Operations | Monitoring | ITSM | DevOps | Cloud

Large Language Models (LLMs) can produce impressive text responses, but they’re not immune to generating harmful or disallowed content. If you’re developing an LLM-powered application, you need a reliable way to detect and block risky outputs. Disallowed content – hate speech, explicit descriptions, harmful instructions – can damage your product’s reputation, endanger user safety, and potentially violate legal or platform guidelines.

We’re in the midst of a fundamental shift in how organizations run operations. 51% of companies have already deployed AI agents. What was once reactive and manual is becoming intelligent, automated, and AI-driven. The organizations that embrace this shift gain more than just operational efficiency; they develop a strategic competitive advantage that directly impacts business outcomes.

In the world of business, AI is like a superhero - but even superheroes need the right tools to do their job. To make AI truly effective, it’s important to pair it with automated data capture across your operations. Just like us, AI needs a complete picture to make smart decisions and avoid mistakes. Without all the details, it can’t spot patterns, catch defects, or find hidden inefficiencies.

Regulations like the EU’s Cyber Resilience Act (CRA) are top of mind for many in the embedded software world right now, and understandably so. The pressure to comply is real, especially for teams already juggling tight schedules and complex development environments. But as disruptive as these mandates might feel, they also present an opportunity and perhaps a necessary nudge to adopt better habits that can strengthen the software we build, far beyond compliance.

Within the realms of microservices and distributed systems, gRPC has emerged as a cornerstone technology. Its adoption by tech giants like Google, Netflix, and Square underscores its capability to facilitate high-performance, scalable inter-service communication. Built as a modern take on the traditional Remote Procedure Call (RPC) paradigm, gRPC enables services, potentially written in different languages, to communicate efficiently and reliably across networks.