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Mobula · Attack Storyline

A wall of alerts,
told as one story.

Mobula correlates alerts across time, hosts, and identities into a single attack narrative - then writes it up, maps it to the MITRE kill chain, and predicts the attacker's next move. Analysts read a story, not a queue.

14→1
Alerts to one story
6
Entities mapped
Next move
Predicted
Storylines / STORY-2026-0188
HIGHCredential harvesting → lateral movement to finance
✦ RESEMBLES APT29 · 71%
14 alerts · 6 entities · started 2d ago · last activity 12m agoACTIVE
Narrationv3 · claude-opus-4 · 12m ago
Initial foothold
A phishing message ●3f9c1a delivered a macro-laden attachment to p.alvarez, who then entered credentials on a spoofed portal●7b2e44.
Lateral movement
Those credentials authenticated to WIN-HR-07 and pivoted into the finance subnet ●c10ad8, where the actor began staging data on FIN-DB-03.
01

Alerts arrive already grouped into stories

The correlation engine follows the entity graph and the kill chain - not just shared indicators - so related alerts across hosts, users, and time land as one storyline. Split by Users and Hosts, ranked by severity.

Storylines
Storylines
AI kill-chain - related alerts stitched into a single narrative.
UsersHosts
ActiveAllPromoted to CaseSearch titles…
SeverityUserTitleAlertsEntitiesLast activityStatus
HIGHp.alvarezENTRY
Credential harvesting → lateral movement to finance
T1566 · T1078 · T1021 +3
14612m agoACTIVE
CRITICALsvc-backupPIVOT
Service-account abuse → ransomware staging
T1078 · T1486 +2
2293m agoACTIVE
MEDIUMm.chenTARGET
Impossible-travel sign-in cluster
T1078 · T1110
521h agoDORMANT
HIGHDC-01PIVOT
Kerberoasting → domain-controller enumeration
T1558 · T1087 +1
9426m ago
02

Every stage, on the ATT&CK kill chain

Each alert is plotted against the MITRE tactic it belongs to and the moment it happened - so the recon → access → lateral-movement → exfil arc is obvious at a glance. Dimmed dots are precursor “hunting” signals.

Storyline / ATT&CK Kill Chain
Initial Access
Execution
Credential Access
Discovery
Lateral Movement
Collection
Exfiltration
09:1411:0014:3018:0523:40
CriticalHighMediumLow14 alerts · click a dot to inspect
03

Know the next move before it happens

The AI reads how the attack has unfolded and forecasts the most likely next tactics - each with a confidence score and a concrete step to harden before the attacker gets there.

Storyline / Projected Next Moves
Projected next movesAI · claude-opus-4 · 12m ago
Exfiltration78%
T1567 · Exfiltration Over Web Service
HARDEN NOW
Block egress to unsanctioned cloud-storage domains from the finance segment.
Impact52%
T1486 · Data Encrypted for Impact
HARDEN NOW
Confirm offline backups for FIN-DB-03 and verify the restore window.
Persistence33%
T1547 · Boot or Logon Autostart
HARDEN NOW
Alert on new Run-key and scheduled-task creation across the pivot hosts.
04

See exactly who's connected - and why

The blast-radius map pins every host and identity by its role - entry, pivot, target - and labels each link with the reason two alerts were joined. The scope of a breach in one picture.

Storyline / Blast Radius
Ep.alvarez·m.chenPWIN-HR-07TFIN-DB-03·svc-backup
Shared assetShared userIOC overlapMITRE adjacencyTime proximity
Each line explains why two alerts were joined - E entry · P pivot · T target.

Correlated · narrated · predicted

From noise to narrative - automatically.

Attack Storyline turns scattered alerts into one attributed, readable incident, with the attacker's next move already on the board. Promote the whole story to a case in a click.

Mobula SOAR · runs fully air-gapped · no customer data leaves the tenant