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All news with #devsecops tag

111 articles · page 5 of 6

AWS IAM Policy Autopilot generates baseline IAM policies

🔒 AWS announced IAM Policy Autopilot, an open-source MCP server and CLI that analyzes Python, TypeScript, and Go code locally to generate baseline, identity-based IAM policies for application roles. It integrates with AI coding assistants such as Kiro, Claude Code, and Cursor to speed policy creation. The tool stays current with AWS services and is available at no additional cost for local use. Generated policies are intended as starting points that require review and least-privilege refinement.
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Webinar: Safely Patching Systems Using Community Tools

🔒 Community-driven package managers like Chocolatey and Winget speed deployments but can introduce supply-chain risks when packages are added or updated without rigorous vetting. Gene Moody, Field CTO at Action1, will lead a free webinar that tests these tools in practice, highlights common weak points, and demonstrates pragmatic safeguards such as source pinning, allow-lists, and hash/signature verification. The session focuses on actionable steps to help teams prioritize updates using known-exploited vulnerability data (KEV) and to choose whether to rely on community repos, vendor sources, or a hybrid approach while maintaining operational velocity.
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Critical Fluent Bit Vulnerabilities Expose Telemetry Risk

⚠️ Fluent Bit, a widely deployed telemetry agent, has multiple critical vulnerabilities disclosed by Oligo Security affecting inputs, tag processing and output handling. Patches are available in Fluent Bit v4.1.1 and v4.0.12 released in early October 2025; older releases remain at risk. Operators are advised to update immediately, avoid dynamic tags, lock down output file parameters, run with least privilege and mount configuration directories read-only to reduce exposure.
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AWS Step Functions Adds Local TestState API for Workflows

🔧 AWS Step Functions' TestState API now supports local unit testing of complete workflows, including advanced constructs like Map and Parallel states, without deploying state machines to AWS. Developers can mock AWS service integrations and opt into API contract validation so mocked responses align with actual service outputs, improving test fidelity. TestState calls integrate with frameworks such as Jest and pytest and can be used in CI/CD pipelines; the feature is available via the AWS SDK and CLI in all Regions where Step Functions is offered.
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Hidden Risks in DevOps Stacks and Data Protection Strategies

🔒 DevOps platforms like GitHub, GitLab, Bitbucket, and Azure DevOps accelerate development but also introduce data risks from misconfigurations, exposed credentials, and service outages. Under the SaaS shared responsibility model, customers retain liability for protecting repository data and must enforce MFA, RBAC, and tested backups. Third-party immutable backups and left-shifted security practices are recommended to mitigate ransomware, insider threats, and accidental deletions.
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Finding Salt failures: blaming commits to speed releases

🔍 Cloudflare explains how they accelerated triage and reduced release delays for Salt-managed configuration changes across thousands of servers. They implemented a local job cache on minions to retain job results, built a Salt Blame execution module to correlate failed highstates with commits, releases and external outages, and automated hierarchical triage from chat. These changes removed repetitive SSH-and-log workflows, made root-cause attribution self-service for SREs, and yielded a measurable >5% reduction in time lost to Salt-related release delays while enabling ongoing analytics and feedback.
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Machine-Speed Security: Patching Faster Than Attacks

⚡ Attackers are weaponizing many newly disclosed CVEs within hours, forcing defenders to close the gap by moving beyond manual triage to automated remediation. Drawing on 2025 industry reports and CISA and Mandiant observations, the article notes roughly 50–61% of new vulnerabilities see exploit code within 48 hours. It urges adoption of policy-driven automation, controlled rollback, and streamlined change processes to shorten exposure windows while preserving operational stability.
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Cloudflare Introduces Isolated Testing for Workflows

🧪 Cloudflare has added local, isolated testing APIs for Workflows, enabling developers to introspect and mock workflow instances using the new cloudflare:test module. Available with @cloudflare/vitest-pool-workers v0.9.0+, the APIs (introspectWorkflowInstance and introspectWorkflow) let tests run offline inside the Workers runtime, mock step results and events, and preserve isolated storage for reliable, deterministic tests. This improves debug visibility, reduces flaky tests, and lets teams assert on intermediate steps without hitting external systems.
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GKE and Gemini CLI Integration Enhances Developer Workflows

🚀 Google has open-sourced the GKE Gemini CLI extension, bringing Google Kubernetes Engine directly into the Gemini CLI ecosystem while also functioning as an MCP server for other MCP clients. The extension injects GKE-specific context, tools, and tailored prompts so developers can use shorter, more natural language interactions and integrated slash commands to complete complex workflows. It simplifies common operations—like selecting models and accelerators or generating Kubernetes manifests for inference—while improving compatibility with Cloud Observability. The project is actively maintained with regular releases and community contributions.
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Amazon ECS Adds Built-in Linear and Canary Deployments

🚀 Amazon ECS now supports built-in linear and canary deployment strategies to give teams finer control over traffic shifts during container rollouts. Linear deployments shift traffic in equal percentage steps with configurable step percentage and step bake time, while canary deployments route a small portion of traffic to the new revision for a configurable canary bake time before completing the shift. Both strategies provide a post-deployment bake time, support deployment lifecycle hooks, and can use Amazon CloudWatch alarms to detect failures and trigger automated rollbacks. The feature is available in all commercial AWS Regions and is supported via Console, SDK, CLI, CloudFormation, CDK, and Terraform for services using ALB or ECS Service Connect.
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GitHub Universe 2025: Agents, AI, and Developer Tools

🚀 At GitHub Universe 2025, Microsoft and GitHub presented a vision for agentic development that lets developers see, steer, and build across autonomous agents. The event introduced platform capabilities like Agent HQ, a prompt-first AI Toolkit for VS Code, and the GA release of Azure MCP Server. Announcements focused on enterprise-grade security, standards-based integration, and faster, more intuitive agent creation and governance.
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AWS Elastic Beanstalk Adds Amazon Corretto 25 on AL2023

🚀 AWS Elastic Beanstalk now supports Amazon Corretto 25 on the Amazon Linux 2023 (AL2023) platform, enabling developers to build and deploy applications with the newest Java 25 runtime and language features. The update brings improvements such as compact object headers, ahead-of-time (AOT) caching, and structured concurrency to Beanstalk-managed environments. Developers can provision Corretto 25 instances via the Elastic Beanstalk Console, CLI, or API, with general availability in commercial regions and AWS GovCloud (US) Regions.
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AWS announces EC2 Capacity Reservation Topology API

🚀 AWS has announced general availability of the Amazon EC2 Capacity Reservation Topology API, providing a hierarchical, per-account view of the relative location of capacity reservations for AI/ML and HPC workloads. The API represents reservations as a network node set so customers can assess proximity without launching instances. Paired with the Instance Topology API, it enables consistent job scheduling, capacity planning, and node ranking across distributed parallel workloads and is available in most major AWS regions.
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Master Multitasking with the Jules Extension for Gemini CLI

🤖 The new Jules extension for Gemini CLI lets developers delegate routine engineering tasks—like bug fixes, dependency updates, and vulnerability patches—to an autonomous background agent. Jules runs asynchronously and can work on multiple GitHub issues in parallel, preparing fixes in isolated environments for review. It also composes with other extensions to automate security remediation, crash investigation, and unit test creation, returning ready-to-review branches so you can stay focused on higher-value work.
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AWS Serverless MCP Server Adds ESM Tools for Lambda

🔧 The AWS Serverless Model Context Protocol (MCP) Server now includes specialized tools to configure and manage AWS Lambda event source mappings (ESM), combining AI assistance with ESM expertise. The new toolset—comprising the ESM guidance tool, the ESM optimization tool, and an ESM Kafka troubleshooting tool—translates high-level throughput, latency, and reliability requirements into concrete ESM configurations and generates optimized AWS SAM templates. It also validates VPC network topology for VPC-based event sources and diagnoses common ESM issues to streamline setup, tuning, and troubleshooting workflows.
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Developers Leading AI Transformation Across Enterprise

💡 Developers are accelerating AI adoption across industries by using copilots and agentic workflows to compress the software lifecycle from idea to operation. Microsoft positions tools like GitHub, Visual Studio, and Azure AI Foundry to connect models and agents to enterprise systems, enabling continuous modernization, migration, and telemetry-driven product loops. The shift moves developers from manual toil to intent-driven design, with agents handling upgrades, tests, and routine maintenance while humans retain judgment and product vision.
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Automating Pentest Delivery: Seven High-Impact Workflows

🔁 Penetration testing delivery must evolve from static, manual reports to automated, real-time workflows that shorten remediation cycles and improve visibility. This contributed piece highlights seven practical automation workflows — from auto-creating remediation tickets in Jira or ServiceNow to auto-closing informational findings — that reduce triage noise and accelerate fixes. Implementing targeted rules and alerts ensures findings reach the right teams immediately and supports continuous testing practices.
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2025 DORA Report: AI-assisted Software Development

🤖 The 2025 DORA Report synthesizes survey responses from nearly 5,000 technology professionals and over 100 hours of qualitative data to examine how AI is reshaping software development. It finds AI amplifies existing team strengths and weaknesses: strong teams accelerate productivity and product performance, while weaker teams see magnified problems and increased instability. The report highlights near-universal AI adoption (90%), widespread productivity gains (>80%), a continuing trust gap in AI-generated code (~30% distrust), and recommends investment in platform engineering, user-centric workflows, and the DORA AI Capabilities Model to unlock AI’s value.
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Cloudflare Sponsors Astro and TanStack for Open Web

🔧 Cloudflare announced financial sponsorships for two key open-source frontend projects, Astro and TanStack. The company is partnering with Webflow to support Astro and with Netlify to support TanStack, creating a coalition of contributors to bolster project sustainability. Cloudflare runs its developer documentation on Astro, citing its “zero JS by default” model and framework-agnostic approach as essential for fast, SEO-friendly docs. The announcement also highlights TanStack’s libraries and the release candidate for TanStack Start as strategic investments for building ambitious, type-safe web applications.
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DORA AI Capabilities Model: Seven Levers of Success

🔍 The DORA research team introduces the inaugural DORA AI Capabilities Model, identifying seven technical and cultural capabilities that amplify the benefits of AI-assisted software development. Based on interviews, literature review, and a near-5,000‑respondent survey, the model highlights priorities such as clear AI policies, healthy and AI-accessible internal data, strong version control, small-batch work, user-centricity, and quality internal platforms. The guidance focuses on practices that move organizations beyond tool adoption to measurable performance improvements.
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