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Security data,
built for agents

The only security data platform where any AI agent — yours, third-party, or ours — gets instant, efficient access to your entire security estate.

284,719 events processed

100x

query efficiency

<80ms

response time

1 call

vs 47 legacy

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Fortune 500Series B+SOC TeamsMSSPsFortune 500Series B+SOC TeamsMSSPs

Intelligence, Not Interfaces.

Stop writing queries. Start asking questions.

From regex and boolean chains to plain English. From fragmented APIs to a single call. The query layer your security stack was missing.

peaque-cli

The Problem

Your infrastructure wasn't designed for this

AI agents don't read dashboards. They need structured, queryable evidence — not alert prose written for humans. Legacy SIEMs return text. Agents need data.

Legacy SIEM Response
{  "alert_id": "ALT-20483",  "severity": "HIGH",  "title": "Possible lateral movement",  "description": "Unusual admin share access detected. Review recent authentication...",  "recommendation": "Investigate WS-042 activity manually."}
Prose output — agent must reverse-parse meaning
Peaque Evidence Bundle
{  "seed_event_ref": "evt:e5",  "technique_chain": [    "T1059", "T1059.003",    "T1071.001"  ],  "entities": [    "WS-042", "alice",    "powershell.exe"  ],  "structural_pattern_score": 0.91,  "anomaly_score": 0.96,  "evidence": [...]}
Structured output — agent reasons directly

Before

Complex syntax, multiple dashboards, manual correlation

Now

One question. Complete answer.

Same structured evidence — whether your analyst asks or your agent calls.

The Platform

Built different, by design

Security Mesh

Agent-Native Data Architecture

Query engine optimized for how agents actually access data. 100x more efficient than forcing agents through legacy SIEM APIs. Works with any agent — yours, third-party, or ours.

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Cross-Vector

AI-Written Detection Rules

The only platform where AI agents write, validate, and evolve detection rules across endpoint, network, cloud, and identity. Not just email. Not just monitoring. Auto-evolving coverage.

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How It Works

Three layers, one pipeline

Raw events flowing from your security estate

Live Event Stream0 events
Agent Evidence Bundle
Sigma Rules Matching
Graph Neighbourhood Expansion
Evidence Bundle Assembly
01

Detect

Sigma rules tag behavioral signals in real-time. Most events pass through — they're normal.

02

Expand

Tagged events seed graph exploration. Bounded neighborhoods grow 1-2 hops outward.

03

Score & Deliver

Conjunction scoring surfaces attack patterns. Agent pulls the full evidence bundle in one call.

Built Different

By design, not by accident

Primary consumer

LegacyHuman analyst
PeaqueAI agent

Query model

LegacyIterative, single query
PeaqueInteractive, natural language

Graph state

LegacyMutable, query-time construction
PeaqueAppend-only edge log

Data surface

LegacyAlert-compressed
PeaqueFull-fidelity behavioral signals

Output format

LegacyProse narrative, severity score
PeaqueMachine-readable evidence bundle

Detection → investigation

LegacyAlert pipeline → analyst triage
PeaqueAnnotation → scoring → agent reasoning

Freshness model

LegacyImplicit / undocumented
PeaqueExplicit per-query contract

100x

Query efficiency vs legacy SIEMs

21%

Detection coverage despite 90%+ telemetry

44%

Enterprises evaluating SIEM replacement

Why Peaque Wins

Three structural bets

01

Ingestion-Detection Feedback Loop

Your ingestion knows which detections need which data. Filter an event — we tell you which ATT&CK technique just went blind. Architecture, not a feature.

02

Agent-Optimized Storage

Low-latency structured retrieval. Context-window-aware chunking. Hybrid semantic + structured queries. Purpose-built for machine-speed access.

03

Data Flywheel

More events, better detection models, smarter filtering, lower costs. Compounds with scale. First to critical mass owns the vertical.

Ready to build security
for the agent era?

See what AI agents can do when your security data is built for them.

Currently in stealth mode · Limited access