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Reduce Data Volume & Costs

Filter, route, and store smarter.

Stop Paying for Data You Don't Need

Your SIEM bill is driven by data volume, not data value. Abstract's data fabric filters, aggregates, and routes data before it ever reaches storage, so you only ingest what actually matters for detection and response.

Cut Noise Without Cutting Coverage

Abstract reduces data volume by 70–80% on average — not by blindly dropping events, but by filtering based on actionable relevance and risk. High-signal data flows to your SIEM. Everything else can go to cost-efficient cold storage, and be instantly searchable when you need it.

Features

Data Reduction & Management
Intelligent Cold Storage

Data Reduction & Management

Filter Events Before They Hit Your SIEM or Data Lake 

Abstract processes data in-stream — dropping noise, deduplicating, and aggregating redundant events before they reach any destination. Filtering can happen even earlier, at the source itself, before data is ever transmitted.

Run Detections on High-Volume Sources Without Paying to Store Them 

Get the signal without the high storage bill.. Abstract can run streaming detections on super-voluminous sources like VPC flow logs, generating fully enriched, correlated alerts that route to your SIEM for further analysis, while the raw telemetry goes straight to more cost-effective storage. 

Identify Which Data Sources Are Burning Your Budget

Get per-field visibility into which event types and sources consume the most volume. Make informed decisions about what to reduce — before committing to a routing change.

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Intelligent Cold Storage

Store Years of Telemetry Without Rehydration Fees

LakeVilla is Abstract's cloud-native cold storage layer built on AWS S3, Azure Blob, or Google Cloud Storage. Query archived data instantly with no rehydration steps and no retrieval charges.

Replay Archived Logs Through Live Detection Workflows

Cold data doesn't have to stay cold. Send an archived dataset back through Abstract's detection engine for retroactive threat hunting, rule tuning, or validating new detections against historical events.

Normalize and Enrich Before Archiving — Not After

Data is pre-processed by Abstract's pipeline before it reaches a data lake: aggregated, normalized, schema-aligned, and threat-enriched. When you need it, it's already query-ready. No data swamp

“Time is our most valuable resource. Abstract gives us time back — in deployment, in operations, in impact.”
Pablo Quiros
Juul Labs
“This isn’t just another tool — it’s a true force multiplier. Abstract has helped us rethink how we approach security operations, allowing us to be proactive rather than reactive.”
Pablo Quiros
Juul Labs
“Abstract Security has completely redefined security platforms.”
Jonathan Kovacs
OmegaBlack
“There had been multiple attempts to build visibility into our systems. What we inherited was outdated, overlapping, and broken logging infrastructure.”
Pablo Quiros,
Juul Labs
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‍ABSTRACTED

We would love you to be a part of the journey, lets grab a coffee, have a chat, and set up a demo!

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Your friends at Abstract AKA one of the most fun teams in cyber ;)

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