ARMADO develops detection pipelines that normalize, enrich, and inspect logs from various security tools and cloud applications before they reach the SIEM stack. This technology enables organizations to triage and investigate security incidents ten times faster, improving the efficiency of their security operations and reducing wasted data spend.
Funding
$25K raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
Security Information and Event Management (SIEM) systems often receive a high volume of unfiltered and unnormalized logs from various security tools and cloud applications, leading to alert fatigue, slow incident response times, and wasted data storage costs. Security analysts struggle to efficiently triage and investigate incidents due to the lack of contextualized and enriched data within their SIEM.
Solution
ARMADO provides a detection pipeline that sits in front of existing SIEM infrastructure to normalize, enrich, and inspect log data from diverse security tools and cloud applications. This pre-processing approach enables security teams to triage and investigate security incidents more rapidly by providing contextualized and actionable intelligence. By filtering and enriching data before it reaches the SIEM, ARMADO reduces the volume of irrelevant logs, optimizes data storage, and improves the overall efficiency of security operations. The platform also facilitates the creation of real-time detections that can identify threats that might otherwise be missed by traditional SIEM rules.
Target Audience
ARMADO targets security operations centers (SOCs), managed security service providers (MSSPs), and enterprise security teams that are looking to improve the efficiency of their SIEM deployments and reduce the time it takes to detect and respond to security incidents.
Features
- Flexible detection pipelines for normalizing, enriching, and inspecting log data from various sources.
- Real-time detection engine for building custom rules and identifying threats before they reach the SIEM.
- Data lake functionality for storing and indexing security data for long-term analysis and investigation.
- Powerful search engine for quickly finding relevant information within the security data lake.
- Integrations with a wide range of security tools and cloud applications, including EDR, network security, identity management, and SaaS applications.
- Customizable filters for reducing noise and focusing on high-priority alerts.
- Threat intelligence integration for enriching log data with contextual information about known threats.