All news with #devsecops tag

🔍 John Lewis Partnership outlines a pragmatic approach to selecting monitoring metrics for its developer platform, stressing that impressive numbers alone don't prove platform health. They pair objective DORA benchmarks with recurring qualitative engineer feedback via DX, and track feature adoption and technical hygiene through a custom Backstage plugin. Individual checks run as small jobs, results land in BigQuery, and insights are surfaced as aggregated views, per-team tasks, and leaderboards to drive targeted improvements.

🚀 This article demonstrates a full-stack architecture that uses Flutter for the web frontend and Dart for the backend, enabling shared models and business logic across client and server. It walks through a To-Do example that places the domain model in a shared package, uses Shelf to serve both API routes and static web files, and compiles the server to a native executable for fast startup. Deployment options include Cloud Run's OS-only runtime for mounting precompiled artifacts or a Dockerfile-based multi-stage build for portable containers, and the article includes CI guidance using GitHub Actions to automate analysis, tests, and web builds.

🔔 Amazon Lightsail now offers new Node.js, LAMP, and Ruby on Rails blueprints that enforce IMDSv2 by default and support IPv6-only instances. With a few clicks you can create a Lightsail VPS of your preferred size with the selected stack preinstalled; bundles include an operating system, storage, and a monthly data transfer allowance. The new blueprints are available in all AWS Regions where Lightsail is offered.

🔐 Security engineering teams are builders who design services, automate processes, and optimize deployments to support central security organizations and their stakeholders. They must pair deep technical fluency — understanding the full IT environment, containers, CI/CD, and operational telemetry — with product ownership to build and operate what they create. Emphasizing developer experience (DevX) reduces friction and increases adoption of security controls. Equally important are collaboration, influence, and soft skills such as prioritization, adaptability, and continuous learning to sustain a resilient practice.

🔒 AWS Transform custom now supports AWS PrivateLink and is available in the Europe (Frankfurt) Region in addition to US East (N. Virginia). The service automates repetitive code transformation tasks—language version upgrades, API migrations, and framework updates—using natural language, documentation, and code samples or AWS-managed transformations for Java, Python, and Node.js. With PrivateLink, customers can invoke Transform custom from an Amazon VPC without routing traffic over the public internet, helping address security and compliance requirements while enabling consistent, repeatable changes across large codebases.

🔒 Application security is shifting from relying solely on SAST, DAST, SCA and MAST to a posture-centric model that emphasizes posture, provenance and proof. The article recommends Application Security Posture Management (ASPM) as the control plane to correlate scanner outputs, enforce policy and prioritize actionable risks based on reachability and exposure. It urges stronger supply-chain controls—SLSA attestations, signed SBOMs and VEX—plus runtime protections such as IAST and RASP, and AI and language policies driven by recent NIST and NSA/CISA guidance.

🔍 FINRA partnered with Google Cloud to adopt the DORA metrics and a data-first DevOps approach to shorten lead times and modernize its software lifecycle. A DORA workshop revealed lengthy User Acceptance Testing (UAT) cycles as a primary bottleneck, enabling a multi-million-dollar business case for a dedicated sandbox to accelerate testing and deployment. The initiative standardized DORA across teams and targets full adoption within the year.

🛡️ Prisma AIRS integrates with Factory’s Droid Shield Plus to secure agent-native software development by inspecting all LLM interactions in real time. The platform monitors prompts, model responses and downstream tool calls to detect prompt injection, secret leakage and malicious code execution. Using an API Intercept pattern, Prisma AIRS can coach, block or quarantine risky inputs and generated outputs before they reach developers or repositories. This native, continuous protection is designed to preserve developer velocity while improving deployment confidence.

🛡️ Vibe coding accelerates development but often omits essential security controls, introducing vulnerabilities, data exfiltration, and destructive actions. Unit 42 documents incidents where AI-generated code bypassed authentication, executed arbitrary commands, deleted production databases, or exposed sensitive identifiers. To mitigate these risks, Unit 42 proposes the SHIELD framework—Separation, Human review, Input/output validation, Enforcer helper models, Least agency, and Defensive controls. Implementing these measures restores governance and enables safer AI-assisted development.

🔍 This special report helps IT leaders align near-term planning with 2026 priorities by emphasizing greater agility, flexibility, and measurable business outcomes. It stresses the need to automate, streamline, and modernize IT operations to counter skills shortages and meet rising demand. Four feature pieces examine strategy beyond AI, the cost of cloud fragility, how AI agents reshape supply chains, and AI's implications for cybersecurity.

🛡️ Companies facing NIS2 risk turning compliance into a voluminous paperwork exercise unless security is embedded in the technical stack from the outset. The piece argues that documentation alone does not equal protection and advocates for automating controls and evidence via infrastructure as code, CI/CD pipelines, and policy-as-code. Practical focus areas include IAM, vulnerability and supply-chain management, and monitoring and incident response, where automation both reduces burden and improves auditability.

🔒 HoundDog.ai provides a privacy-first static code scanner that embeds detection and governance into development to prevent data leaks before code reaches production. The Rust-based engine performs deep interprocedural analysis across files and functions and can scan millions of lines in under a minute. It traces more than 100 sensitive data types into risky sinks such as logs, LLM prompts, files, local storage, and third-party SDKs, and integrates with IDEs and CI to enforce allowlists and auto-generate RoPA, PIA and DPIA evidence.

🔧 Staff+ security engineers should move from being individual problem-solvers to force multipliers by enabling others, automating enforcement, and shaping security strategy. The article recommends practical mechanisms—policy-as-code, paved paths, mentorship trees—and disciplined delegation to scale impact. It urges embedding security via shift-left practices, reusable reference architectures, and cautious AI-assisted tooling. During incidents, act as an orchestrator, set inflection points, and bridge teams with leadership to preserve strategic influence.

🤖 The 2025 DORA companion guide highlights that AI acts as an amplifier, boosting strengths and exposing weaknesses across teams. Drawing on a cluster analysis of nearly 5,000 technology professionals, it identifies seven foundational capabilities — including a clear AI stance, healthy and AI-accessible data, strong version control, small-batch workflows, user-centric focus, and quality internal platforms — that increase the odds of positive outcomes. The guide maps seven team archetypes to help leaders diagnose where to start and offers a Value Stream Mapping facilitation to direct efforts toward system-level constraints so AI-driven productivity scales safely.

🛡️ The EU directive NIS2, in force in Germany since 06 December 2025, risks becoming a paperwork-heavy exercise unless organisations adopt automation and DevSecOps. The article argues security must be planned and enforced by technology, using Infrastructure as Code, policies-as-code and CI/CD pipelines so controls and evidence (commits, pipeline logs, SBOMs) are revision-proof. Solutions such as CIEM, CNAPP and SIEM can centralise IAM, vulnerability and incident data so auditability is produced by the platform rather than by post-hoc Word documents.

🔐 Cloudflare describes how its Customer Zero team moved internal production account management from manual dashboard changes to a centralized Infrastructure as Code model to reduce human error and accelerate secure change. The effort uses Terraform, an Atlantis-driven CI/CD pipeline, and a custom tfstate-butler backend to securely manage state at scale. Policy enforcement relies on Open Policy Agent Rego policies executed through Conftest on every merge request, with warnings or deny gates and a formal exceptions workflow.

🛠️ Google's Application Design Center is now generally available, delivering a visual, canvas-style, AI-assisted environment to design and deploy Terraform-backed application templates. It pairs Gemini Cloud Assist with opinionated Terraform components to generate deployable infrastructure patterns and architecture diagrams. Integrated with App Hub and Cloud Hub, it makes applications discoverable, observable, and manageable, while supporting BYO-Terraform, GitOps, and enterprise governance to accelerate platform engineering and developer self-service.

🔒 AWS today announced the preview of AWS Security Agent, an AI-powered agent that automates security validation across the application development lifecycle. The service lets security teams define organizational requirements once and then evaluates architecture and code against those standards, offering contextual remediation guidance. For deployments, it performs context-aware penetration testing and logs API activity to CloudTrail; the preview is available in US East (N. Virginia). AWS states customer data and queries are not used to train models.

🔒 Security leaders must shift from gatekeeper to partner, embedding practical risk controls early in product lifecycles so teams can deliver fast without exposing the business. By defining business-language risk tolerances, standardizing identity and logging, and automating guardrails in CI/CD and infrastructure-as-code, governance becomes an accelerator rather than a bottleneck. Pre-vetted, secure-by-default templates, runtime shielding and risk-based telemetry make the secure path easier for developers while preserving production resilience.

🔧 AWS Transform is now generally available with expanded .NET modernization features that let customers convert .NET Framework and .NET code to .NET 10 or .NET Standard. New capabilities include automated UI porting from ASP.NET Web Forms to Blazor on ASP.NET Core and Entity Framework ORM porting. An enhanced IDE workflow via the AWS Toolkit for Visual Studio 2026 or 2022 provides an editable transformation plan, real‑time progress, repeatable iterations, detailed logs, and a Next Steps markdown for AI code companions.