Autonomous cyber defence

Hunt.
Detect.
Eliminate.

HunterAI is a fundamental reimagining of security operations — unifying Threat Feeds, SIEM, SOAR, XDR and EDR into a single intelligent platform that delivers complete visibility, automated intelligence, and machine-speed response.

Built on

Google Cloud Chronicle Vertex AI UK Sovereign IL4 / IL5 Ready

Live threat dashboard

LIVE

1.4s

Mean detect time

94%

Auto-contained

247

Threats stopped

Ransomware lateral movement — CONTAINED

CrowdStrike Falcon · 8 hosts · T1021.002

AUTO

C2 beacon detected — 185.220.101.47

Network tap · 30s interval · Cobalt Strike

LIVE

Credential dumping — LSASS memory access

MS Defender · T1003.001 · svc_backup

AUTO

⚡

34×

ROI vs legacy SIEM

Platform capabilities

One platform.
Every threat vector.

Not another point solution. HunterAI replaces your fragmented security stack with a single intelligent platform — EDR-agnostic, cloud-native, and built for machine-speed response.

🧠

AI Detection Engine

Vertex AI-powered UEBA and ML anomaly detection fine-tuned per tenant. Behavioural baselining eliminates false positives and surfaces only genuine threats — at 1.4 second mean detection time.

Vertex AIUEBAPer-tenant MLAnomaly detection

🎯

Threat Intel Correlation

Chronicle YARA-L rules match every event against IOCs, TTPs and actor campaigns in real time. All detections are tagged to MITRE ATT&CK for consistent, actionable taxonomy.

ChronicleYARA-LMITRE ATT&CKIOC matching

⚡

Autonomous Response

Machine-speed containment — host isolation, credential revocation, firewall rule push and micro-segmentation — executed in seconds. Google Workflows SOAR for complex multi-step playbooks.

Google WorkflowsSOARAuto-containEDR API

🔌

EDR Agnostic

CrowdStrike, SentinelOne, Microsoft Defender, Palo Alto Cortex — or your own. HunterAI normalises telemetry from any source to OCSF. No rip-and-replace. Instant time to value.

CrowdStrikeSentinelOneMS DefenderOCSF

🗂️

Unified Data Lake

Google Chronicle and BigQuery form a petabyte-scale security data lake — sub-second search across a full year of hot telemetry, graph analytics for entity risk, and an immutable audit log.

ChronicleBigQueryCMEK1yr hot retention

🛡️

Attack Graph Analytics

BigQuery graph queries model every entity relationship — detecting lateral movement chains, privilege escalation paths, and blast radius in real time. Know the full scope before you act.

Graph queriesEntity riskLateral movementBlast radius

How it works

From signal to
containment in seconds.

Ingest from anywhere

On-prem forwarder agent or SaaS pull connector — every source, normalised to OCSF at the boundary.

Stream, normalise, store

Google Pub/Sub and Dataflow deliver exactly-once streaming into Chronicle and BigQuery — petabyte scale, sub-second search.

Detect with AI

Three parallel intelligence tracks — threat intel correlation, Vertex AI anomaly detection, and attack graph analytics — run simultaneously against every event.

Fuse and triage

Alert fusion suppresses noise, groups related events into incidents, and ranks by confidence and asset criticality. Analysts see signal, not noise.

Respond autonomously

Containment actions execute at machine speed via EDR APIs, firewall APIs, and identity providers. Human-in-loop escalation when confidence warrants it.

Step 1 · Ingestion

Ingest data sources wherever they are

Two ingestion paths — zero compromise on source type. No rip-and-replace of existing tools.

On-prem forwarder agent — lightweight container or VM inside the customer network
SaaS pull connector — HunterAI-hosted, pulls CrowdStrike, SentinelOne, Defender, Cortex via API
All data normalised to OCSF before crossing the trust boundary
mTLS mutual authentication · CMEK encryption in transit

Pub/SubDataflowOCSF

Step 2 · Data layer

Petabyte-scale security data lake

Chronicle and BigQuery form the single source of truth for all security telemetry — built for scale from day one.

Chronicle — 1 year hot retention, sub-second search, UDM normalisation
BigQuery — structured analytics, graph queries, ML pipeline
Customer-managed encryption keys (CMEK) via Cloud KMS
Per-tenant namespace isolation · immutable audit log

ChronicleBigQueryCloud KMS

Step 3 · Intelligence

Three intelligence tracks, running in parallel

No single detection method is sufficient. HunterAI runs three simultaneously and fuses the results.

Threat intel correlation — Chronicle YARA-L rules, IOC matching, MITRE ATT&CK tagging
Vertex AI detection — UEBA, ML anomaly models, per-tenant fine-tuning
Attack graph analytics — entity risk scoring, lateral movement, blast radius

Vertex AIChronicle YARA-LBigQuery Graph

Step 4 · Triage

Alert fusion eliminates alert fatigue

Traditional SIEMs generate thousands of unrelated alerts. HunterAI groups, scores, and surfaces what matters.

Cross-source correlation across all three intelligence tracks
Noise suppression — known-good activity filtered automatically
Incident grouping — related alerts become a single prioritised case
Confidence scoring based on signal strength and asset criticality

ChronicleBigQuery MLCloud Workflows

Step 5 · Response

Machine-speed containment

Response actions execute via vendor APIs — no analyst required for high-confidence incidents. Full audit trail on every action.

Host isolation and process termination via EDR vendor API
Firewall rule push — NGFW and cloud security groups
Credential revocation via Azure AD, Okta
Google Workflows SOAR for complex multi-step playbooks

Google WorkflowsPub/SubCloud KMS

Data sovereignty

Your data.
Your jurisdiction.

Three deployment tiers — from global commercial to defence-grade sovereign cloud. Every tier built on Google Cloud Platform with customer-managed encryption keys.

🌐

Tier 1 · Global

Global multi-region

Data replicated across US, EU and APAC for maximum availability. Ideal for global commercial customers without specific residency requirements.

US · EU · APAC replication
99.99% availability SLA
Global threat intelligence sharing
AES-256 encryption at rest

🇬🇧

Tier 2 · Regional

UK & EU data residency

All data stored and processed within a single GCP region — europe-west2 (London) for UK customers. Data never leaves the designated region.

GDPR & UK GDPR compliant
Data never leaves named region
Customer-managed keys (CMEK)
Available: London, Frankfurt, Paris

🔐

Tier 3 · Sovereign

Assured Workloads

GCP Assured Workloads for government, defence and critical national infrastructure. HunterAI never holds the master encryption key.

IL4 & IL5 classification support
Customer-held key custody
Access Transparency logging
Defence, CNI, government

Book a demo

See HunterAI
in action.

We run a 45-minute live demonstration against a real attack scenario — tailored to your environment, your EDR stack, and your threat model.

⚡

Live scenario demo — watch HunterAI detect and contain a ransomware campaign in under 12 seconds

🏗️

Architecture walkthrough — how HunterAI integrates with your existing EDR and cloud stack

📊

ROI modelling — we model the financial impact for your specific organisation and threat landscape

🔐

Sovereignty briefing — tailored to your data residency and compliance requirements

Request a demo

We respond within one business day.

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Hunt. Detect. Eliminate.

One platform.Every threat vector.

From signal tocontainment in seconds.

Your data.Your jurisdiction.

See HunterAIin action.

Hunt.
Detect.
Eliminate.

One platform.
Every threat vector.

From signal to
containment in seconds.

Your data.
Your jurisdiction.

See HunterAI
in action.