Your security estate is complex
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.
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.
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
Act
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
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.
One semantic layer
Every vendor. Every tool.
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.
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.
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
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.
We are the language cybersecurity LLMs require to operate.
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.
That means you can make the right security decisions, make them fast enough, and understand the why behind every decision. Not just alerts. Answers.
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.
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 ingest
✓ Fully open
ziggiz
✓ Significantly lower — pay for outcomes, not ingest
✓ Built-in
✓ Strong
✓ Days to weeks
✓ Streaming detections at ingest
✓ 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 ingest
The Competition
Limited to strong
High
Open / no vendor lock-in
ziggiz
✓ Fully open
The Competition
Partial–proprietary
Ready to see ziggiz in action?
Ready to see ziggiz in action?
See how.
Ready to see ziggiz in action?
Watch the demo
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