The Ultimate Guide to DevSecOps
A curated Irish edition of TechDay news, analysis, interviews, reviews, job moves, and related resources for DevSecOps.
What to know about DevSecOps
DevSecOps represents the integration of security practices within the DevOps process, aiming to build security into every phase of software development and delivery. This approach helps organisations accelerate development cycles while maintaining strong security and compliance standards.
Exploring recent stories tagged with DevSecOps reveals a dynamic field where AI-driven tools, cloud-native security, and collaboration between development, security, and operations teams are shaping the future of secure software delivery. Topics such as risk management, container and API security, supply chain protection, and the rising importance of observability and automation are frequently discussed.
For readers interested in how organisations are addressing evolving cybersecurity threats while enhancing agility and innovation, the DevSecOps tag offers insights into technology advancements, cultural shifts, and best practices that help teams deliver resilient, secure software faster. Whether you are a developer, security professional, or IT leader, following DevSecOps stories provides valuable perspectives on securing modern software development in an increasingly complex digital landscape.
Analyst Insights
Research and market analysis connected to DevSecOps
Salt Code enforces security policies in AI coding tools
XM Cyber boosts identity access tools for hybrid firms
BeyondTrust named leader in KuppingerCole PAM report
Cycode launches agentic development lifecycle security
Gigamon eyes AI-led surge in network observability
Featured News
Google Cloud CEO sets out enterprise AI agent plan
Enterprises will get one place to build, govern and run AI agents, as Google Cloud expands Gemini Enterprise across models, data and security.
UiPath Accelerates AI in Software Development and Testing
UiPath is pushing AI deeper into software testing, promising autonomous agents that transform quality assurance and developers' roles.
Grafana: Turning data chaos into developer efficiency and CFO savings
Grafana leans on AI-powered observability and Adaptive Telemetry to sharpen developer insight while slashing cloud bills by up to 50%.
Expert Columns
Interviews
Interviews and video coverage from the networkRecent DevSecOps News
HackerOne launches AI platform to close security gap
Rising vulnerability volumes are outpacing fix times, prompting HackerOne to roll out an AI system that feeds confirmed threats into developer tools.
Cybanetix launches managed AI service for business risk
Businesses adopting AI now face a single service aimed at filling gaps in governance, monitoring and incident response across workflows.
Secure Code Warrior launches AI governance learning
Companies can now tie AI code-use risks to developer training, with Secure Code Warrior aiming to prove compliance at commit level.
Telus Digital flags AI model safety gaps in benchmark
Enterprises face uneven safeguards as TELUS Digital found no generative AI model was fully immune to attack in 620,000 tests.
DevOps platform vulnerabilities rise in 2025 report
More than half of patched flaws in major DevOps tools were high or critical in 2025, putting software supply chains at greater risk.
IBM & Red Hat launch £5bn open-source security plan
The move targets vulnerabilities in software used by large firms, as AI makes it easier to find and exploit flaws.
RevEng.AI raises USD $15 million to secure software
The funding will help firms spot hidden flaws and backdoors in compiled code as AI-generated software and supplier risk raise security concerns.
Google Cloud launches AI Threat Defence against attacks
The new service aims to help firms keep pace as AI-powered criminals automate attacks faster than security teams can patch flaws.
Ping Identity adds controls for AI agents in businesses
Businesses adopting AI agents face new security and accountability risks as Ping Identity extends access controls, auditability and governance.
Gemini tops Floxy's AI coding assistant leakage risk
A Floxy study warns developers that Google's coding assistant keeps code for 540 days and defaults to training on user data.
Bugcrowd launches RL environments for AI security training
The platform aims to help AI developers move beyond benchmark tests, as models struggle to tackle real-world vulnerabilities safely and reliably.
Sumo Logic adds Claude compliance logging integration
Security teams can now track Claude use alongside other enterprise logs, helping firms meet compliance rules and investigate activity more easily.
Socket raises USD $60 million to tackle code risks
The round values the software supply chain security company at USD $1 billion as AI coding boosts the flow of third-party code into production.
Sumo Logic adds Claude compliance monitoring integration
It will let security teams fold Claude audit trails into existing monitoring, easing compliance checks as AI use spreads across enterprises.
1Password expands OpenAI Codex deal for secure credentials
The new integration keeps passwords out of prompts and repos, reducing the risk of leaks as AI coding agents move into production workflows.
TAC Security adds Anthropic & Perplexity AI clients
Independent security checks are gaining urgency as fast-growing AI and software firms face rising scrutiny from customers, partners and regulators.
GitLab 19.0 adds secrets manager & AI workflow tools
The release gives security teams and developers new controls for credentials, merge requests and supply chain oversight as AI use grows.
OpenSSF adds five members & new security resources
Members are backing tougher open source security as OpenSSF expands guidance on regulation, Python coding and AI-driven vulnerability tools.
LaunchDarkly launches AgentControl for AI agent operations
It gives software teams a way to change AI agent behaviour in production in under 200 milliseconds, reducing the risk of bad outputs reaching users.
Atsign AI platform wins Gold for zero-attack surface
Independent testing suggests enterprise AI can be deployed without exposed inbound ports, easing security concerns for firms handling sensitive data.