Newsletter Article

Dependency Starts Earlier Than Most Organisations Realise

When organisations think about what a SIEM change would involve, they usually picture dashboards, queries and detection rules.

The deeper dependency sits underneath them.

Consider a traditional migration. An organisation decides to replace its SIEM. It then discovers that the old environment also owns, or heavily influences, endpoint log collectors, forwarders, parsing rules, schemas, routing, retention, historical storage, search syntax, detection engineering, investigation workflows and AI investigation functionality.

What appeared to be a SIEM migration becomes a security-data migration.

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The problem is assuming every log needs to be processed, retained and queried in exactly the same place.

Layer What creates the dependency The test to run before you renew
Collection Vendor-specific agents and forwarders deployed across the endpoint estate Can the existing agents be pointed at a new destination with a configuration change, or does it require redeployment?
Parsing & schema Normalisation performed at ingest, in a proprietary model, and stored in that model Can you export twelve months of data in an open format another platform can parse without rebuilding every parser?
Detection content Rules, searches and dashboards written in a proprietary query language (SPL, KQL, AQL, EQL) How many detections exist, and what is the realistic person-effort to re-express them elsewhere?
Historical archive Old data held in a proprietary storage format, or accessible only while the licence is live After termination, can you still search it, or only restore it, and to what?
Integration surface Ticketing, SOAR, enrichment and case management wired to platform-specific APIs How many integrations break on cutover day, and who rebuilds them?
AI & investigation Copilots, assistants and natural-language search bound to the platform’s own data model Does the capability survive the migration, or does it end with the contract?

This is why separating collection from analytics matters. TechTarget has reported on CISOs actively decoupling security log data feeds from their SIEMs, establishing an independent, enterprise-controlled data layer between the systems producing evidence and the platforms consuming it, and feeding the SIEM from that layer. The reported benefits are precise: complete control of filtering per destination, and complete control of retention horizons per source.

RUN THE COST-OF-CHANGE CALCULATION BEFORE THE RENEWAL, NOT DURING THE MIGRATION

A useful discipline for renewal season is to estimate the cost of change explicitly:

  • Agent redeployment effort across the endpoint estate
  • Parser and normalisation rebuild
  • Detection content rewrite, including validation and tuning
  • Historical data conversion, or the cost of a dual-licence overlap period
  • Integration rework across ticketing, SOAR and enrichment
  • Analyst retraining and the productivity dip during transition

If that figure exceeds the annual licence, the renewal is being decided by switching cost rather than by fit. That is worth knowing before you sit down at the table, whether you end up renewing or not.

The question CISOs and security architects should therefore ask is:

“If we decided to change our SIEM tomorrow, what else would we have to change?”

If the answer includes thousands of endpoints, the collection architecture has become part of the dependency, and that is an architecture question, not a vendor one.

With Snare, it does not have to.

Snare creates an independent layer between the systems producing security evidence and the platforms consuming it.

  • Snare Agent can remain deployed across the environment, unchanged.
  • Snare Central can continue managing collection policy and retained evidence.
  • Snare Reflector can change the downstream routing.

The organisation can begin sending data to the new SIEM. Or send data to both SIEMs during validation. Or route different classes of data to SIEM, archive, cloud storage and analytics destinations simultaneously.

Without rebuilding the endpoint collection estate.

Snare supports standard formats including Syslog, JSON and CEF, alongside integrations with major platforms including Splunk, Microsoft Sentinel, QRadar, Elastic and Securonix. Snare Reflector supports multiple simultaneous destinations with independent delivery queues, 17 different log format and destination-specific filtering and transformation, which is what makes parallel SIEM operation during a migration possible without touching endpoint agent configuration.

Change the destination.

Not the evidence architecture.

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Keep the Logs. Control the Cost. Turn Security Data Into Intelligence.The Security Data Cost Problem Is Really an Architecture Problem
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