Articles on AI, cybersecurity, product strategy and enterprise technology.
An agent that works in a demo has passed the easy test. Before it touches real systems, you need answers on permissions, failure handling, review, cost and how you'll know it's working.
Scanners find vulnerabilities faster than any team can fix them. Teams that accept this and decide what to leave open make more progress than teams still chasing an empty queue.
Only 7% of enterprises say their data is completely ready for AI. Yet 84% feel confident about it. The gap between perceived and actual readiness is where most AI budgets go to die, and there's a specific way to close it.
Most enterprise AI pilots die quietly. The technology usually works. The organization was never built to receive it. Here's the pattern, and what the 5% who succeed actually do differently.
Low-code began as a shortcut for simple workflows. It has become the default approach for enterprise application delivery. Here's how the leading platforms evolved, where they diverged, and where each one is headed next.
From alert storms to autonomous remediation, Datadog, Dynatrace, and other observability vendors are racing to turn their platforms into intelligent operations systems. Here's what that race looks like up close.
Beneath the benchmarks and feature wars, OpenAI and Anthropic are making different bets about what an AI product should be. Those bets explain where the industry is headed.
