Signalat speed

Detection is about immediacy—identifying threats while they are still unfolding, when response still matters and context hasn't gone cold.

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Trusted by leaders and disruptors

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the right detection model for the right moment

In-Stream Detection

Regain control over where data lands, how it's shaped, and what it costs—before a single byte hits storage or analytics.

Historical Detection

Low-and-slow analysis, retroactive detection, investigations, and hypothesis testing against stored data. Find what others missed.

DECOUPLED Detection

Execute analytics where data already lives—without forcing wholesale ingestion. Detection logic goes to the data, not the other way around.

Detection is no longer bound to storage. It is a capability that can be composed, scaled, and evolved independently.

The shift is subtle but important. Modern security operations rely on multiple detection models, each optimized for a different purpose and time horizon. In a composable SIEM, detection logic is portable—it can be pushed into the data stream, executed against historical stores, or federated across external systems.

portable detection logic

Push detection into the data stream, execute against historical stores, or federate across external systems—without rewriting rules.

Decoupled from Storage

Detection doesn't require that all data be centralized, indexed, or treated equally. It needs reliable, consistent data—wherever it lives.

Outcomes Over Ingestion

Prioritize signal quality, detection coverage, and response speed—not the volume of data being collected and indexed.

Independently Scalable

Scale detection independently from collection and retention. Add new engines, new models, new logic—without re-architecting the stack.

“Our old model was 'log everything and sort it out later.' That worked until storage costs and performance caught up to us. We needed a smarter, simpler way to move data.”

Scott Belisle
Director of technical security at Altana

“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.”

Jonathan Kovacs
OmegaBlack

“There had been multiple attempts to build visibility into our systems. What we inherited was outdated, overlapping, and broken logging infrastructure.”

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