All news with #devsecops tag

🧭 Project Helix automates onboarding for Cloudflare One, converting deployment expertise into reusable, language-aware Terraform templates and a Cloudflare Workers UI. In minutes, tenants receive baseline DNS, network, and HTTP security policies, TLS inspection options, and granular SaaS tenant controls. Administrators can toggle recommended protections to deploy consistent, error‑free configurations quickly.

🔍 A new DataDog State of DevSecOps report finds 87% of organizations run at least one exploitable software vulnerability in production, affecting roughly 40% of services. Vulnerabilities are most prevalent in Java (59%), .NET (47%) and Rust (40%). After accounting for runtime and contextual factors, only 18% of critical dependency CVEs remain critical, with .NET seeing a 98% downgrade rate. The report urges contextual prioritization to reduce alert noise and operator burnout.

🚀 vinext was built in one week by a single engineer guided by AI to reimplement the Next.js API on top of Vite. It functions as a near drop-in replacement—use vinext dev / vinext build / vinext deploy—to run App Router and Pages Router apps and deploy directly to Cloudflare Workers. Early benchmarks report up to 4.4x faster production builds and client bundles up to 57% smaller versus Next.js; the effort cost roughly $1,100 in tokens. The experimental open-source project includes extensive tests, ISR support, pluggable caching, and an optional Traffic-aware Pre-Rendering feature.

🤖 AWS IAM Policy Autopilot, the open-source static analysis tool introduced at re:Invent 2025, is now available as a Kiro power. The integration enables one-click installation from the Kiro IDE and web interface, removing the need for manual MCP server configuration and speeding baseline IAM policy creation. Developers can generate and refine policies inside their coding workflow to support rapid prototyping and ongoing application evolution.

🔒 The push to 'shift left' has largely failed because it places excessive security responsibility on developers who are pressured to prioritise speed. Ivan Milenkovic of Qualys highlights how noisy, slow tools and misplaced trust in public container registries let malicious images and embedded secrets slip into deployment pipelines. He urges organisations to proxy external images, create a golden path of approved templates and CI pipelines, and shift down security into platform engineering so controls are automatic and developer friction is minimised.

🔍 The John Lewis Partnership’s platform team redefined how it measures the value of its internal developer platform, moving beyond simple tenant counts. They began with lead-time metrics for service creation, onboarding and first-customer deliveries, then adopted DORA metrics and a Technical Health score to capture operational quality and resilience. Combining telemetry with developer-experience feedback helped prioritise paved roads, automate change handling and simplify security assurance to reduce friction and speed delivery.

🔍 John Lewis moved beyond simple adoption counts to measure whether its internal developer platform actually delivered value. Initially the team tracked practical lead-time metrics — Service Creation Lead Time, Onboarding Lead Time, and First Customer Lead Time — to show speed to production and prioritize improvements. Over time they adopted DORA metrics, centralized telemetry in BigQuery and dashboards, automated change handling, and introduced a Technical Health score to guide investments and reduce developer friction.

🔍 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.