As reported by Elastic Security Labs, a new comparative analysis of six major SIEM vendors reveals a structural problem the industry has long glossed over: the asymmetry between data ingestion and data egress. Getting telemetry into a platform is frictionless. Getting it back out is where vendors erect toll booths.
This is not a technical limitation — it is a business model. And security teams are the ones who bear the operational cost.
Why This Matters More Than Vendors Admit
The Elastic analysis identifies three pillars of genuine data openness: no additional cost to access your own telemetry, full-fidelity export (not summarized or normalized subsets), and real-time availability. Most vendors fail at least one of these, and the consequences are direct:
The question every SOC should ask during procurement: "If I want my full-fidelity data, right now, with no additional licensing, what does that take?" If the vendor cannot answer cleanly, that is your answer.
Who Is Most Affected
Organizations running hybrid SOC architectures — where a primary SIEM feeds downstream analytics, threat hunting platforms, or AI/ML model training pipelines — are the most exposed. These teams need raw, real-time egress as an architectural requirement, not a premium feature. Enterprises with compliance obligations requiring long-term data portability face a secondary risk: if export is degraded or gated, they may find themselves unable to satisfy data mobility requirements during audits or vendor transitions.
The Broader Industry Implication
This analysis underscores a pattern we have tracked at Shield53: the security industry has normalized treating "open" as a marketing checkbox while monetizing the actual mechanics of openness. Sponsoring OASIS or ECS standards, publishing an API, and supporting an open schema are necessary but insufficient. True data portability means a customer can leave — operationally and financially — without penalty. Vendors who make egress expensive or slow are not offering openness; they are offering a guided tour of a walled garden.
The emergence of AI-driven security tooling compounds this problem. Training detection models, tuning LLM-based analyst assistants, and building autonomous SOC workflows all require high-fidelity, low-latency access to historical and live telemetry. Vendors who gate egress are effectively taxing their customers' AI initiatives.
Shield53 Recommendations
- Include egress SLAs in every RFP: Specify maximum export latency, guaranteed fidelity (full raw events, not summaries), and explicit cost structure for data retrieval. Make these contractual, not aspirational.
- Test egress before committing: During proof-of-value evaluations, actually pull a week of full-fidelity data through the vendor's export mechanism. Measure latency, completeness, and any additional licensing or API throttling encountered.
- Audit your current vendor: If you are already deployed, request documentation on export costs, rate limits, and data fidelity. Map this against your downstream tooling needs. You may be paying more than you realize.
- Architect for portability: Where possible, maintain a parallel data lake that ingests telemetry directly from sources, independent of your SIEM. This ensures you retain full-fidelity data regardless of vendor egress policies.
- Push vendors on AI-readiness: Ask explicitly whether full-fidelity, real-time egress is included in your tier or requires additional licensing. If the latter, factor that into TCO calculations for any AI security roadmap.
The data is yours. You paid to generate it, collect it, and store it. If your vendor makes you pay again to use it, the vendor is not a partner — they are a dependency. Evaluate accordingly.
