), then used iterative/evolutionary prompt optimization on Amazon Bedrock (prompt loop reached v27), achieving higher accuracy while reducing cost by 86% for their vision workload.

6.0

COMPANIES · 1 SOURCE · AWS Machine Learning

Exowatt uses SageMaker serverless customization to fine-tune Qwen3 models for edge and cloud, beating frontier models

Exowatt built a repeatable pipeline on Amazon SageMaker AI serverless model customization to produce task-specific fine-tuned models for edge alarm triage (Qwen3-1.7B) and cloud energy-market analysis (Qwen3-14B). The tuned models outperformed benchmark frontier models on accuracy for these tasks and reached up to 49× lower cost, while enabling a repeatable path from raw operational data to deployable artifacts in days rather than months.

6.0

COMPANIES · 1 SOURCE · Anthropic

Anthropic expands GSA agreement to offer 40% discount on Claude across all government levels

Anthropic announced an expanded agreement with the U.S. General Services Administration that gives federal, state, local, tribal and territorial governments a 40% discount on Claude Enterprise, Claude for Government, and the Claude API, plus a dedicated implementation program. The company says the deal—available via GSA Multiple Award Schedule and usable through Amazon Bedrock and Google Vertex AI—with FedRAMP High authorizations where applicable, is estimated to save government customers $1 billion and follows rapid growth in public-sector usage.

8.0

CODING · 1 SOURCE · AWS Machine Learning

Amazon Bedrock documents prompt-caching patterns for running OpenAI models in agents

An Amazon Bedrock post explains implicit and explicit prompt caching for agent workloads running OpenAI models, showing how to save the model’s prefill (KV) state for reusable prefixes (e.g., tools and instructions) using prompt_cache_breakpoint and prompt_cache_key to cut token costs and latency; it notes caching requires exact identical text and a reusable prefix of at least 1,024 tokens. The post also discusses combining implicit caching (Bedrock-chosen breakpoints) with explicit markers to share starting state across sessions and subagents.

5.0

CODING · 1 SOURCE · AWS Machine Learning

Build agentic retrieval on Managed Amazon Bedrock Knowledge Base with AWS CDK

An AWS post demonstrates a Python AWS CDK application that deploys an agentic retrieval system using Managed Amazon Bedrock Knowledge Bases and AgentCore. The sample routes queries across two knowledge bases, uses the AgenticRetrieveStream API for multi-turn, cited answers, and provisions CloudWatch dashboards and on-demand/continuous evaluation for observability.

7.0

COMPANIES · 1 SOURCE · AWS Machine Learning

Eon uses Amazon Bedrock AgentCore Gateway to centralize multi-cloud MCP access

Eon implemented a centralized authenticated gateway using Amazon Bedrock AgentCore (Gateway, Runtime, Policy, Identity) to replace per-tool credentials and local MCP processes, giving engineers and autonomous agents unified access to investigation tooling across AWS, GCP, and Azure. The change reduced developer onboarding for investigation tooling from about two days to roughly two minutes and lets Eon's autonomous SRE agent (Claude on Bedrock) access the same tools with separate identities and permissions.

6.0

COMPANIES · 1 SOURCE · AWS Machine Learning

Rescale builds automated test-triage agent using Strands Agents and AI-DLC

Rescale used the open-source AI-Driven Development Lifecycle (AI-DLC) and Strands Agents to build an agent that classifies and routes nightly end-to-end test failures. The agent runs in Argo Workflows on Amazon EKS, invokes Claude Opus 4.8 via Amazon Bedrock, queries logs through the Model Context Protocol (MCP), and produced a staged deployment in five days and production deployment within weeks.

6.0

CODING · 1 SOURCE · AWS Machine Learning

AWS open-sources Deep Insight, a production multi-agent system using Amazon Bedrock AgentCore

The AWS Solutions Architecture team published Deep Insight, an open-source, production-grade multi-agent system and a three-part blog series detailing its architecture, Context Engineering practices, and deployment. Deep Insight (GitHub) includes self-hosted, web, and a managed AgentCore deployment that runs agents in isolated per-user environments inside a private VPC with a Code Interpreter on AWS Fargate.

6.0

CODING · 1 SOURCE · AWS Machine Learning

AAIF demo: Strands Agents routes tasks with local llama3.2:1b via Ollama and Amazon Bedrock

The Adaptive Agentic Intelligence Framework (AAIF), implemented with Strands Agents, uses a small local orchestrator model (llama3.2:1b) to classify and route requests to either local SLMs running via Ollama (including llama3.2-vision) or to cloud models on Amazon Bedrock for complex analysis. The post walks through an IoT monitoring reference implementation, tooling, and how the three-layer design (orchestration, local processing, cloud processing) can run on edge devices like a Raspberry Pi or in hybrid/cloud deployments.

5.0

COMPANIES · 1 SOURCE · AWS Machine Learning

Octave Reliance builds secure multi-tenant AI foundation on Amazon Bedrock with Cohere Embed v4

Octave Reliance built a three-layer, multi-tenant AI foundation on Amazon Bedrock using Cohere Embed v4 to enable secure semantic search and reasoning over regulated documents. The design scopes vector stores, retrieval, and agent execution to tenant and user boundaries, embedded roughly 2 billion documents, and delivered a Complaint Triage Assistant in production while cutting per-use-case deployment time by about 50%.

7.0

MODELS · 1 SOURCE · AWS Machine Learning

Amazon Bedrock enables access to OpenAI GPT-5.6/6/6.1 from Canada via cross-Region inference

Amazon now lets Canadian AWS customers call OpenAI GPT-5.6 (Sol/Terra/Luna), GPT-6 (Astra/Sol/Luna) and GPT-6.1 (Sol) through Amazon Bedrock cross-Region inference from Canada (ca-central-1 and ca-west-1). Inference is routed and processed in North America; models support the OpenAI Responses and Chat Completions APIs and the Bedrock Converse API, a 1M-token context window, tool calling, and prompt caching.

6.0

COMPANIES · 1 SOURCE · AWS Machine Learning

AWS Agent Registry enables runtime discovery of MCP servers and agent skills

AWS describes AWS Agent Registry, a managed catalog for registering and semantically searching Model Context Protocol (MCP) servers, agents, and agent skills so orchestrators can discover and instantiate tools at runtime rather than hardcoding endpoints. The post includes a Python reference that wires Amazon Bedrock AgentCore Gateway, AgentCore runtime A2A agents, and an orchestrator that searches the registry, constructs clients from descriptors, and invokes capabilities (authentication must be obtained separately).

6.0

COMPANIES · 1 SOURCE · AWS Machine Learning

AWS and Keyfactor publish X.509 PKI reference architecture for AI agents

AWS and Keyfactor released a joint reference architecture showing how to use Keyfactor EJBCA with AWS services (including Amazon Bedrock and the AWS Strands Agents SDK) to provide cryptographic X.509 identities for AI agents. The design uses signed request envelopes, user-signed delegation assertions, RFC 8693 audience-scoped tokens, and real-time OCSP revocation; example source code is available on GitHub.

7.0

COMPANIES · 1 SOURCE · AWS Machine Learning

AtScale C2026.7 walkthrough: build a semantic layer for Amazon Bedrock AgentCore agents

A technical walkthrough demonstrates using AtScale (C2026.7) as a dimensional semantic layer (modeled in SML) for agentic workflows on Amazon Bedrock AgentCore. The post shows a Strands agent running on AgentCore (with Anthropic Claude Sonnet 4.6 for the demo), how AtScale exposes a single model over SQL/XMLA/MCP, identity and RBAC propagation through AgentCore to AtScale, query pushdown to Amazon Redshift Serverless, and deployment on Amazon EKS.

5.0

MODELS · 1 SOURCE · AWS Machine Learning

Amazon Bedrock adds structured outputs for Anthropic Claude models

Amazon Bedrock now supports structured outputs (schema-compliant JSON) for all Anthropic Claude models on both the bedrock-runtime and bedrock-mantle endpoints, using constrained decoding so generated tokens conform to a provided JSON Schema. The feature includes grammar compilation and 24-hour caching of compiled grammars, works with batch and streaming inference and cross-Region runtime, and aims to eliminate parsing errors and post-processing for production integrations.

7.0

MODELS · 1 SOURCE · AWS Machine Learning

TwelveLabs' Pegasus 1.5 is now available on Amazon Bedrock

TwelveLabs has made Pegasus 1.5 — a video language model that converts long-form video into structured, timestamped JSON metadata — available on Amazon Bedrock. New features include full-video segmentation, multimodal prompting with reference images, on-the-fly processing with no pre-indexing, and extended single-request analysis up to two hours; calls are made via the bedrock-runtime InvokeModel or InvokeModelWithResponseStream APIs and can process video from an S3 URI or a base64 string while keeping data within the AWS boundary.

6.0

STARTUPS · 1 SOURCE · AWS Machine Learning

Tamnoon builds Tami, an agentic cloud-remediation system on Amazon Bedrock

Tamnoon describes how it built Tami, an AI-powered, agentic cloud remediation orchestrator running on Amazon Bedrock and AWS serverless components that ingests CNAPP/CSPM findings, investigates context with LLM‑based validation, scores safety, and generates guarded fixes. Tamnoon reports the approach cut critical cloud exposure by over 90% in 90 days without production incidents and integrates with AWS, Azure, Google Cloud, and existing CNAPP tools.

6.0

COMPANIES · 1 SOURCE · Anthropic

Anthropic opens Singapore office and signs MOU with Singapore Ministry of Digital Development and Information

Anthropic opened a new Singapore office (its fifth in the Asia–Pacific) and signed a Memorandum of Understanding with the Singapore Ministry of Digital Development and Information at Singapore International Cyber Week. The MOU outlines cooperation on AI safety, security, model evaluation, research on AI adoption, technical exchanges, skills-building, and responsible public- and private-sector deployment; Anthropic also highlighted local usage of Claude by organizations such as GovTech Singapore, Grab, DBS, GIC and Sea/Shopee and plans to share research including its Economic Index.

7.0

COMPANIES · 1 SOURCE · AWS Machine Learning

Anchor Browser integrates with Amazon Bedrock AgentCore payments to handle x402 machine-to-machine payments

Anchor Browser now integrates with Amazon Bedrock AgentCore payments so AI agents can autonomously respond to HTTP 402 Payment Required challenges using the x402 protocol. The integration, developed with the AWS Generative AI Innovation Center Partner Agent Factory and available on AWS Marketplace, manages wallets, spending limits, and CloudWatch observability so agent workflows continue without manual intervention.

6.0

COMPANIES · 1 SOURCE · AWS Machine Learning

Amazon Bedrock managed entitlements: script and CDK to activate AWS Marketplace private pricing

AWS published guidance and sample code to simplify activating AWS Marketplace Private Pricing Offers (MPPOs) for Amazon Bedrock across multiple accounts. It provides two implementation paths: a lightweight one-off script that lists received licenses and can create/activate organization-wide grants, and an event-driven AWS CDK stack that listens for Marketplace agreement events, verifies sellers, creates distributed grants, and requests activation automatically.

6.0

COMPANIES · 1 SOURCE · AWS Machine Learning

Orca Security builds 'Discovery AI' natural-language Sonar query agent on Amazon Bedrock

Orca Security developed Discovery AI, a multi-stage natural-language query agent that translates plain-English questions into valid Sonar queries and runs on Amazon Bedrock. Using a RAG + schema-aware pipeline and model routing via Bedrock, Orca reports reducing query costs by 90%, input tokens by 93%, and latency by 75% versus their initial baseline.

6.0