Cycurion Fathom · The predictive intelligence platform

See the attack before it surfaces.

Fathom is the platform Panoptic and Habit run on. It joins what they see with the tools you already own, scores it in context, and shows which attack is most likely next and what stops it.

Other platforms tell you what happened. Fathom tells you what happens next.

fathomnoun. A measure of depth: six feet of water, straight down.verb. To understand something fully.

Dive

Every other tool stops at the surface.

Sunlight zone

1,284

Alerts in the last 24 hours. The surface: what each tool saw, after it happened, one alert at a time.

Deeper

6 + 4

Signals that belong together. Fathom resolves what Panoptic, Habit and your own tools each saw separately to the same 6 assets and 4 identities.

The abyss

1

Attack path, most likely to be used next. With the evidence behind it and the fix that cuts it. This far down, only Fathom is looking.

Illustrative data

Command

What is most likely to hit us, and when?

Breach likelihood today, where it is heading if nothing changes, and the reasoning in plain English. Always a probability, never a certainty.

Command● Attacker positioning detected
34%74%
~19 daysto the critical threshold

Breach likelihood in the next 30 days, and the projected peak if no action is taken

Why Fathom predicts this

A privileged credential, svc_lab_integration, is for sale on a ransomware-affiliated forum and has no MFA. It can reach ehr-app-03, which carries a validated Log4Shell entry point, and the SIEM already sees lateral-movement probes toward the domain controller. Rotating the credential with MFA, patching Log4Shell and upgrading the SSL-VPN cut the 30-day breach likelihood from 34% to an estimated 12%, and the projected peak from 74% to 32%.

No single tool flags this. Correlated across

Dark WebIdentityVulnerabilitiesMDR · INC-0846

Inside Cycurion Fathom

Every screen answers one question.

01 · Attacker positioningWhere is the attacker positioning?

A live map of your assets and the predicted path through them, from the internet edge to the data that matters.

Predicted path #1 of 5Composite risk 30
1,042Assets mapped
12On predicted paths
31%Reach the PHI store

VPN credential to clinical app to DC to PHI store

  1. InternetPositioning
  2. vpn-gw-02Edge
  3. ehr-app-03Clinical app
  4. dc-core-01Domain controller
  5. ehr-db-01Objective, PHI
02 · Predicted attack traceHow would the attack unfold?

The modeled sequence, step by step in elapsed time, mapped to MITRE ATT&CK. Every step carries the one action that breaks it.

How it unfoldsProjected, not in progress
  1. T+00:00Initial access

    Exposed svc_lab_integration credential used on the vpn-gw-02 SSL-VPN

    T1078 · Valid Accounts× Break here: Rotate credential + MFA
  2. T+00:12Foothold

    Log4Shell triggered on internet-facing ehr-app-03

    T1190 · Exploit Public-Facing App× Break here: Patch Log4Shell
  3. T+01:04Credential harvesting

    LSASS access on ehr-app-03; cached domain credentials recovered

    T1003 · OS Credential Dumping× Break here: EDR isolate host
  4. T+02:20Lateral movement

    Kerberos to dc-core-01 via the clinical app-tier trust

    T1550 · Use Alt Auth Material× Break here: Segment EHR tier
  5. T+04:10Domain compromise

    Domain admin obtained on dc-core-01

    T1078.002 · Domain Accounts× Break here: Tier-0 isolation + JIT
  6. T+06:45Data staging

    ehr-db-01 patient records enumerated and staged

    T1074 · Data Staged× Break here: DLP + DB egress lock
  7. T+09:30Ransomware detonation + exfil

    Encryption begins, care delivery disrupted, HIPAA breach notification

    T1486 · Data Encrypted for ImpactImpact: prevent before this step
03 · Break the attackWhat do we do first?

The top preventive actions, ranked by how much each one cuts the projected peak, and the combined effect of doing all three.

Break the attackDo this now

ActionCut to peak

  • Rotate the 3 exposed credentials + enforce MFA on svc_lab_integration−16%Identity · buys ~6 days
  • Patch Log4Shell (CVE-2021-44228) on ehr-app-03−15%Vulnerabilities · buys ~5 days
  • Upgrade FortiOS 7.2.5 to 7.2.7 on vpn-gw-02−11%Vulnerabilities · buys ~4 days

Apply these 3

  • Next 30 days34% → 12%
  • Projected peak74% → 32%
04 · Breach simulatorWhat if we fix these three?

Toggle preventive actions and watch the modeled peak likelihood recompute, before anyone touches production. Send the plan to remediation when it looks right.

Breach simulator3 actions selected
  • Rotate credentials + MFA−16%
  • Patch Log4Shell on ehr-app-03−15%
  • Upgrade FortiOS on vpn-gw-02−11%
  • Segment the EHR tier−8%
  • Tier-0 isolation + JIT admin−7%
74%32%
Projected peak breach likelihood. Peak stays below the 50% critical threshold.

Next 30 days: 34% → 12%

3Actions selected
~15Days bought
50%Critical threshold

Predicted path

  • vpn-gw-02 · Entry pointcut
  • ehr-app-03 · Footholdcut
  • dc-core-01 · Escalationopen
  • ehr-db-01 · PHI objectiveopen
05 · ValidationIs this finding really exploitable?

Offensive agents test whether findings are exploitable inside your network, safely and continuously, and show what your existing controls already block.

ValidationNext sweep in 4h
5Confirmed exploitable (30d)
146Tests run, non-destructive
89Blocked by your controls
100%Internet-facing coverage
  • Log4Shell exploit chain, clinical app tierExploitableehr-app-03 (replica) · CVE-2021-44228
  • EternalBlue precondition, file serverExploitablefile-svr-04 · CVE-2017-0144
  • Perimeter sweep, patient portalBlockedweb-portal-01 · multiple
One predictionEvery connected feed resolved to the same assets and identities.
Prediction with evidenceThe reasoning is on the page, in plain English.
Simulate before you actSee the effect of a fix before the work starts.
One platformPanoptic and Habit run on Fathom. Your own tools add breadth.

How it works

Telemetry in. Foresight out.

Panoptic feeds it exposure, Habit feeds it behavior, and the tools you already own add breadth. Four layers turn it into one prediction.

01 · Data in

IdentitiesUsers, authentication, behavior, privileges
Endpoint telemetryProcess activity, file system, network
Network dataFirewalls, DNS, flow logs, proxy
Cloud & SaaSCloud logs, API activity, configuration events
Threat intelligenceAdversary TTPs, campaigns, IOC feeds, dark web
Business contextAsset criticality, data sensitivity, risk

02 · The Fathom engine

Exploded schematic of the Fathom engine, layered prediction surfaces on a base
  1. CorrelateResolve shared identities and link related signals.
  2. DetectRecognize emerging patterns and separate noise from signal.
  3. PredictModel probable attack paths and estimate likely impact.
  4. SimulateTest intervention scenarios and compare expected outcomes.

03 · What you get

Predicted attack pathsLikely entry points, attack sequences, confidence scoring
Early warningsEmerging threats, behavioral shifts, risk escalation
Recommended interventionsDisrupt attack paths, preemptive controls, hardening
Environmental insightsAdversary focus, exposure changes, business impact

Better together

One instrument gives you a reading. Several give you a forecast.

A thermometer says it is warm.Panoptic: where you are exposed.
A barometer says pressure is falling.Habit: what is behaving differently.
Fathom says a storm is six hours out.Put them on the same chart and you can see it coming.

Neither module was wrong. Neither was enough.

Cycurion PanopticFeeds Fathom exposure: every asset scored, every fix ranked.Cycurion HabitFeeds Fathom behavior: what it catches, verifies and shuts down.

Integrations

Keep the tools you own. Fathom makes them talk.

Connected through API. Ask us about yours.

The abyssal plain · 2,200 fathoms

Alerts are noise. Intelligence is Cycurion.

Book a demo and watch Fathom take signals from Panoptic, Habit and the tools you already run, and turn them into one prediction you can act on.

Book a demo
Book a demo