Operations | Monitoring | ITSM | DevOps | Cloud

Security is not just an IT priority in financial services. It is the foundation of the entire business. The need to keep financial assets and information safe is why the modern financial services industry exists. Banks, insurers, payment providers, trading firms, and fintech platforms are all built on trust. Customers trust that their money is safe, that their identities are protected, and that transactions will be accurate and available when needed.

Security teams are generating and storing more telemetry than ever before. Logs, metrics, traces, and events come from cloud services, applications, identities, and infrastructure across many environments. Retention requirements continue to grow, yet the cost of storing all of this data in traditional hot storage can quickly exceed annual budgets. At the same time, investigations and audits rely on fast access to historical data, and any delay can slow response time or limit visibility.

I am thrilled to share that Observo AI has been named InfoWorld’s 2025 Technology of the Year Award winner in the Observability category. This honor recognizes the products that are defining the future of enterprise technology, those pushing AI from theory into meaningful, practical impact. “Artificial intelligence is reshaping products across the technology landscape, often in surprising ways,” said Executive Editor Doug Dineley, InfoWorld.

Modern organizations generate more data than ever before. Logs, metrics, traces, and events stream from every application and every physical and virtual layer of infrastructure. Hidden inside this telemetry are pieces of sensitive information that security teams do not expect to see. Social Security numbers, account identifiers, medical details, personal contact information, and other forms of PII can appear in unexpected fields and formats. Static tools cannot keep pace with this volume or variability.

Today, I’m proud to share that Observo AI has been named to the 2025 Inc. Best in Business list. Awards like this are not just markers of success. They validate the impact we set out to make from day one: solving one of the most painful, structural problems in modern cybersecurity: the overwhelming flood of data slowing down security teams everywhere.

Enterprise data volumes are doubling every two years, but security and observability budgets remain mostly flat (or in the worst-case scenario, are declining). As teams struggle to keep up, the challenge isn’t just the amount of data, it’s the inefficiency of how that data is collected, processed, and routed. Most organizations rely on a patchwork of agents, forwarders, and legacy collectors like Syslog to ingest telemetry from across the environment.

Security data is exploding. Most organizations see their telemetry volumes double every two to three years, driven by cloud adoption, distributed architectures, and an expanding attack surface. Yet only a small percentage of that data contains real indicators of compromise. Analysts estimate that nearly 80 percent of SIEM and observability logs have little or no analytical value.

Every security incident starts as a small signal: an unusual connection, a mistyped command, or a subtle change in behavior. The challenge is that most of these signals are buried in mountains of noise. Modern SOCs process terabytes of telemetry each day, but only a fraction contains real indicators of compromise. Without intelligent detection and prioritization, valuable warning signs get lost in the flood of low-value events.

‍The Advantages of Onboarding a Wide Range of Security Data Sources Security teams know that better visibility comes from better data. Yet most organizations are forced to make trade-offs. They either limit the number of sources they bring in to control costs, or they accept ballooning ingestion bills for data that’s 80% noise. Neither approach sets the SOC up for success.

Security teams are increasingly realizing that yesterday’s SIEMs weren’t built for today’s world. Legacy platforms were designed for static, on-prem environments where data sources were relatively predictable and volumes were manageable. But the shift to cloud, SaaS, and dynamic workloads has completely changed the equation. Cloud-friendly, flexible, and cost-conscious SIEMs are now table stakes.