Agentic Solutions / Cybersecurity

The Dwell-Zero Autonomous SOC

Detect, triage, and contain threats in minutes — not months — so attackers never reach your data.

Real-Time Threat Correlation & Autonomous TriageOrchestrated Containment & Response

Always-on AI agents  ·  fronted by an Incident-Room Copilot  ·  wired into your SIEM, EDR & SOAR

The problem

Threats move in minutes. Alerts pile up by the thousand. Analysts can’t keep pace.

Alert fatigue is constant

SOC teams field roughly 960 alerts a day, and nearly half are false positives. Real threats sit unseen in the noise while analysts chase ghosts.

The analysts aren’t there

A multi-million-person workforce gap leaves teams understaffed — 67% report a shortage. Manual triage simply doesn’t scale to the volume.

Breaches outrun response

Attackers can exfiltrate or encrypt in hours, yet the average breach still takes 241 days to identify and contain.

The cost of inaction: the average data breach now costs $4.44M — rising to $5.56M in financial services and $7.42M in healthcare.

Sources: IBM Cost of a Data Breach 2025; State of AI in Security Operations; ISC2 Cybersecurity Workforce Study. Figures shown as illustrative benchmark ranges.

Why agentic, why now

Speed and signal volume are exactly where agents win.

Security operations is among the best-suited domains for agentic AI — measurable outcomes, structured telemetry, and standardized playbooks. The economics now favor acting first.

$4.44M

average cost of a data breach — financial $5.56M, healthcare $7.42M

80 days

cut from the breach lifecycle by AI & automation, saving ~$1.9M per incident

~46%

of security alerts are false positives; ~40% are never investigated

11 days

global median attacker dwell time before a breach is detected

Sources: IBM Cost of a Data Breach 2025; Mandiant M-Trends 2025; State of AI in Security Operations; Microsoft / Omdia State of the SOC; Gartner (2025). Illustrative benchmark ranges.

The solution

One autonomous SOC, two decision-first pillars.

A team of always-on AI agents watches every signal, triages it in real time, and contains confirmed threats — escalating only what genuinely needs a human.

01 PILLAR 01

Real-Time Threat Correlation & Autonomous Triage

Agents ingest SIEM, EDR, IAM and cloud telemetry, correlate it into incidents mapped to MITRE ATT&CK, and score every alert by risk and confidence — auto-closing noise and investigating what’s real.

02 PILLAR 02

Orchestrated Containment & Response

For confirmed threats, agents run graded response: low-risk actions autonomously, high-impact and destructive containment on human approval — collapsing time-to-contain.

Outcome: dwell time and MTTR fall toward zero, while scarce analysts focus only on real threats.

Pillar 01 · Real-time correlation & autonomous triage

Turn alert noise into a short list of real threats.

01

Ingest & correlate

Stream telemetry from SIEM, EDR/XDR, IAM, cloud and network; stitch related signals into single incidents mapped to MITRE ATT&CK.

02

Score risk & confidence

Enrich with threat intel and asset context; rank by severity, blast radius and confidence — and auto-suppress false positives.

03

Surface a live threat queue

Analysts see one always-current, prioritized queue, so effort flows to the incidents that actually matter — not the noise.

Autonomous triage funnel

Illustrative alert volume, per day

Sources: State of AI in Security Operations; Microsoft / Omdia State of the SOC. Illustrative volumes.

Pillar 02 · Orchestrated containment & response

From detection to containment — in one orchestrated motion.

When a threat is confirmed, every minute of dwell time is data at risk. Agents act in the safe lane; humans approve the rest.

01

Detect

Correlated signals confirm a true threat on a user, host or workload.

02

Triage

Risk, blast radius and confidence are scored; the incident is enriched and prioritized.

03

Contain

Low-risk actions run autonomously — isolate host, revoke session, block IP. Destructive actions wait for approval.

04

Resolve

The threat is remediated, the case is closed, and an immutable evidence trail is logged.

Why it works: organizations using AI and automation cut the breach lifecycle by 80 days and saved ~$1.9M per incident. Collapsing time-to-contain shrinks the window for exfiltration.

Concept workflow

Background agents do the watching. A front-line copilot works with your analysts.

AGENT

Telemetry Ingestion

Streams & normalizes SIEM, EDR/XDR, IAM, cloud and threat-intel feeds in real time.

AGENT

Detection & Correlation

Stitches signals into incidents and maps them to MITRE ATT&CK.

AGENT

Risk Scoring & Triage

Scores priority and confidence; suppresses false positives.

AGENT

Response Orchestration

Runs graded containment via SOAR, EDR & IAM; opens & updates tickets.

AGENT

Evidence & Audit

Captures an immutable timeline and drafts regulator-ready evidence.

— orchestrated handoff —

Front-line · analyst-facing

Incident-Room Copilot

It briefs the SOC, joins the incident bridge, surfaces live context, drafts response actions for approval, narrates the timeline, and prepares the exec or board breach briefing — so analysts stay on judgment, not console-hopping.

Pre-shift & incident brief
Live bridge context
Drafts actions + case updates
The operating model

Your team supervises. The agent team operates.

An always-on agentic team runs detection, triage and low-risk response around the clock. Humans own judgment and approve every high-impact or destructive action.

Agents — autonomous, 24/7
  • Monitor all telemetry in real time
  • Correlate and triage every alert
  • Suppress false positives continuously
  • Execute low-risk containment
  • Log evidence and keep tickets current
Humans — supervise & approve
  • Set detection strategy and guardrails
  • Approve high-impact & destructive actions
  • Lead complex incident response
  • Own regulatory & board decisions

The incentive: faster containment, less alert fatigue, and scarce analysts focused on real threats — without growing the team. Human-on-the-loop.

Live data fabric

Every security signal, correlated into one live threat picture.

Real-time, least-privilege integration across your security and data stack — correlated continuously and surfaced exactly when it matters: active incidents, incident bridges, and board or audit reviews.

SIEM & LOGS

Detection data

Splunk · Microsoft Sentinel · Elastic

EDR/XDR & SOAR

Endpoint & response

CrowdStrike · SentinelOne · Defender · Cortex XSOAR · Tines

IAM, CLOUD & INTEL

Identity & context

Okta · Entra ID · AWS/Azure/GCP · threat-intel feeds

LIVE THREAT PICTURE

One always-current view per incident

Signals correlated, scored and prioritized in real time — with blast radius and recommended actions.

Surfaced live in

Active incidents

Live context, asset blast radius and recommended actions.

Incident-bridge calls

A shared, narrated timeline on the war-room call.

Board & audit briefings

Impact at a glance and evidence on demand.

Delivered by the Incident-Room Copilot: live context in the war room — no console-hopping, no stale exports.

Where it runs

Six response workflows your agents operationalize.

01

Phishing & BEC response

Detects malicious mail, claws back delivered messages, and disables compromised inboxes.

02

Identity threat & account takeover

Spots anomalous logins and session theft; revokes tokens and forces step-up authentication.

03

Ransomware containment

Isolates infected hosts and blocks lateral movement before encryption spreads.

04

Cloud misconfiguration remediation

Flags risky exposure and drift; opens fixes or auto-remediates low-risk changes.

05

Vulnerability & exposure prioritization

Ranks exploitable, internet-facing risk by real-world threat context.

06

Compliance evidence collection

Assembles audit-ready evidence and incident timelines for DORA, PCI and SOC 2.

What customers get

Outcomes the security organization feels fast.

Dwell time & MTTR collapse

Detection-to-containment shrinks from days to minutes as agents act in the safe lane.

Alert fatigue, gone

Auto-suppression clears the ~46% false-positive load so analysts see only real threats.

Contain before data is lost

Faster response shortens the window attackers have to exfiltrate or encrypt.

Scale without hiring

Agents absorb 24/7 monitoring and triage, easing a multi-million-person workforce gap.

Audit-ready by default

Immutable evidence and timelines support DORA’s 4-hour reporting, PCI and SOC 2.

Analysts on real work

Scarce talent shifts from console-watching to threat hunting and complex response.

Implementation approach

Layered onto your stack — live in weeks, not quarters.

01

Connect

Wire up SIEM, EDR/XDR, IAM, cloud and ticketing via least-privilege access.

02

Correlate

Baseline normal, tune detections, and stand up risk & confidence scoring.

03

Respond

Define graded playbooks and approval gates for high-impact actions.

04

Assist

Roll out the Incident-Room Copilot for briefs, bridges and case updates.

05

Optimize

Feed analyst decisions back to sharpen detection and reduce noise.

Plugs into your stack

SIEM

Splunk · Sentinel · Elastic

EDR/XDR & SOAR

CrowdStrike · Defender · XSOAR · Tines

IAM & cloud

Okta · Entra ID · AWS/Azure/GCP

Ticketing

ServiceNow · Jira

Governance & safety: human approval gates for destructive actions, an immutable audit trail, explainable decisions and least-privilege access — aligned to SOC 2, PCI-DSS, GDPR, DORA, NIST CSF, ISO 27001 and HIPAA/GLBA.

Stop drowning in alerts. Start containing threats.

Turn your existing telemetry into autonomous detection, triage and response.

The Dwell-Zero Autonomous SOC collapses dwell time and MTTR — with humans approving every high-impact action.

Celthrac — incubating agentic AI for regulated, data-rich industries. EU-native, ISO 27001-ready, human-on-the-loop.