Simon @simbo - 2025 - SIEM-less security; Panacea or placebo
Security researchers examine technical aspects of Simon @simbo - 2025 - SIEM-less security; Panacea or placebo.
Summary
### Overview In this talk, Simon examines whether traditional, monolithic Security Information and Event Management (SIEM) systems function as a panacea or merely a placebo. Drawing from over eight years of experience across security governance, risk management, and security operations centers (SOCs) handling post-incident responses, Simon challenges the industry convention of deploying massive, centralized SIEM platforms simply to satisfy compliance mandates, supplier questionnaires, or marketing perceptions. He argues that a SIEM should be treated as an organizational capability derived from risk strategy rather than a monolithic technology platform.
### Key Topics - **Evolution of SIEM**: Simon outlines SIEM's progression from Gartner's coining of the term in 2005 (merging SIM and SEM) through scalable big data in SIEM 2.0 (2011–2012), cloud-based automation and partner connectors in SIEM 3.0, to current SIEM 4.0 discussions centered on large language models and AI. - **Drivers for SIEM Adoption**: Organizations often deploy SIEMs due to compliance checklists, customer questionnaires grading specific tooling (such as Splunk or LogRhythm), or general industry perception, rather than addressing actual risk. - **Capability vs. Technology**: Standards like ISO 27001, SOC 2, and PCI DSS do not mandate a branded SIEM platform; PCI only specifies centralized logging. A SIEM is fundamentally a capability defined by managing security events and supporting investigation and control monitoring. - **Tooling Overlap and Duplication**: Across modern environments (host protection/EDR/XDR, firewalls/IDS, SaaS apps, task management, and SIEM), features such as alert generation, ranking, enrichment, note-taking, storage, search/correlation, notifications, and workflow automation are redundantly duplicated. - **The Realities and Pitfalls of Monolithic SIEMs**: Challenges include maintenance overhead, constant API and data mapping changes, agent updates disrupting infrastructure, delayed partner-developed connectors, hidden cloud storage costs, and unfulfilled promises of the "single pane of glass" (SPOG).
### Technical Details - **Decoupled SIEM / System of Systems**: Aligning with Gartner's "decoupled SIEM" and service-oriented architecture (SOA) principles, Simon advocates treating security infrastructure as a "system of systems." Organizations should leverage the native strengths of individual tools and ignore redundant features rather than forcing all data into one centralized tool. - **Targeted Data Ingestion**: Storing all telemetry in expensive, hot SIEM data stores is unnecessary unless active detection models or immediate correlation use cases exist. While compliance mandates retaining logs for 12 to 24 months, older data can reside in cheaper non-hot storage. - **AI-Assisted Integrations**: Instead of waiting months for vendor-maintained partner connectors, teams can leverage AI tools to parse technical specifications and rapidly generate code to map and integrate new technologies. - **Agile Orchestration**: Emphasizing orchestration capabilities over rigid SOAR platforms allows security teams to adapt quickly to changing risk profiles and new enterprise technologies.
### Takeaways - Stop buying monolithic tools simply because an executive saw a new dashboard or contract renewal is approaching without a corresponding increase in risk profile. - Revisit organizational risk assessments and governance strategies to identify genuine security gaps, investing specifically in those areas. - Invest in team capabilities—training engineers in fundamental principles like Python, RegEx, and architecture design—enabling them to build flexible integrations rather than locking them into proprietary vendor platforms.
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