AUTONOMOUS SOC · POWERED BY ANTHROPIC CLAUDE

Your SOC. Fully autonomous.
Safety mechanisms you can verify.

Calibrated to your environment. Compounding accuracy with every detection. DomeSOC detects threats, makes decisions, and contains them — supervised, autonomous, or fully autonomous. Built on a 10-source context architecture that learns your environment over time. Adversarial validation layer blocks unsafe decisions before they execute.

Start 14-Day Free Trial → See the architecture ↓
domesoc — autonomous pipeline — live
04:17:32DETECTBrute force detected — CORP-WS-04 — 847 failed logins in 90s — MITRE T1110
04:17:32AI BRAINPredictive + Detective analysis complete — confidence 94% — severity CRITICAL
04:17:33ADVISORThreat assessment: Nation-state TTPs, lateral movement risk HIGH — recommending immediate containment
04:17:33SOARExecuting: block_ip(185.220.101.47) → isolate_host(CORP-WS-04) → disable_account(jsmith) → create_jira_ticket(SOC-2847)
04:17:34SOAR✓ IP blocked at perimeter · ✓ Host isolated · ✓ Account suspended · ✓ Ticket SOC-2847 created
04:17:34LEARNPattern logged — feedback loop updated — brute force detection threshold refined for tenant
04:17:35SYSTEMThreat contained — 0 analyst interventions required — full audit trail saved — decision reasoning logged
26
SOAR actions
Auto-execute or require approval
40
Total integrations
19 wired today + 21 connectors ready
3
AI networks + validator
Predictive · Detective · Advisor · Validator
100%
Decisions explained
Plain-English reasoning on every action
The problem

Your SOC is drowning.
Autonomous AI tools make it worse.

Most autonomous-SOC platforms layer AI on top of existing alert pipelines. You get speed. You also get a black box you can't audit, calibration that never reaches your environment, and no answer to the question every CISO asks: when does the AI refuse to act?

10,000+ alerts/day
Mid-market SOC volume (Enterprise Strategy Group, 2023). Most autonomous tools just process more, faster — without understanding YOUR environment.
45-day detection
IBM Cost of a Data Breach, 2024. Generic AI on alerts doesn't shorten this because it doesn't know what's normal for you.
$4.8M breach
IBM, 2024. Most of it preventable with faster detection AND verified containment — not just faster detection.

DomeSOC was built to answer the harder question: Can autonomous AI be both fast AND safe?

The moat

Generic AI vs
calibrated AI.

Month one, DomeSOC behaves like every other autonomous SOC platform — generic threat models, baseline calibration, broad confidence thresholds. By month six, it's measurably more accurate at YOUR environment than at month one. Every detection sharpens it.

This is the difference between threat intelligence (static, global, identical for every customer) and calibration (dynamic, per-tenant, yours alone). Threat intelligence tells you what attackers do generally. Calibration tells you what's normal for YOU specifically — so the AI knows when something isn't.

Closed predictive calibration loop
Every advisor decision is scored against the actual outcome — confirmed threat, false positive, or expired prediction. Calibration data accumulates per-tenant. The longer you're on the platform, the more accurately the AI predicts your environment specifically.
COMPOUNDS OVER TIME
10-source context substrate
Asset registry. Brain memory of every entity DomeSOC has seen. Business context. Network topology. Identity context. Threat intelligence feeds. Compliance configuration. Recent detection patterns. Investigation timeline. Per-tenant calibration data. Every advisor decision reasons across all ten — not just the alert.
10 SOURCES PER DECISION
Stays with you, not with us
Your calibration data belongs to your tenant. It's not pooled, not shared across customers, not used to train cross-tenant models. Your environment shapes your AI. Your AI doesn't shape someone else's.
PER-TENANT ISOLATION
This is what most autonomous-SOC vendors don't have  ·  Threat intelligence gets stale  ·  Calibration compounds
Verified in production

Three safety mechanisms.
Verified, not described.

Most autonomous-SOC vendors describe their safety controls. We verified ours via controlled testing against the production system. When the AI should refuse to act, we know — because we proved it would.

Unknown-entity escalation
The system refuses autonomous action on hosts it has no history for. New endpoint joins your network and gets compromised before DomeSOC has context? Routes to analyst. Doesn't quarantine on assumptions. Doesn't disable accounts it doesn't recognize. Cold-start protection by design.
VERIFIED
Advisor judgment override
Even in Autonomous mode, medium-confidence decisions route to analyst review. The advisor is calibrated to know what it doesn't know. High-confidence threats get contained automatically. Borderline cases get a human. You set the threshold; the AI respects it without exception.
VERIFIED
Pressure-tested decision boundaries
Tested against synthetic favorable conditions — seeded threat signals, known-bad IPs, kill-chain patterns, historical attack indicators. The advisor would not push past medium confidence even with all signals aligned. Calibrated skepticism is a property, not a setting.
VERIFIED
ADVERSARIAL VALIDATION LAYER
Every autonomous decision adversarially reviewed by a second AI.
Every high-severity or autonomous-mode decision is reviewed by a second AI — the Validator Agent — before execution. The Validator runs seven independent checks against the advisor's reasoning: OT safety, compliance requirements, evidence consistency, action appropriateness, historical entity behavior, investigation conflicts, and confidence justification. If any check fails, execution is blocked and the case escalates to human review with the Validator's reasoning attached.
One independent review layer running on every action that matters  ·  The AI is fast. The architecture decides when fast isn't safe.
How it works

The architecture.

Three networks reason about every detection. A separate validation layer adversarially reviews every autonomous decision. Every step is logged with confidence scores and plain-English reasoning.

Predictive Network
Behavioral baselines learned per-tenant. Anomaly pre-scoring against your environment specifically. Catches deviations before they become alerts. Calibration accumulates over months of observation — your baseline isn't a generic baseline.
PREVENTION LAYER
Detective Network
Real-time MITRE ATT&CK technique mapping. Confidence scoring against the 10-source context substrate. Collapses thousands of noisy alerts into a handful of prioritized decisions with structured evidence.
DETECTION LAYER
Advisor Network
Claude-powered written threat assessment on every detection. Reasons across all 10 context sources — asset criticality, entity history, network topology, identity context, compliance requirements. Selects action with explicit justification. Logged to tamper-evident audit trail.
DECISION LAYER
Three networks in parallel  ·  One advisor synthesizing  ·  One validator checking  ·  Every decision auditable
Operating modes

You decide
how autonomous.

Three modes — from human-in-the-loop to fully autonomous. Per-action granularity inside each mode. You set the boundaries. The AI respects them without exception.

Supervised Mode

AI detects and recommends. Every action requires analyst approval. Full calibration loop runs from day one. Use this to build trust before turning on autonomous containment.

Autonomous Mode

AI contains threats above your confidence threshold. Medium-confidence cases still route to analyst. Validator agent reviews every autonomous decision before it executes. High-confidence threats get contained in seconds.

Full Autonomous Mode

Zero human intervention required. The AI handles detection, decision, and containment on every threat. Legal acknowledgment workflow required before activation. Every action logged with reasoning. Compliance trail preserved across tenant lifecycle.

Per-Action Granularity

For each of 26 SOAR actions, set the autonomy level independently. Block IP automatically. Require approval before isolating hosts. Disable disable_account entirely. The choices are yours, action-by-action.

1
Event ingested
SIEM, EDR, cloud logs via webhook or native adapters
INGEST
2
AI analysis
All 3 networks run in parallel — MITRE mapped — confidence scored
DETECT
3
Claude reasons & decides
Full written threat assessment — action selected with explanation — logged to audit trail
REASON
4
SOAR executes
Block IP, isolate host, disable account, create ticket
ACT
5
Model learns
Outcome recorded — feedback loop updated — threshold refined
LEARN
Explainable AI

Every decision
shows its work.

No black box. Every detection gets a written threat assessment. Every action gets a plain-English reason. Every decision is logged with confidence score, reasoning, and outcome. Reviewable, exportable, defensible.

THREAT ASSESSMENT
⚠ CRITICAL — Confidence 94%
Detection: Brute force from 185.220.101.47
MITRE: T1110 — Credential Access
Context: Known Tor exit node. 847 failed attempts in 90s targeting multiple accounts. Pattern matches credential stuffing campaign.
Risk: High probability of account takeover if not contained immediately.
→ Recommended: Block IP + Disable targeted accounts
SOAR ACTION LOG
✓ block_ip(185.220.101.47)
Reason: Known Tor exit node — 847 failed logins
✓ disable_account(jsmith@corp.com)
Reason: Primary target of credential stuffing
✓ create_jira_ticket(SOC-2847)
Reason: Critical severity — analyst review required
FULL AUDIT TRAIL
Every AI decision is logged with timestamp, confidence score, reasoning, and outcome. Exportable for compliance. Reviewable at any time.
Written assessments
Claude generates a full threat brief on every detection: context, risk analysis, recommended action, justification. Not a confidence number — a paragraph you can read.
Action reasoning
Every SOAR action includes the specific reason the AI chose it. Blocked an IP? "Known Tor exit node, 847 failed logins in 90 seconds, pattern matches credential stuffing." No mystery decisions.
Forensic-grade audit trail
Tamper-evident log of every AI decision, action, confidence score, validator output, and outcome. Survives tenant lifecycle events. Exportable for compliance audits and regulatory review.
26 SOAR actions · 6 categories

Every response action.
Fully automated.

DomeSOC ships with 26 built-in SOAR actions across 6 categories. Each configurable per-action: auto-execute, require approval, or disable entirely.

Network
Block IPBlock DomainBlock URLDNS SinkholeNetwork Isolation
Endpoint
Isolate HostKill ProcessQuarantine FileMemory DumpSnapshot
Identity
Disable AccountReset PasswordRevoke SessionForce MFARemove Group
Cloud
Revoke IAM KeysSuspend InstanceRestrict S3 Access
Ticketing
Create Jira TicketServiceNowPagerDutyNotify Team
Notification
Email AlertSlack AlertWebhook
19 production-wired · 21 connectors · 5 threat intel feeds

Plugs into your
existing stack.

19 production-wired API integrations with the tools your team already uses today. Plus 21 additional connectors ready to enable on demand. No middleware. No professional services required.

🦅
CrowdStrike
EDR
🛡️
MS Defender
EDR
👁️
SentinelOne
EDR
🔐
Okta
Identity
🏢
Entra ID
Identity
📋
Jira
Ticketing
🎫
ServiceNow
Ticketing
📟
PagerDuty
Alerting
🔥
Palo Alto
Firewall
🏰
Fortinet
Firewall
☁️
AWS
Cloud
🌐
GCP
Cloud
💬
Slack
Collaboration
🟦
Microsoft Teams
Collaboration
🦠
VirusTotal
Threat Intel
🔭
Splunk
SIEM
🪟
Microsoft Sentinel
SIEM
🔍
Elastic SIEM
SIEM

Plus 21 additional connectors ready to enable across EDR, identity, ticketing, cloud, firewall, SIEM, and threat intelligence platforms.

5 AMBIENT THREAT INTELLIGENCE FEEDS
Active in production. Enriching every detection with cross-source context.
AlienVault OTX CISA Known Exploited Vulnerabilities Emerging Threats VirusTotal AbuseIPDB
Pricing

Augment your SOC team.
Not your budget.

One tier-1 SOC analyst costs $75,000+/year (industry average). DomeSOC Autonomous starts at $2,500/mo — handling detection, analysis, and containment automatically while your team focuses on what matters.

💡 Design partner program: First 3–5 customers get 60-day free trials and direct input into the product roadmap.
Apply as design partner →
Supervised
AI brain, human hands. Full detection and analysis — your team approves every action.
$1,000/mo
Unlimited users · Up to 500 detections/month
Best for teams that want AI-powered detection and analysis but prefer to keep humans in control of every response action.
Full 3-network AI detection pipeline
10-source context architecture from day one
Calibration loop running per-tenant
Claude threat assessment on every detection
MITRE ATT&CK mapping & confidence scoring
All 26 SOAR actions — analyst approval required
Webhook integrations for custom SOAR
Weekly CISO PDF report
Full audit trail & decision reasoning
14-day free trial — no credit card
Start free trial
Full Autonomous
Zero human intervention. The AI handles everything — detection, decision, containment.
$15,000/mo
Unlimited users · All features unlocked
Best for mature security teams running 24/7 operations without analyst on-call. Requires legal acknowledgment before activation.
Everything in Autonomous
Full autonomous mode — zero human required
Legal acknowledgment workflow with forensic preservation
Endpoint agent deployment
Dedicated onboarding & configuration
SLA tracking with defined response targets
Quarterly architecture reviews
60-day design partner trial available
Get started
No per-seat pricing
Add your whole team. One flat monthly rate regardless of headcount.
Cancel anytime
No annual lock-in. No setup fees. No professional services required.
Start in minutes
Send your first detection via webhook and see AI analysis within seconds.
Built deliberately

Production architecture.
Patent pending.

PATENT PENDING
US Provisional 64/031,411
Autonomous decision architecture with adversarial validation, per-tenant calibration, and forensic-grade audit preservation.
PRODUCTION ARCHITECTURE
Verified, not assumed
Multi-tenant isolation verified through controlled testing. Forensic record preservation across tenant lifecycle. Three safety mechanisms pressure-tested against synthetic adversarial conditions.
BUILT BY
Mohammad Khubaib
Founder · Patent inventor
hello@domesoc.com →
Get started

Stop reacting.
Start verifying.

Be among the first teams running a fully autonomous SOC with safety mechanisms you can actually verify. Calibration that compounds. Validation that blocks unsafe decisions. Audit trails that survive.

Start 14-Day Free Trial → Apply as design partner →