Why Porifera

The Hidden Cost Center in Your Infrastructure

Enterprise data pipelines are fragmented, vendor-controlled, and bleeding money — and no one is looking at the root cause. The collection layer, hidden under vendor agents and duplicated pipelines, silently drives up cost across every platform you run. Porifera was built to fix this — at the foundation, before any system ingests it.

The Problem

The Data Foundation Is Broken

Traditional data infrastructure forces enterprises to adopt multiple collectors and vendor-specific agents, while paying for every byte of data whether it is valuable or not. This results in:

This results in:

  • Paying for data you didn’t choose to send — every platform that charges by volume bills you for heartbeats, debug traces, and routine confirmations at the same rate as a real security event or operational signal.
  • Same data collected multiple times — different systems collect independently in different formats, creating duplicated pipelines and costs that compound every time you add a new platform.
  • IT, OT, and IoT in separate silos — no unifying collection layer brings them together. Security, operations, and analytics teams each see a different, incomplete picture.
  • Vendors own your collection layer — downstream platforms dictate how data is collected, filtered, and formatted. You own the infrastructure but not the data leaving it.
  • Permanent cost inflation — redundant and irrelevant data reaches your SIEM, AI, and analytics platforms before anyone can stop it — inflating ingestion costs and degrading output quality every year.

Porifera was created to fix that.

The Resolution

What changes when you control the data upstream

Cost Reduction

Porifera intercepts data before ingestion and applies filtering, normalisation, and routing rules at the collection point — where decisions cost nothing. The result is a smaller, cleaner stream reaching each destination at a fraction of the ingestion cost, with no reduction in coverage or analytical value.

Operational Visibility

Porifera collects from every source type using native protocols, normalises the data into a consistent structure, and delivers it to every system simultaneously. Security, operations, and analytics all see the same data, from the same source, in the same format, at the same time.

Data Ownership & Control

When a vendor’s agent defines how your data is collected, you have already lost control of your data architecture. Porifera runs inside your infrastructure, on your terms. You define the schemas, the routing rules, and the destinations. No vendor owns the pipe between your infrastructure and the systems consuming it.

Status quo, others, and Porifera

How Porifera compares

Comparison Factor Status Quo Point Solutions Porifera
Collection coverage Multiple vendor agents — one per platform, IT-only in most cases Single pipeline layer — IT logs only, no OT or IoT support One agent across IT, OT, and IoT — all sources, all protocols
Data normalisation Each agent uses its own schema — no consistency across systems Normalises supported source types — gaps need custom engineering Full normalisation at collection — consistent schema across all sources
Ingestion cost Scales with every new device, workload, and application Reduces volume for IT — OT and IoT cost unaddressed Fixed asset-based pricing — ingestion volume does not affect licence cost
Vendor lock-in Each platform owns its collector — switching means replacing every agent Reduces lock-in downstream — vendor agents still control what enters You control collection, schema, and routing — no vendor owns the pipe
Multi-destination delivery One destination per collector — no simultaneous routing Routes to multiple IT destinations — not across OT and IoT SIEM, AI, digital twin, historian, and data lake simultaneously
Data ownership Vendor defines format and access — you pay for what they decide to send You control the pipeline — vendor agents still define what enters it You define schemas, routing rules, and destinations — yours entirely
Deployment scope Separate deployment per platform, per team, per environment One pipeline deployment — separate OT and IoT collection still required One deployment covers IT, OT, IoT, cloud, and edge

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