# Context done right

The goal is not to store less data. The goal is to store data **intelligently**—right data, right storage, right locations, right use cases.

Get Abstracted

## THE DATA TARIFF

### 80%

of security data collected is never used for detection, investigation, or response

### This is not a tooling failure. It's a data strategy failure.

Most organizations are paying a **tremendous tariff on security data storage**. The majority of collected security data accumulates in what has become a data swamp—expensive to maintain, difficult to manage, and rarely delivering proportional value. Treating all data the same—ingesting it, indexing it, storing it in a single system—is what drives runaway costs and architectural rigidity.

Get the data strategy ebook

### Right data, right tier, right cost

Composable SIEM enables **tiered and federated retention strategies**—keeping high-value data close to detection engines while placing lower-value or regulatory data into cost-efficient storage that remains accessible when needed.

#### ReAl-TIME Storage

Real-time detection data. Indexed, searchable, immediately available for active threat detection and streaming analytics.

FOUND
QUERY → 1.2s

#### Hot Storage

Real-time detection data. Indexed, searchable, immediately available for active threat detection and streaming analytics.

$0.02/GBCOMPRESSED · INDEXED

#### WARM Storage

Investment and hunting data. Accessible for analyst workflows, historical correlation, and incident response without premium storage costs.

### Retention aligned to outcomes

#### Data Residency Requirements

Real-time detection data. Indexed, searchable, immediately available for active threat detection and streaming analytics.

In multi-cloud and hybrid environments, moving data between regions and providers adds real cost. Intelligent retention minimizes unnecessary data movement.

### Latency & Access Patterns

Data supporting real-time detection needs different access characteristics than data retained for annual audits. Align storage performance to actual use.

#### Use Case Alignment

Distinguish between data required for active threat detection and data retained for regulatory, audit, or compliance purposes. Each has different cost and access profiles.

> “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.”

Head of Security Operations

> “As
> a
> rapidly
> growing
> startup
> servicing
> clients
> in
> both
> the
> private
> and
> public
> sector,
> Abstract
> has
> proven
> itself
> an
> excellent
> partner
> in
> allowing
> us
> scale
> our
> operations
> at
> a
> cost
> effective
> pace
> without
> worry
> of
> losing
> critical
> visibility
> and
> detective
> capabilities.”

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.”

Jonathan Kovacs

OmegaBlack

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