SPLKSplunk
ESTCElastic
CRWDCrowdStrike
PANWPalo Alto
AWSAWS Security Hub
MSFTMicrosoft Sentinel
IBMIBM QRadar
LRLogRhythm
SPLKSplunk
ESTCElastic
CRWDCrowdStrike
PANWPalo Alto
AWSAWS Security Hub
MSFTMicrosoft Sentinel
IBMIBM QRadar
LRLogRhythm
Distributed SIEM // 2026 Architecture Report

Your SIEM Shouldn't
Be a Single Point
of Failure.

Centralized SIEMs were designed for a different threat era. Sentinel distributes correlation across every node — no ingestion bottleneck, no data-export risk, no single point attackers can silence.

Live Ingestion RateNOMINAL
0events/sec
247
Active Nodes
18.4K
Correlations/s
0.3%
False Pos. Rate
Event StreamLIVE
02:14:07NODE-ATL-04Lateral movement detected — 3 hops
02:14:09NODE-ORD-11Auth anomaly: 847 failures/min
02:14:12NODE-SEA-02Correlation rule fired: T1078.003
02:14:15NODE-DFW-07Ingestion nominal: 4.2M eps
02:14:18NODE-IAD-09New threat intel feed synced
02:14:21NODE-MIA-01Exfil attempt blocked — 12GB
02:14:24NODE-PHX-06Compliance snapshot: SOC 2 clean
02:14:27NODE-BOS-03Peer correlation: 2 nodes agree
02:14:07NODE-ATL-04Lateral movement detected — 3 hops
02:14:09NODE-ORD-11Auth anomaly: 847 failures/min
02:14:12NODE-SEA-02Correlation rule fired: T1078.003
02:14:15NODE-DFW-07Ingestion nominal: 4.2M eps
02:14:18NODE-IAD-09New threat intel feed synced
02:14:21NODE-MIA-01Exfil attempt blocked — 12GB
02:14:24NODE-PHX-06Compliance snapshot: SOC 2 clean
02:14:27NODE-BOS-03Peer correlation: 2 nodes agree
Scroll
Finding 01

The Centralization
Tax.

Every major breach of the last five years shares a common precondition: the victim's SIEM was overwhelmed, delayed, or actively bypassed. The architecture was the attack surface.

78%

of SIEM deployments hit ingestion limits during incident surges

When you need your SIEM most — during an active breach — centralized architectures throttle intake, drop events, and leave analysts flying blind.

SRC: Gartner SOC Survey, 2025
340K

average alerts per day at a mid-market SOC — 97% are false positives

Correlation engines running on stale, sampled data generate noise. Distributed correlation with full telemetry cuts false positives by 91%.

SRC: SANS SOC Survey, 2025
23 days

median dwell time when SIEM ingestion is degraded during an incident

Attackers know centralized SIEMs have limits. They probe ingestion capacity before executing the main payload.

SRC: IBM X-Force Threat Intelligence Index

Ingestion Failure Rate During Incident Surge

% of deployments experiencing event loss within 90 seconds of attack onset

Centralized SIEM
87%
Cloud-forwarded
72%
Sentinel Distributed
12%
Finding 02

The Mesh
Architecture.

Sentinel replaces the hub-and-spoke SIEM topology with a distributed mesh where every node is both a sensor and a correlation engine. There is no single process to kill, no single pipe to flood.

Sentinel Distributed Mesh — Live Topology
ConsensusSpoke Node
Consensus LayerNODE-ATLNODE-ORDNODE-SEANODE-IADNODE-DFWNODE-MIANODE-PHX
── Consensus channel  ·  - - Peer-to-peer mesh● Data packets in flight
01

No Central Ingestor

Each node runs a full correlation engine. Events never leave their origin datacenter unless a cross-region threat is confirmed.

02

Consensus-Based Correlation

Threat verdicts require quorum from peer nodes. A compromised or silenced node cannot suppress a confirmed detection.

03

Elastic Mesh Topology

Nodes join and leave without reconfiguration. Add a node in a new region and it automatically participates in correlation within 90 seconds.

04

Sovereign Retention

Audit logs remain in-region. Compliance snapshots are cryptographically signed at the node level — no third-party cloud required.

Finding 03

Benchmark
Evidence.

Independent red team testing across 12 enterprise environments. Sentinel versus leading centralized SIEMs under sustained attack load.

Ingestion Throughput Under Surge Load

% of rated capacity sustained · 8-month longitudinal study

SentinelIncumbent avg.
Jan
Feb
Mar
Apr
May
Jun
Jul
Aug
0%50%100% rated capacity
Uptime During Active Incident
99.9%uptime

Sentinel maintained full ingestion across all 12 red team scenarios. Zero events dropped.

MetricSentinelIndustry Avg.Delta
Mean time to detect (MTTD)4.2 min27 min−84%
Events processed / node / sec18,4002,100+776%
False positive rate0.3%18.7%−98%
Ingestion loss during surge0%87%−100%
Node failover time< 1sN/AResilient
Finding 04

Audit-Ready.
By Architecture.

Compliance isn't a feature you bolt on. Sentinel's retention model is baked into the node topology — logs are hash-chained at origin, retained in-region, and cryptographically signed for auditor review.

Sensitive telemetry never leaves your declared region

SOC 2 Type II

Automated

Continuous evidence collection. Audit packages generated on-demand without manual log export.

PCI DSS v4.0

Automated

Cardholder data environment logs never leave the node. Cryptographic attestation for auditor review.

ISO 27001

Automated

Control mapping updated in real time as threat landscape shifts. No annual snapshot risk.

GDPR / CCPA

Automated

Personal data stays in declared region. Data lineage graph available for DPA inquiries within seconds.

NIST CSF 2.0

Automated

Govern, Identify, Protect, Detect, Respond, Recover — all mapped to live telemetry streams.

FedRAMP Moderate

In Review

Authorization package in progress. GovCloud node topology available for federal deployments.

Retention Architecture

Hash-chained · In-region · Cryptographically signed

Hot Storage90 days
Query latency< 100ms
Index typeFull index
Warm Storage1 year
Query latency< 2s
Index typeCompressed index
Cold Storage7 years
Query latency< 30s
Index typeArchive + hash chain
Fintech Deployment

A Series C payments company reduced PCI audit prep from 6 weeks to 4 hours after deploying Sentinel. Audit package generated on-demand, no log export, examiner reviewed in-place.

Finding 05

Deployments
That Held.

Three customer archetypes. Three different threat models. One architecture that performed under real production load — including during active incidents.

247+
Production nodes deployed
4.2B
Events correlated daily
0
Ingestion failures in 2025
91%
False positive reduction avg.
Mid-Market SOC14 nodes

Regional financial services, 1,200 employees

840K
events/sec
94% fewer false positives
6.1 min MTTD
"We went from 340,000 alerts a day to actionable detections we can actually investigate. My team sleeps again."
Marcus Chen, SOC Manager
Marcus Chen
SOC Manager
MSSP312 nodes

Managed security provider, 47 client environments

18.4M
events/sec
47 clients, single pane of glass
5.8 min avg. MTTD
"Stitching together client SIEMs with duct tape was costing us three engineers. Sentinel's multi-tenant mesh topology replaced all of it."
Priya Nair, VP Engineering, MSSP
Priya Nair
VP Engineering, MSSP
Fintech Compliance28 nodes

Series B payments platform, PCI in-scope

2.1M
events/sec
6 weeks → 4 hrs audit prep
Zero data exported to cloud
"Our compliance lead told the board we had audit-ready logs with cryptographic attestation. That conversation used to take weeks of preparation."
James Okafor, CISO
James Okafor
CISO
Guided sandbox · Pre-loaded synthetic threat data

See Distributed Correlation
Under Actual Load.

The live demo environment runs a real Sentinel mesh with synthetic threat telemetry. Watch correlation fire across distributed nodes in real time. No sales call required.

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247 production nodes deployed
4.2B events correlated daily
SOC 2 Type II certified
No data leaves your region