Social – X
Agentic DevSecOps: AI Security Co-Pilots for Your CI/CD Pipeline
Joydip Kanjilal | | agentic AI, AI copilots, AI Governance, AI incident response, AI pipeline management, AI security, AI security agents, AI threat detection, AI vulnerability scanning, AI-driven security, AI-powered DevSecOps, application security, autonomous AI agents, autonomous security testing, CI/CD security, Cloud Security, continuous security monitoring, cybersecurity automation, devops security, devsecops, devsecops automation, infrastructure security, intelligent automation, real-time threat intelligence, SDLC security, Secure software delivery, security automation, security operations, security orchestration, security posture management, software development lifecycle, software security, threat remediationThe emergence of AI has brought endless possibilities and innovative opportunities in today’s ever-changing, fast-paced technology landscape. AI is helping development teams produce software significantly faster than ever before. AI-enabled DevSecOps tools ...
Risk-Based Review for Infrastructure as Code Pull Requests
Naga Krishna Reddy Muppidi | | automated review systems, blast radius analysis, change approval workflow, change management, CI/CD governance, cloud infrastructure, Cloud Security, deployment risk, deployment safety, devops, devsecops, Engineering Governance, engineering productivity, gitops, IaC review, infrastructure as code, infrastructure auditing, infrastructure automation, infrastructure change tracking, infrastructure compliance, infrastructure controls, infrastructure delivery, Infrastructure Governance, infrastructure observability, infrastructure reliability, infrastructure risk scoring, infrastructure security, operational risk management, platform engineering, platform operations, platform team workflows, policy as code, production changes, production deployments, pull request review, reviewer fatigue, reviewer workflows, risk assessment, risk-based review, security review automationNot every infrastructure pull request deserves the same review path. A tag change in a development account and a network-policy change in production should not create identical reviewer load. When every change ...
The Death of the Four Golden Signals: Designing Telemetry for Non-Deterministic Infrastructure
Jyostna Seelam | | AI architecture, AI compliance, AI Governance, AI guardrails, AI infrastructure, AI monitoring, AI observability, AI operations, AI operations strategy., AI performance metrics, AI platform monitoring, AI reliability, AI resilience, AI safety, AI SLIs, AI SLOs, AI system reliability, AI telemetry, AI trust, Enterprise AI, generative AI monitoring, guardrail intervention rate, hallucination detection, LLM monitoring, LLM observability, modern SRE, non-deterministic systems, Observability Engineering, OpenTelemetry, platform engineering, production AI, RAG observability, RAG systems, semantic drift, site reliability engineering, SRE, time to first token, token throughput, TTFT, vector database monitoringIn complex software systems, our traditional definition of operational health has always been comfortably binary. For over a decade, site reliability engineering (SRE) teams have relied on the industry-standard ‘Four Golden Signals’ ...
The Silent Risk of AI-Written DevOps Pipelines
Sannan Ali | | AI-generated DevOps pipelines, CI/CD, devsecops, pipeline security, Software Supply ChainThese days, when a developer needs a CI/CD pipeline, they don’t always dive into GitHub Actions docs or spin up Jenkins from scratch. Instead, they pull up an AI assistant and type ...
Allstacks Extends Reach of Software Engineering Intelligence Platform to AI Agents
Allstacks this week added a shared workspace capability to its software engineering intelligence platform that makes it simpler for product and software engineering teams to create specifications for artificial intelligence (AI) agents ...
SmartBear Adds Computer Vision Capability to Testing Platform
SmartBear this week extended its ability to apply artificial intelligence to application testing with the addition of a computer vision capability that can be used to detect objects in applications. Prashant Mohan, ...
Agentic Observability is Not a Chatbot Over Telemetry
Agentic observability isn’t about removing engineers from the loop. It is about making the loop faster, better informed, and easier to operate at the scale modern systems require. ...
Harness Acquires Codecov to Identify Untested Code
Harness this week acquired Codecov, a provider of a platform that analyzes the percentage of a codebase that has been tested, from Sentry. Brad Rydzewski, a senior vice president and general manager ...
Why DIY Test Automation Succeeds Its Way Into a Problem
Rohit Raghuvansi | | AI Development, DIY Test Automation, Quality Engineering, software testing, test automationAsk any engineering team if they can build their own test automation framework, and the answer is almost always “yes.” With modern AI tools involved, that answer arrives faster and with more ...
Latest OpenTofu Release Simplifies Configuration Updates
The latest update to the OpenTofu infrastructure-as-code (IaC) tool is making it simpler to update and refactor configurations without having to rework the entire codebase. Version 1.12.0 of OpenTofu has added a ...
GitHub Copilot Gets Its Own App — and Agents Are the Reason Why
GitHub debuts the Copilot app at Microsoft Build 2026 — an agent-native desktop experience for managing parallel AI agents, canvases, sandboxes, and code review ...
Survey Surfaces Pervasive Adoption of AI Across SDLC
Tricentis survey reveals 68% of orgs use AI in software delivery, but 60% admit to shipping untested code, leading to massive financial and security risks ...
