Hydrolix launches Security Data Layer for cheaper long-term security telemetry storage
Hydrolix on July 30, 2026 introduced a Security Data Layer aimed at giving security teams and MSSPs full-fidelity telemetry access without forcing SIEM budgets higher. The platform is built to keep high-volume data hot, searchable, and available for investigations for months or years, while preserving existing tools and workflows.
Why it matters: - Security teams often shorten retention windows or move data to cold storage because SIEM costs rise with ingest. - That tradeoff can leave investigators without the evidence they need weeks or months later. - Hydrolix is positioning the Security Data Layer as a way to keep more telemetry available without replacing existing SIEM investments. - The goal is faster investigations, stronger root-cause analysis, and better incident containment.
What happened: - Hydrolix announced the Hydrolix Security Data Layer on July 30, 2026. - The product is built as a data layer beneath modern SIEM and agentic SecOps platforms. - Hydrolix says the layer connects through MCP where applicable and offers native integrations for federated environments such as Splunk. - The company says the product is available now. - Hydrolix and Monad experts, including Hydrolix CEO and Co-founder Marty Kagan, will be at Black Hat USA for interviews.
The details: - Hydrolix says the Security Data Layer ingests petabyte volumes of telemetry, compresses data by up to 50x, and stores it in the customer’s own cloud. - The platform keeps data immediately queryable at any age. - Security teams can keep using SIEMs and analyst tools for detection and daily workflows. - High-volume sources can include firewall, network flow, DNS, EDR, proxy, and cloud logs. - Monad provides a tight integration for next-generation agentic security operations. - Monad’s network includes more than 340 integrations. - Hydrolix says the platform keeps months or years of telemetry available for investigations and audits. - The company says the data layer supports full-fidelity, sub-second-searchable data at a lower cost than storing all telemetry directly in a SIEM.
Between the lines: - The launch reflects a broader shift in security operations: retention has become a budget problem, not just a technical one. - Hydrolix is not trying to replace Splunk or other SIEM tools. - The strategy is to keep detection and analyst workflows in place while moving bulk retention to a separate high-performance layer. - That approach targets the gap between fast lookups and long-horizon correlation searches, which matter most in extended investigations.
The details: - Hydrolix worked with RAD, a European managed security service provider, Cisco/Splunk, and Monad on a real-world evaluation. - The test used about two million Palo Alto firewall log events. - RAD used its own production detection logic. - Hydraolix retained the telemetry for low-cost, full-fidelity storage and used the Hydrolix Search for Splunk connector for querying. - For broad correlation searches, Hydrolix returned results in 1.6 seconds. - The test ran with column indexing intentionally disabled. - RAD said the evaluation showed it could keep more data and still get analysts to root cause faster from inside Splunk. - RAD also found that Splunk remains faster for highly targeted, single-record lookups.
What's next: - Hydrolix will use Black Hat USA to brief customers and partners on the Security Data Layer. - The company is likely to lean on the RAD evaluation as proof that long-term retention and fast investigations can coexist. - The product will compete on whether security teams see enough cost relief and query speed to move high-volume telemetry out of the SIEM.
The bottom line: - Hydrolix is betting security teams will pay for full-fidelity history if they can keep existing tools, cut storage costs, and still search old telemetry in seconds.
Disclaimer: This article was produced by AGP Wire with the assistance of artificial intelligence based on original source content and has been refined to improve clarity, structure, and readability. This content is provided on an “as is” basis. While care has been taken in its preparation, it may contain inaccuracies or omissions, and readers should consult the original source and independently verify key information where appropriate. This content is for informational purposes only and does not constitute legal, financial, investment, or other professional advice.
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