Cerbi vs Elastic

Elastic stores and searches your logs. Cerbi governs what those logscontain.

Elastic is a destination. Cerbi is a source-side control. They solve different problems at different points in your logging architecture. Used together, Elastic indexes clean, compliant, schema-valid log data.

The problem

Elasticsearch indexes whatever it receives

Elasticsearch is designed to ingest and index any structured or semi-structured data you send it. It does not inspect field values for PII, enforce required fields, or block non-compliant events. That is not what it is for. Governance has to happen before data reaches Logstash, Elastic Agent, or the Elasticsearch ingest pipeline.

Before and after

Without Cerbi
01
ssn="078-05-1120"PII
02
token="eyJhbGci..."JWT
03
userId="usr_8472hx-prod"ID
04
event="OrderPaid"
05
service="payment-svc"
With Cerbi
01
ssn="[REDACTED]"PII removed
02
token="[REDACTED]"JWT blocked
03
userId="[MASKED]"ID masked
04
event="OrderPaid"
05
service="payment-svc"

// Governance runs at emission time, inside the application process. The sink receives only governed output.

Architecture

Cerbi governs before Logstash or Elastic Agent

CerbiStream intercepts log events inside your application process. Governed output is what reaches Logstash, Elastic Agent, or the Elasticsearch Bulk API. Your index mappings, ILM policies, and Kibana dashboards all operate on clean data.

Application

emits log event

Logger framework

MEL / Serilog / NLog

CERBI

CerbiStream

governs at emission

Logstash / Elastic Agent

ships governed output

Elasticsearch

indexes governed data

// Cerbi runs inside your process. No sidecar, no agent, no additional network hop.

Why existing tools are too late

Logstash filters and Elasticsearch ingest pipelines act after data arrives

Logstash filters run on data that has already left the application

Logstash's mutate, ruby, and drop filters can transform and remove fields, but only on events that have already been transmitted from the source application. Sensitive data has already crossed a network boundary before any Logstash filter executes.

Elasticsearch ingest pipelines process at index time, not at source

Ingest pipelines run on the Elasticsearch node when a document is indexed. The raw document - including any sensitive fields - has already been transmitted to the Elasticsearch cluster.

Elastic does not enforce application-level schemas

Elasticsearch can enforce field types via index mappings, but it does not prevent applications from emitting events with missing required fields or non-compliant structures. Schema enforcement has to happen at the source.

How Cerbi fits with your stack

Cerbi works with all Elastic-compatible log shippers

Works with Logstash

Serilog Logstash sink and NLog Logstash target receive governed output from CerbiStream. Logstash pipeline configuration does not change.

Works with Elastic Agent

Application logs governed by Cerbi are written to files or stdout. Elastic Agent collects governed output.

Works with Elasticsearch Bulk API

Direct-to-Elasticsearch sinks (e.g. Serilog.Sinks.Elasticsearch) receive governed events from CerbiStream.

Kibana dashboards stay accurate

When required fields are enforced at emission time, Kibana dashboards built on those fields always have data to display.

Reduces Elasticsearch storage cost

Filtering verbose and non-compliant events at emission time reduces the volume indexed by Elasticsearch.

Complements ECS (Elastic Common Schema)

Use Cerbi governance rules to enforce ECS-required fields (event.kind, service.name, trace.id) at emission time.

Comparison

Cerbi vs Elastic - governance capabilities

CapabilityCerbiElastic Stack
In-process PII / PHI redaction-
Source-side log governance-
Post-ingestion field redaction

Data has already reached Elasticsearch at that point

-Ingest pipelines
Log search and analytics-
Required field enforcement at emission-
Kibana dashboards-
Policy as code (cerbi_governance.json)-
CI / CD governance validation-
Enforces ECS fields at source

Elastic enforces field types at index, not at emission

-
Deployed in your Azure subscription-

Common questions

Frequently asked

Stop sensitive data reaching Elasticsearch at the source

Install CerbiStream in under ten minutes. No infrastructure changes. No pipeline configuration. Governance runs inside your process from the first log event.

// local demo path: install from NuGet, PyPI, Maven, or the Go module registry - no account required

NEXTChoose your next proof

Use CerbiStream inside selected applications, Cerbi Gateway at the OpenTelemetry boundary, or both. CerbiShield keeps policy, rollout, violations, audit, and evidence under one governance program.

One initial workload/Customer-hosted in Azure/Existing destinations remain
Cerbi vs Elastic | Cerbi