Topic
Perspectives
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.
Locked Shields and the OSI Model: Stop blaming the firewall
A back-to-basics walk through what blue teams actually defend at each layer, and why the unglamorous stuff (Layer 2, BGP) keeps deciding the scoreboard.
10 takeaways from FedCyber Exchange 2026
Leaders from across the federal government gathered to better understand IT and cybersecurity challenges in the AI age.
The lessons of Knowledge 2026: AI, trust, and the road to autonomous IT
Tanium Global ServiceNow CIO & VP Saqib Khan discusses how the high-energy event prepared attendees to operate with speed and confidence.
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.
10 steps to trusted, validated autonomous IT
Autonomous IT changes the standard endpoint management model to match today's speed and scale while reducing risk and operational cost.
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.
Understanding shadow AI in your endpoint environment
Learn how shadow AI appears on endpoints, from local models to MCP servers, and why visibility, governance, and secure configuration matter now.
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.
Claude Code source exposure: What enterprises should do next
Inside the npm packaging mistake that exposed half a million lines of Claude Code.
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.