ARCHITECTURE

From telemetry to testimony, in one pipeline.

Every layer of threatDefendr sits on a single data fabric — so a signal becomes a detection, a detection becomes containment, and containment becomes court-ready evidence, without ever leaving the platform.

ARCHITECTURE STACKv3
Telemetry sources4 surfaces
Ingest & normalize18 PB/day
Unified graph1 schema
Behavioral modelsATT&CK
Policy & action<60s
Immutable ledgersigned
THE DATA FABRIC

One graph, not a dozen indices.

Most stacks scatter telemetry across siloed tools that never share context. We normalize every event into a single graph of entities and relationships the instant it arrives — so correlation is native, not a nightly batch job.

18 PB
Telemetry ingested per day
1
Schema across every surface
< 1s
From event to queryable
400B
Entity relationships live
THE FABRIC

One graph under everything.

Six layers, one model. Raw telemetry rises into a single live graph — every detection, action, and audit trail reads from the same fabric.

PLATFORM FABRIC · ONE DATA MODEL06 LAYERSSTREAMING
4 source classes → one graph · sub-second from event to detection
THE PIPELINE

Five stages. One continuous flow.

From the moment telemetry lands to the moment the audit record is sealed, every case moves through the same deterministic path.

01Ingest18 PB/day of endpoint, cloud, identity, and network telemetry, normalized into the graph on arrival.< 5s
02CorrelateBehavioral models score intent across entities and time, linking weak signals into one high-confidence picture.STREAMING
03DecideThe policy engine selects the right response for every case, gating blast-radius actions on a human.DETERMINISTIC
04ContainIsolation, revocation, and quarantine execute reversibly — analyst-in-the-loop where it matters.< 60s
05ProveEvery step is written to a tamper-evident ledger before anyone looks — audit-ready by default.IMMUTABLE
DETECTION ENGINE

Models that learn your estate, not a generic baseline.

Behavioral & UEBA

Per-entity baselines for users and machines, flagging the deviation that signals compromise.

Identity threat detection

Token theft, OAuth abuse, and privilege escalation caught across every connected app.

Cloud & container runtime

Workload, control-plane, and container behavior modeled in real time across every cloud.

Detections-as-code

Every rule versioned, peer-reviewed, tested, and auto-mapped to a MITRE ATT&CK technique.

SCALE & TRUST

Built to run where you run.

99.99%
Platform uptime, multi-region
< 60s
Detection to containment
8
Global data-residency regions
100%
Tenant-isolated & encrypted
RESIDENCY · ISOLATION · ENCRYPTION Single-tenant logical isolation, customer-managed keys, and regional data residency — detailed in our security program.
// ARCHITECTURE

From telemetry to testimony, in one pipeline.

Every layer of threatDefendr sits on a single data fabric — so a signal becomes a detection, a detection becomes containment, and containment becomes court-ready evidence, without ever leaving the platform.

// ARCHITECTURE STACKv3
Telemetry sources4 surfaces
Ingest & normalize18 PB/day
Unified graph1 schema
Behavioral modelsATT&CK
Policy & action<60s
Immutable ledgersigned
// THE DATA FABRIC

One graph, not a dozen indices.

Most stacks scatter telemetry across siloed tools that never share context. We normalize every event into a single graph of entities and relationships the instant it arrives — so correlation is native, not a nightly batch job.

18 PB
Telemetry ingested per day
1
Schema across every surface
< 1s
From event to queryable
400B
Entity relationships live
// THE PIPELINE

Five stages. One continuous flow.

From the moment telemetry lands to the moment the audit record is sealed, every case moves through the same deterministic path.

01Ingest18 PB/day of endpoint, cloud, identity, and network telemetry, normalized into the graph on arrival.< 5s
02CorrelateBehavioral models score intent across entities and time, linking weak signals into one high-confidence picture.STREAMING
03DecideThe policy engine selects the right response for every case, gating blast-radius actions on a human.DETERMINISTIC
04ContainIsolation, revocation, and quarantine execute reversibly — analyst-in-the-loop where it matters.< 60s
05ProveEvery step is written to a tamper-evident ledger before anyone looks — audit-ready by default.IMMUTABLE
// DETECTION ENGINE

Models that learn your estate, not a generic baseline.

Behavioral & UEBA

Per-entity baselines for users and machines, flagging the deviation that signals compromise.

Identity threat detection

Token theft, OAuth abuse, and privilege escalation caught across every connected app.

Cloud & container runtime

Workload, control-plane, and container behavior modeled in real time across every cloud.

Detections-as-code

Every rule versioned, peer-reviewed, tested, and auto-mapped to a MITRE ATT&CK technique.

// SCALE & TRUST

Built to run where you run.

99.99%
Platform uptime, multi-region
< 60s
Detection to containment
8
Global data-residency regions
100%
Tenant-isolated & encrypted
RESIDENCY · ISOLATION · ENCRYPTION Single-tenant logical isolation, customer-managed keys, and regional data residency — detailed in our security program.