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By Bryan Turriff
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.
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By Bryan Turriff
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.
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By Gurjeet Arora
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.
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By Bryan Turriff
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.
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By Gurjeet Arora
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.
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By Bryan Turriff
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.
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By Bryan Turriff
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.
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By Bryan Turriff
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.
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By Bryan Turriff
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.
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By Bryan Turriff
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.
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By Observo.ai
Rinki Sethi, CISO of Bill, discusses how Observo Ai can quickly add value to control data sprawl so security teams can focus their time and efforts on Threat Hunting.
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By Observo.ai
In this demo first shown at Splunk.conf24, we look at the data-lake creation feature of Observo. Data is stored in the parquet format - a open columnar format. We also support searching the data-lake based on natural language search - under the hood this functionality uses LLM for text to SQL functionality. Use the rehydrate function to send any subset of data to the analytics platform of choice, on-demand. Consider keeping a smaller Splunk index, and use the lake for retention - retain more data, longer, for a lot less cost, all in a flexible format.
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By Observo.ai
In this demo, first shown at our Splunk.conf24 breakout session, we look at how easy it is to enforce data policies including PII obfuscation using Observo AI’s Smart Pipeline. Our data plane is written in Rust and supports extremely high performance scanning of patterns at wire speed. Let us see how we do it.
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By Observo.ai
In this demo from Splunk.conf24, we look at a super voluminous source of data like flow logs and see how Observo pipeline’s Smart Summarization Engine helps reduce complexity and makes it much easier to find the needle in a haystack.
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By Observo.ai
In this demo first aired at Splunk.conf24, we showed the flexible enrichment capabilities of the Observo AI pipeline. A common enrichment scenario for security teams is GeoIP enrichment - it involves adding geographical information to IP addresses. Among other things, GeoIP enrichment can be very useful for location based customization, threat analysis & network traffic pattern mining. Let us see how we do it.
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By Observo.ai
We take a look at the main dashboard of Observo AI and delve into concepts like Sources, Destinations, pipelines, and transforms. (set your quality to HD using the setting button below for more detail)
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By Observo.ai
In this Observo AI demo from Splunk.conf24, we show how easy it is to drag and drop to create a pipeline from scratch and then we show how to transform data from Windows logs and XML into the Splunk CIM for easy ingestion to Splunk.
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By Observo.ai
Observo sentiment analysis recognizes patterns of normal data and anomalies that need more investigation using our machine learning models. Alert fatigue happens when your teams are inundated with alerts that may have little to no important information in them. By using sentiment analysis, they can prioritize the alerts that need attention right away and which can be looked at later - resolve critical incidents faster before they spiral into a bigger problem. Our customers have reported 40% or more boost in incident resolution speeds.
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By Observo.ai
In our comprehensive whitepaper, we delve into the challenges of observability, including data overload, legacy architectures, rising costs, security risks, noisy data, and lack of dedicated resources.
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Observo.ai helps you reduce security and observability costs by 50% or more while resolving incidents 40% faster.
With artificial intelligence, Observo.ai elevates observability beyond static, rules-based tools. We automate observability pipelines, for smarter, deeper data optimization, faster deployment, and bigger savings.
AI-driven features to optimize telemetry data for Security and DevOps:
- Data Optimization & Reduction: Cut log volume by 80% and reduce the total cost of observability by 50% or more.
- Anomaly Detection: Lower Mean Time to Resolution (MTTR) of incidents by 40% or more.
- Smart Routing: Avoid vendor lock-in by routing data where it has the most value.
- Searchable, Low-Cost Data Lake: Retain more data, spend less money, be more flexible.
- Data Enrichment: Add context to data for faster searches and eliminate Alert Fatigue.
- Sensitive Data Discovery: Earn your customers’ trust by securing all PII to stay in compliance.
The AI-Powered Observability Pipeline.