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Using Observo AI as a Security Data Fabric

Oct 8, 2024 By Bryan Turriff In Observo.ai
Data fabrics are cohesive data layers that bridge data sources with data consumers, including analytics platforms such as SIEMs. They automate tasks like data ingestion, integration, and curation across diverse data sources, improving the agility and responsiveness of data ecosystems. More specifically, a security data fabric adds additional capabilities, including governance and compliance, security enrichment, and the integration of security events.
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Advanced Metrics Optimization: Filter, Reduce, and Aggregate with Observo AI

Oct 3, 2024 By Bryan Turriff In Observo.ai
The massive growth of observability data isn’t limited to just log data. Metrics are growing just as fast, or faster. Making matters worse, DevOps and Engineering teams aren’t just dealing with the increasing volume of metrics data causing a spike in egress, storage, and compute costs. Many tools also charge by the number of custom metrics they track.
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Observo AI is now available on Azure Marketplace

Sep 26, 2024 By Bryan Turriff In Observo.ai
Observo AI is excited to announce that we have partnered with Microsoft and it is now available on the Azure Marketplace. This will make it easier for Azure customers to quickly adopt the AI-Powered Security and Observability Pipeline to help control costs, manage data sprawl, boost productivity, and identify and resolve critical incidents faster. Customers can now deploy Observo AI at speed while benefiting from Azure’s trusted and secure infrastructure, as well as its global commercial footprint.
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Without AI, Your Telemetry Data Pipeline Sucks

Aug 1, 2024 By Bryan Turriff In Observo.ai
History is filled with stories of human triumph. One of the most famous such stories is that of John Henry, “The Steel Driving Man.” As the traditional American folk story goes, John Henry and his fellow workers were faced with the arrival of the steam engine, which threatened to replace their manual labor. To prove that human strength and skill could outperform the new technology, John Henry challenged the machine to a contest.
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Observo AI Joins the AWS Marketplace

Jul 18, 2024 By Bryan Turriff In Observo.ai
Observo AI is excited to announce that we have partnered with AWS and our solution is now available on the AWS Marketplace. This will make it easier for AWS customers to quickly adopt the AI-Powered Security and Observability Pipeline to help control costs, manage data sprawl, boost productivity, and identify and resolve critical incidents faster.
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Mastering Fortinet FortiGate Firewall Logs - Part 2 Optimization

Jul 9, 2024 By Observo.ai Team In Observo.ai
FortiGate firewall logs are crucial for network security and compliance. These logs contain valuable information about network traffic, including source and destination IP addresses, ports, protocols, timestamps, and firewall actions. With FortiGate log volumes growing annually, many organizations face challenges in processing and storing these logs efficiently. In part 1 of this series, we covered an overview of Fortigate logs, and some of the challenges they pose for Security and DevOps teams.
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Mastering Fortinet FortiGate Firewall Logs - Part 1 Overview

Jun 28, 2024 By Observo.ai Team In Observo.ai
Fortinet FortiGate firewalls are crucial network security devices that help manage and protect your network by monitoring and controlling incoming and outgoing traffic. They do this based on a set of predetermined security rules. The logs generated by FortiGate firewalls are rich with information about network activities and security events, making them indispensable for both security and DevOps teams in enterprises.
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Oberservo AI Demo Natural Language Searchable Data Lake

Jun 26, 2024 By Observo.ai In 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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