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Governing AI-driven infrastructure: When AI handles 80% of the work, who owns the other 20%?
AI is reshaping DevOps and platform engineering by automating routine implementation work such as pipeline generation, container configuration, and assisting with Kubernetes issue resolution that once required deep hands-on expertise. The critical question for enterprise teams isn't whether AI can support this work, but whether humans still understand what actually occurred and have the right controls in place to catch problems before they propagate.
Is platform engineering just DevOps with a new name, or is something operationally different happening?
Platform engineering is the practice of building and maintaining a centralized internal developer platform (IDP), a curated set of tools, workflows, and self-service capabilities that application teams consume rather than configure on their own. It's a structural response to how DevOps practices evolve at scale, particularly when "you build it, you run it" introduces more cognitive load than individual development teams can sustainably manage.
World Cup ’26: What it takes to secure the world's biggest sporting event
For cyber defenders, the work is invisible by design. For fans, a little awareness goes a long way.
Security teams are solving the wrong visibility problem
AI has expanded the threat surface, the estate, and the cost of not seeing clearly—all at once.
Is Windows Autopatch ready for enterprise use, or does it trade too much control for convenience?
Windows Autopatch is a Microsoft service, included with Windows Enterprise E3 and above, that automates the scheduling and deployment of Windows quality updates, driver updates, and Microsoft 365 app updates across Intune-managed devices. It reduces the manual overhead of patch scheduling by managing update rings and cadence on your behalf, but it does so by abstracting away the granular controls that enterprise patch management workflows typically depend on.
How smart governance can contain agentic sprawl
As AI agents multiply at machine speed across the enterprise, governance must evolve to match their autonomy, scale, and risk.
Autonomous IT maturity is essential in the AI age
A four-stage framework built on a bedrock of visibility will define success in the agentic era.
Zero trust creator wants you to upgrade from resiliency to anti-fragility
RSAC 2026 takeaway: Resilience has limitations when adversaries evolve faster than organizations. Stress your systems to adapt and improve continuously.
Real-time visibility: A security imperative in an AI world
To fight automated and AI-powered online attacks, organizations need new ways to support and safeguard IT operations. Experts say that real-time endpoint visibility tools are essential to cybersecurity defense.
Cybercrime in the age of AI: To protect yourself, think like a hacker
Hackers and cybercriminals are increasingly turning to agentic AI, LLMs and turnkey ransomware tools. To defend against them, IT leaders must also tap into the power of smart technology, says leading influencer Alissa Valentina Knight.
Preemptive cybersecurity: Real protection or ‘Minority Report’ fantasy?
Stopping attacks before they happen is every defenders dream and it could be heading toward reality as AI-driven predictive cyber insights takes shape.
Brands and the biometrics backlash: Here’s why AI governance is so critical
The Wegmans facial recognition controversy underscores why biometrics systems demand stronger data security, oversight, and long-term accountability.