Elastic Security

Cybersecurity spending often fails to produce an easily quantifiable return: despite rising investment in tools, breaches and incidents keep growing. A common explanation is the security skills gap, but the shortage is driven by deeper structural forces: modern IT environments have become highly heterogeneous and distributed due to cloud adoption, manufacturing digitalization, and remote work, which expands both the attack surface and incident sophistication. At the same time, large enterprises frequently run 100+ security products owned by disconnected teams, producing massive security telemetry that creates unpredictable storage costs and forces organizations to reduce data collection and retention. This creates a dilemma between limiting coverage (and missing attackers) or collecting everything (and overwhelming analysts with alerts).

Elastic proposes a vertically integrated alternative: an open, extensible platform that can replace or unify multiple specialized tools while scaling across on-prem and cloud infrastructure. Building on the Elastic Stack—Elasticsearch, Kibana, Logstash, and Beats (now a unified agent)—Elastic offers ingestion, processing, search, and visualization at scale with a pricing model based on hardware resources rather than ingestion rate, user count, or monitored systems. Elastic’s strategy emphasizes a single repository for operational and security telemetry, supported by the Elastic Common Schema (ECS) for consistent data structures and improved cross-source correlation.

Elastic Security, released in 2019, combines SIEM capabilities with endpoint protection and EDR telemetry (from the Endgame acquisition), enhanced by built-in machine learning for anomaly detection and risk scoring aligned to frameworks such as MITRE ATT&CK. It includes Event Query Language (EQL) for advanced hunting and 300+ prebuilt detection rules, while relying on integrations with third-party incident response and SOAR tools for deeper response workflows. The platform is positioned as high-performance, scalable, and flexible, though not yet fully feature-parity with long-established enterprise SIEMs.

• Modern corporate networks are becoming more heterogeneous, distributed, and open due to cloud services, manufacturing digitalization, and increased remote work.
• A large enterprise may have over 100 security tools operated by disjointed teams.
• Security telemetry volume can create unpredictable storage costs that lead companies to limit collection and retention.
• Elastic is headquartered in Mountain View, California and was founded in 2012.
• Elastic released its vertically integrated security solution in 2019.
• Elasticsearch began in 2010 as an open-source search engine designed for real-time search in massive distributed deployments.
• Elasticsearch became the most popular search engine according to the DB-Engines ranking.
• Elastic SIEM supports Event Query Language (EQL) for complex hunting and detection queries.
• More than 300 prebuilt detection rules are available at install time.
• As of the 7.10 release, endpoint security capabilities are offered at no extra cost, including in the free basic edition.

• “Modern corporate networks are becoming more heterogeneous, distributed, and open.”
• “Organizations are facing a profoundly difficult dichotomy.”
• “A potential alternative approach… would be a vertically integrated solution.”
• “Elastic’s approach is different: the primary idea is to make Elastic Stack the single repository for all types of telemetry data.”
• “Converting such artifacts as user identities, network addresses or event types at ingest time can greatly improve the efficiency of data analytics, search, and visualization later.”
• “This consolidated view of operational and security events can provide unique insights during, say, a forensic investigation of a data breach.”
• “Using machine learning to analyze and correlate security events helps not just to reduce the number of false positives but to identify previously unknown behaviors.”
• “Thanks to the highly optimized underlying search engine and resource-based pricing, the only practical limitation… is the budget allocated to it.”
• “Built on a proven, flexible, and distributed open-source foundation, it represents an update of the aging ‘traditional SIEM’ concept free from technical debt.”
• “Unique core design principles might require a major rethinking of the overall security analytics strategy when switching from a traditional SIEM.”