Operations | Monitoring | ITSM | DevOps | Cloud

Is your teen talking to AI chatbots in private? Kids aren’t only spending time on social media anymore — they’re also turning to AI chatbots for advice, stories, and emotional support. Our new Social Content Detection feature now supports AI apps like Character.AI, Gemini and ChatGPT, allowing you to monitor risky keywords and see context screenshots when something feels off. In this video, we'll cover.

Compliance work that lives outside the build pipeline becomes developer friction – and friction kills adoption. The simpler fix is to make SBOM generation a standard pipeline step via a reusable template, with output routed automatically to central storage and surfaced to the teams who need it. When developers can see their own license issues and vulnerability exposure without filing a ticket, compliance stops being a tax and starts being a byproduct of shipping.

Small language models are cheaper, run privately on your own hardware, and often beat the big models on focused tasks like sorting emails or summarizing transcripts — and they're perfect for checking a large model's work. The key is knowing when to use which.

AI adoption is easy to report. Business impact is harder to prove. Engineering leaders are under pressure to show what AI is actually changing — not just who is using it, but whether it is improving delivery, quality, developer experience, and business outcomes. This discussion between 3 engineering leaders explores how to move beyond vanity metrics, build a practical measurement approach, and communicate AI’s value to executives and CFOs with more credibility and less hype.