# govcloud Published articles for govcloud. This is one page of public article previews, not the complete archive. Follow Next page to continue. Summaries are not the original full articles. ## ICYMI: What landed for AI builders in August 2026 DevFeed: [ICYMI: What landed for AI builders in August 2026]() Original publisher: [Read original article]() Author: Tanvi Girinath Published: 2026-09-09T20:01:03Z Content type: news Language: en Sources: [Artificial Intelligence]() Topics: [Amazon Bedrock](), [Inference](), [Caching](), [SDKs](), [Deployment]() Tags: [agents](), [ai](), [amazon-bedrock](), [amazon-bedrock-agentcore](), [announcements](), [caching](), [deployment](), [govcloud](), [inference](), [intermediate-200](), [latency](), [open](), [robots](), [updates]() ### AI overview A recap of August 2026 Amazon Bedrock, AgentCore, and Strands updates for AI builders, including expanded context windows, inference, long-running agents, GovCloud availability, and robot deployment. ### Source excerpt A recap of August 2026 launches for AI builders across Amazon Bedrock, Amazon Bedrock AgentCore, and Strands: million-token context for OpenAI models, cross-Region inference, agents that run for up to 14 days on dedicated compute, expanded AWS GovCloud availability, and Strands Robots for physical deployment. ## Introducing public preview runtimes on AWS Lambda, starting with Node.js 26 and Python 3.15 DevFeed: [Introducing public preview runtimes on AWS Lambda, starting with Node.js 26 and Python 3.15]() Original publisher: [Read original article]() Author: Jonathan Tuliani Published: 2026-08-15T14:09:35Z Content type: news Language: en Sources: [AWS Compute Blog]() Topics: [AWS Lambda](), [Node.js](), [Python](), [Amazon Web Services]() Tags: [announcements](), [availability](), [aws](), [aws-lambda](), [benchmarking](), [china](), [foundational-100](), [govcloud](), [infrastructure-as-code](), [node-js](), [python](), [release]() ### AI overview AWS Lambda introduces public preview runtimes for Node.js 26 and Python 3.15, allowing developers to test upcoming language versions before general availability and provide feedback while breaking changes remain possible. ### Source excerpt AWS Lambda introduces public preview runtimes, a new way to try upcoming language versions before GA. Start using Node.js 26 and Python 3.15 today, provide feedback, and help shape runtime quality before general availability. ## Preparing for OMB M-26-14: How Datadog supports federal logging maturity DevFeed: [Preparing for OMB M-26-14: How Datadog supports federal logging maturity]() Original publisher: [Read original article]() Author: Chris Leffler; Sophie Wang Published: 2026-06-29T00:00:00Z Content type: article Language: en Sources: [Datadog | The Monitor blog]() Topics: [SIEM, Security, Observability](), [log management](), [Monitoring](), [threat detection](), [incident](), [Incident response](), [observability](), [Security](), [Security Operations Center](), [Resilience](), [Cybersecurity]() Tags: [bits-ai](), [cloud-siem](), [compliance](), [cybersecurity](), [fedramp](), [govcloud](), [incident-response](), [log-management](), [logging](), [monitoring](), [observability](), [resilience](), [security](), [security-operations-center](), [soc](), [systems](), [telemetry](), [threat-detection](), [workflow-automation]() ### AI overview This article explains how OMB Memorandum M-26-14 changes federal logging guidance from prescriptive requirements to a risk- and maturity-based model. It describes continuous event monitoring and threat hunting, investigation, response, and forensics, including centralized security telemetry, visibility across IT, OT, and IoT environments, threat detection, searchable and retrievable logs, cross-source correlation, incident response, and forensic analysis. It also presents Datadog as a unified observability and security platform for helping agencies meet these requirements. ### Source excerpt Learn how Datadog helps federal agencies prepare for OMB M-26-14 by providing centralized telemetry data, threat detection, and automated incident response. ## How Collaboration.Ai Saved 2 Years and $2 Million with Chainguard, Second Front, and AWS DevFeed: [How Collaboration.Ai Saved 2 Years and $2 Million with Chainguard, Second Front, and AWS]() Original publisher: [Read original article]() Published: 2025-07-23T00:00:00Z Content type: article Language: en Sources: [Chainguard: Unchained]() Topics: [chainguard](), [chainguard containers](), [Amazon Web Services](), [DevSecOps](), [Vulnerabilities](), [Security](), [container images](), [cloud-infrastructure]() Tags: [ato](), [authority-to-operate](), [aws](), [chainguard](), [chainguard-containers](), [chainguard-images](), [compliance](), [container-images](), [cost](), [devsecops](), [fedramp](), [fedramp-ato](), [fedramp-containers](), [govcloud](), [hardened-images](), [secondfront](), [vulnerabilities]() ### AI overview Collaboration.Ai used Chainguard Containers, Second Front's Game Warden platform, and AWS GovCloud to accelerate CrowdVector's path toward DoD compliance. The combination reduced vulnerabilities by 97% and lowered compliance costs by $2 million. ### Source excerpt Collaboraton.AI used a combination of Chainguard Containers, Second Front, and AWS to reduce vulnerabilities by 97% and lower compliance costs by $2 million.