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
Contrast launches CVE Shield to block exploit attacks
Qualys adds governance to TotalAI for AI risk control
Dynatrace adds AI agents for governed IT operations
Redgate launches Flyway MCP Server for AI code control
Atlassian adds Jira tools for AI-native software teams
Featured News
Expert Columns
Supercharged security: Cyber risk in the age of frontier AI
AI deserves our appreciation, but only if we're honest about what we're appreciating
A strategic blueprint for governing AI-enabled software development
Your annual penetration testing is already out of date
As agentic development accelerates, workflow auditability becomes a bottleneck
Secure by default: Moving beyond secure by design
Why the next endpoint and SASE disruption will not come from a security vendor
The security challenges in AI-assisted software development
Interviews
Interviews and video coverage from the network
Recent DevSecOps News
Secureframe launches hosted AI server for compliance
Defence contractors could cut compliance overhead as Secureframe's new tools flag federal obligations, gaps and costs for CMMC and FedRAMP.
AI patches fail to fix flaws, 1Password study finds
Security teams should treat AI patching with caution after 53.9% of 6,080 model-generated fixes failed or introduced new flaws.
Elisity launches CLI for customer-run AI security agents
Customers can now run their own AI agents against Elisity's platform to continuously verify Zero Trust policies and spot drift faster.
Sysdig launches Secure AI for cloud security teams
Cloud security teams are under pressure to act faster as vulnerabilities are being exploited within hours of disclosure, Sysdig said.
Sumo Logic unveils new AI tools for security teams
The new release aims to cut investigation time for security teams, with Sumo Logic claiming its own SOC reduced MTTR by 64%.
LevelBlue named SentinelOne remediation partner for AI
The tie-up aims to help security teams turn validated AI findings into ranked fixes before vulnerabilities pile up and attackers move first.
BeyondTrust adds AI identity controls to Pathfinder
Security teams must now track AI agents and machine accounts as well as staff, as BeyondTrust expands Pathfinder to cover privileged access.
Tenable expands AI security coverage to Google Gemini
Security teams face a wider visibility gap as Tenable adds Google Gemini, MCP and AI coding tools to its exposure management platform.
Cyera launches tools to secure enterprise AI agents
Security teams face a sharper risk from hidden AI agents as Cyera says non-human identities in Fortune 500 companies jumped 480% in six months.
LevelBlue named SentinelOne's Premier remediation partner
Organisations using Wayfinder Frontier AI Services will now get help turning validated vulnerabilities into prioritised fixes and post-deployment checks.
Qualys launches InstaScan for faster vulnerability detection
Security teams could spot newly disclosed flaws within minutes as rising CVE volumes and faster attacks squeeze response windows.
Anthropic says Claude models accessed real systems in tests
Misconfigured test setups let three Claude models touch live systems, exposing production data and credentials during security exercises.
CrowdStrike says AI is now central to cyberattacks
Defenders now face a 48-hour window after proof-of-concept code appears, as attackers use AI to speed exploits and hit software chains.
Island flags security concerns in nearly half of MCP servers
Nearly half of scanned MCP server builds carried at least one security concern, underscoring fresh supply chain risks as AI agents rely on them.
Orca launches AI security tools for all software builders
Security teams face fresh blind spots as AI-built apps and traditional code pipelines increasingly expose company data and cloud systems.
Google warns of rise in open source supply chain attacks
Malicious packages are now spreading faster across code repositories, with Google saying open source ecosystems face the sharpest rise in risk.
BreachLock report flags AI, cloud & web logic risks
Cloud audits produced the highest critical finding rate, while every AI system tested showed vulnerabilities and web logic flaws rose sharply.
Adfinis wins Red Hat OpenShift certification for Secretz Enterprise
OpenShift users now have a validated way to deploy Secretz Enterprise through the Red Hat Ecosystem Catalog, including offline sites.
Tines launches 3B to govern AI-generated workflows
The platform targets firms struggling to oversee a surge in AI-built software, as governance gaps create security and compliance risks.
1Password launches privileged access tools for AI agents
The new platform aims to cut breach risk as firms let AI agents use more systems, with 40% of developers leaving their access in place.