Your security estate is complex

Your data foundation doesn't have to be

Your data
foundation doesn't
have to be

Your data foundation
doesn't have to be

ziggiz handles ingestion, normalization, enrichment, and routing — so your security stack gets better data without a data engineering team to maintain it. No ripping out your existing stack. No months-long implementation.

The ziggiz difference

The data engineering your team shouldn’t be doing — handled. Every source ingested. Every vendor normalized. Every alert enriched before your team sees it.

The ziggiz difference

The data engineering your team shouldn’t be doing — handled. Every source ingested. Every vendor normalized. Every alert enriched before your team sees it.

Collect

Courier clusters collect data from any source — cloud, SaaS, on-prem — and deliver real-time telemetry on latency and volume so data quality is never a mystery.

Structure

Act

Collect

Courier clusters collect data from any source — cloud, SaaS, on-prem — and deliver real-time telemetry on latency and volume so data quality is never a mystery.

Structure

The semantic layer maps raw data from every vendor to a single unified model. Build one detection, run it everywhere. When schemas change, your playbooks don't break.

Act

Detections run on the stream at ingest. Matching events are enriched with device, identity, and activity context before being forwarded to your existing tools.

Collect

Courier clusters collect data from any source — cloud, SaaS, on-prem — and deliver real-time telemetry on latency and volume so data quality is never a mystery.

Structure

Act

One semantic layer

That ends here.

The intelligence community solved this problem long ago — collect, structure, analyze, act. ziggiz applies that same proven method to your security data estate. Every vendor maps to one unified model. What you build today works tomorrow — no matter what changes underneath it.

One semantic layer

Every vendor. Every tool.

AI-Ready by Design

Most platforms bolt AI on top of fragmented, unnormalized data and call it intelligence. ziggiz builds the semantic layer first — in-stream and in storage — so every AI tool, every automation, and every detection runs on complete, structured, and explainable data.

AI-Ready by Design

We are the language cybersecurity LLMs require to operate.

That means you can make the right security decisions, make them fast enough, and understand the why behind every decision. Not just alerts. Answers.

In-stream analytics

Detections and analytics run on the data stream at ingest — not hours later on stale exports.

Complete data store

Every event, retained and queryable. No sampling. No gaps. Full context for AI and human analysts alike.

Complete semantic layer

Normalized, enriched, and explainable — in-stream and in storage. AI tools get structured data they can actually reason over.

Not just another security tool

That ends here.

Legacy platforms were built for a different era of data. ziggiz was built for the scale, complexity, and demands of today’s AI-driven environments.

Not just another security tool

A new data foundation.

Legacy platforms were built for a different era of data. ziggiz was built for the scale, complexity, and demands of today’s AI-driven environments.

VS

Critical

Total cost of ownership

Critical

AI-ready data plane

Critical

Data collection & semantic layers

Critical

Time to value

High

Detection engineering

High

Open / no vendor lock-in

Ziggiz

✓ Significantly lower — pay for outcomes, not ingest

✓ Built-in

✓ Strong

✓ Days to weeks

✓ Streaming detections at inges

✓ Fully open

Ziggiz

✓ Significantly lower — pay for outcomes, not ingest

✓ Built-in

✓ Strong

✓ Days to weeks

✓ Streaming detections at inges

✓ Fully open

The Competition

Moderate–high

Not supported, or bolt-on only

Limited–partial

Weeks to months

Limited to strong

Partial–proprietary

The Competition

Moderate–high

Not supported, or bolt-on only

Limited–partial

Weeks to months

Limited to strong

Partial–proprietary

Critical

Total cost of ownership

Ziggiz

✓ Significantly lower — pay for outcomes, not ingest

The Competition

Moderate–high

Critical

AI-ready data plane

Ziggiz

✓ Built-in

The Competition

Not supported, or bolt-on only

Critical

Data collection & semantic layers

Ziggiz

✓ Strong

The Competition

Limited–partial

Critical

Time to value

Ziggiz

✓ Days to weeks

The Competition

Weeks to months

High

Detection engineering

Ziggiz

✓ Streaming detections at inges

The Competition

Limited to strong

High

Open / no vendor lock-in

Ziggiz

✓ Fully open

The Competition

Partial–proprietary

Your security estate is complex

Your data foundation doesn't have to be

Your data
foundation doesn't
have to be

Your data foundation
doesn't have to be

The ziggiz difference

The ziggiz difference

Collect

Structure

Act

Collect

Structure

Act

Collect

Structure

Act

One semantic layer

That ends here.

One semantic layer

Every vendor. Every tool.

AI-Ready by Design

AI-Ready by Design

In-stream analytics

Complete data store

Complete semantic layer

Not just another security tool

That ends here.

Not just another security tool

A new data foundation.

VS

Ziggiz

Ziggiz

The Competition

The Competition

Ready to see ziggiz in action?

Ready to see ziggiz in action?

See how.

Ready to see ziggiz in action?

Watch the demo