Operations | Monitoring | ITSM | DevOps | Cloud

Conversational AI has arrived in Alloy Software documentation, making it easier to find the exact answers you need. Ask a question, follow up naturally, and refine the response until you reach the right instructions or product details, without starting over or digging through pages. The redesigned experience keeps the conversation in context and lets you go as deep as you need.

Discover the ITSM metrics that matter most—and how focused, action-oriented reporting can turn service data into better decisions. Effective IT service management depends on visibility, and visibility depends on measurement. Reliable reporting gives IT teams a factual basis for decisions and replaces assumptions with evidence.

Over the past year, organizations have embraced AI at an extraordinary pace, and Nexthink AI Activation Hub powered by AI Drive has helped customers make sense of that transformation by helping organizations discover the growing wave of AI tools entering the workplace, rapidly triage and govern them, accelerate adoption of approved AI solutions, and measure the impact of AI across the enterprise.

If you run LLM features in production, your most dangerous failures are the ones your monitoring never flags. Your LLM feature passed every test, and the demo went great. Three weeks after launch, a support ticket lands: the chatbot quoted a refund policy that does not exist. The dashboards are all green, and the same prompt answers correctly when you retry it. This is the blind spot LLM observability exists to close. Your existing tools saw the request come back fast with a clean status code.

How confident are you that you know every component inside your software, and every algorithm guarding it? In practice, the answer is usually scattered across build tools, ticketing systems, and spreadsheets that stopped being accurate months ago. A modern application draws on hundreds of open-source parts, and the encryption underneath them is harder still to trace. That visibility gap is what keeps the "SBOM vs CBOM" question alive in security and compliance reviews.

Most security breaches begin with something small and avoidable. Think of a password still set to its default, a server port left open to the internet, or configuration drift that slowly undoes last year's careful setup. Gaps like these go unnoticed because nobody is assigned to look for them, and they can be very costly. According to IBM's 2025 Cost of a Data Breach report, the average data breach incident costs companies 4.44 million dollars.