Operations | Monitoring | ITSM | DevOps | Cloud

Four months ago, Claude Code was announced and we were requesting invites to its "Research Preview." Now? We've gone from no Claude Code to simultaneously running four or five Claude agents, each working on different features in parallel. It sounds chaotic, but it's been a natural progression as we've learned to trust AI more and as the tools have dramatically improved.

Cybercriminals are no longer lone hackers sitting behind screens; they use artificial intelligence to supercharge their attacks. They employ large language models (LLMs) that generate phishing content to evade human detection. They use malware that adapts mid-execution to bypass sandbox environments and deepfake video/audio to mimic executives in real time.

Every second counts when it comes to detecting, diagnosing, and resolving network incidents, yet many teams still find themselves stuck in reactive mode, drowning in alerts, manually writing scripts, and managing tickets across disconnected systems. This is where Selector and Itential come in. Together, Selector and Itential deliver a powerful, enterprise-ready solution that closes the loop between detection and action.

On a recent episode of The Product Manager podcast, Cortex CEO Anish Dhar joined host Hannah Clark to challenge a growing narrative: that software engineering is obsolete in the age of AI. His take? Engineering isn’t disappearing, it’s maturing. At Cortex, we work with some of the most forward-thinking engineering organizations at companies like Canva and Fanatics.

Most IT leaders already understand that AI is the future of operations, but too many are still treating it like it’s so far off. The irony? Waiting is exactly what’s costing them the most. While businesses obsess over budget cuts, resource constraints, and service quality, one truth remains: delays in adopting AI for IT operations are compounding operational inefficiencies, inflating labor costs, and stalling digital progress. AI isn’t just about innovation; it’s about scale.