Operations | Monitoring | ITSM | DevOps | Cloud

I’m thrilled to announce the general availability of Observo Orion, the industry’s first Agentic AI Data Engineer. This launch represents more than just a new product — it’s a fundamental shift in how organizations will manage their security and observability data pipelines. For years, I’ve watched organizations struggle with data engineering challenges. It’s been a highly specialized discipline, requiring deep technical expertise and significant manual effort.

Role-Based Access Control (RBAC) is the backbone of secure system design, offering a structured method to manage user permissions and reduce the risks associated with overprivileged access. For large enterprise systems, RBAC is essential to ensure compliance, maintain operational integrity, and enable fine-grained access control across multiple teams and projects.

I have spent a 30-year career in marketing honing the art of storytelling. My career started in consulting, wound its way around to internet and software start-ups and had a 15-year stint at IBM in various roles before diving back into the world of start-ups again. That journey was made possible by telling stories about customers' challenges and how good life looks when our solutions solve them.

Over my 20+ year career in enterprise technology, I've witnessed firsthand how powerful partner ecosystems can transform businesses. I've seen patterns repeat themselves time and time again: companies that build strong partner networks consistently outperform those that go it alone. Partners have been and always will be instrumental in scaling brand awareness, delivering exceptional customer value, and driving mutual growth.

After two decades leading marketing teams in enterprise software, particularly in IT and cybersecurity, you develop a sixth sense for transformative technologies. As I've watched security and observability data volumes compound at an alarming rate every 2-3 years, one thing has become crystal clear: enterprises are facing an unprecedented data crisis that demands an intelligent, autonomous solution.

Security data collection is the foundation of Splunk Enterprise Security (ES), but there are several challenges that organizations face when gathering and preparing data for effective analysis. These issues can impact the accuracy, efficiency, and value of the security insights derived from Splunk ES. These challenges can result in blind spots, inefficiencies, and inaccurate detection.