LIVE DECISION QUEUE { THE_DECISION_ENGINE }

Every other tool ends with a list.
This is where it becomes a plan.

The Decision Engine is the moat of the Exposure Decision Platform. Every validated exposure across your environment is ranked by exploitability, attack path, and business impact, then surfaced as a single ranked plan. The team stops chasing alerts. They start closing paths.

Request Attack Simulation See how it decides
Ranked plan, not a list Closes only when the path closes
  • 90% less time to validate vulnerabilities
  • 95% fewer false positives
  • 300% faster remediation

Based on competitors' benchmarks, unified into one platform.

{ THE_PRINCIPLE }

A decision is not a score.
It's an instruction.

Generic scoring tools dump a ranked list and call it prioritization. The Decision Engine works the other way around. It assumes the team can only ship one change this week. It picks that change. It explains why. It re-ranks the queue when you ship.

01

Findings without paths are noise.

A CVE on an unreachable host does not need fixing. A medium-severity bug at the end of a chained exploit does. The Engine works on validated attack paths, not finding lists.

02

Scores without context are theatre.

CVSS does not know what the asset is worth. The Engine weighs business value, blast radius, and the regulators watching, then produces a recommendation, not a score.

03

A decision is closed by the path closing.

The platform re-runs the simulation after every remediation. The ticket does not close because someone marked it done. It closes because the attacker cannot get through.

{ REASONING_VIEW }

Every recommendation
cites the path.

Click any item in the queue. The engine shows the chain it severs, the asset it protects, the regulator it satisfies. No black-box scoring. Your team can audit the why.

App screenshot here: the Decision Engine reasoning panel Expanded recommendation card showing severed attack chain, protected asset, business impact, and supporting evidence. APP SCREENSHOT
{ SIX_CAPABILITIES }

Six capabilities.
One ranked plan.

01 Ranked recommendations

The next move, named.

For every closed week, the platform names the single change that removes the most risk. With reasoning. With the path it severs. With the asset it protects.

02 Attack-path reasoning

Every decision cites the path.

Every recommendation comes with the exact attack chain it severs. No black-box scoring. Your team can audit the why.

03 Risk reduction simulation

See the delta. Then apply.

Before the fix ships, you see the projected risk reduction. You apply the changes that actually move the number, not the ones that look busy.

04 Verify the fix

A decision closes only when the path closes.

After remediation the platform re-runs the attack path. If the door is shut, the ticket closes. If not, the recommendation stays open with diagnosis.

05 Continuous re-ranking

The list is always current.

New disclosures, new exploit availability, new business context. The Decision Engine rescores the queue in minutes, not quarters.

06 Business impact tagging

Numbers your board reads.

Every decision is tied to named assets and revenue at stake. The same artifact serves the engineer and the audit committee.

{ SIMULATION_VIEW }

See the delta
before you ship.

The simulator projects how much risk a change actually removes. The team stops shipping changes that look busy and starts shipping changes that move the number.

Run the simulation on your stack
App screenshot here: risk-reduction simulation Before/after risk graph with the proposed change highlighted and the projected delta to the queue. APP SCREENSHOT
{ THE_INTERFACE }

See your decision queue
at a glance.

The interface is built around one question: what should we fix this week? Every other view is an annotation on that answer.

app.mindthehack.ai/dashboard
m
mindthehack
139
JD
Steven
Maarten
Digitalis Bank

OVERVIEW

Settings
DashboardProcessesVulnerabilitiesAssets

PROJECTS

Search for Projects, Assets, Vu..
Cloud2
Web servers2
HQ Offices Inter..
IoT local net..2
Backup Server
Project 32
Settings

Digitalis Bank

Dashboard

Nov 20 - Dec 20, 2024
Dashboard
All projects
All assets
Vulnerabilities by severityAll Vulnerabilities ↗

41 Total

1839%
0

Critical

1134%
0

High

2522%
0

Medium

115%
0

Low

839%
0

Informational

ProcessesAll Processes ↗
by Status
by Type
by Project
Blackbox Internal16
Greybox Internal8
Greybox Internal14
BlackBox External9
Greybox External2
Assets targetedAll Assets ↗

20

IPs

12

Domains

19

Subdomains

46

TOTAL

Vulnerabilities per HostAll Vulnerabilities ↗
HostIPPortCriticalHighMediumLowLast processed
digitalisbank.com115.228.249.7580801110145min
mailsafe.sdncc.org115.228.249.7580440402 hours
Oln-1.mail-server.int.com115.228.249.7524611013 days
Oln-1.mail-server.int.com115.228.249.7544388465 days
apache-main.sdncc.org115.228.249.75888892268 days
digitalisbank.com115.228.249.75Port111111911 days
digitalisbank.com115.228.249.75Port1225122 days
{ THE_DECISION_ENGINE }

Tell me what to fix first.
We already did.

The Decision Engine ranks every validated exposure by exploitability, attack path, and business impact. Then it recommends the single change that reduces the most risk this week. The team stops chasing alerts. They start closing paths.

Decision Engine · Week 17 LIVE
Ranked recommendations 3 of 247 findings · sorted by group risk impact
  • 01
    Patch CVE-2025-XXXX on edge-prod Severs critical path to crown-jewel DB
    47% group risk
  • 02
    Rotate priv. service credentials Blocks lateral movement from admin-vpn
    23% group risk
  • 03
    Disable legacy SSO bridge Removes third-party trust hop
    11% group risk
244 more decisions queued · re-ranks continuously
  • 01 Recommended actions

    The next move, named.

    The platform tells your team the single change that reduces the most risk this week. With reasoning, not just a score.

  • 02 Risk reduction simulation

    See the impact, before the fix.

    Every recommendation comes with a projected risk delta. You apply only the changes that move the number.

  • 03 Business impact

    Tied to real assets, real paths.

    Decisions are ranked against the assets and revenue at stake. No generic CVSS. Just the consequences your board reads.

  • 90% less time to validate vulnerabilities
  • 95% fewer false positives
  • 300% faster remediation

Based on competitors' benchmarks, unified into one platform.

See the Decision Engine Request Attack Simulation
{ HOW_IT_WORKS }

Three steps.
One platform.

Complexity in. Clarity out.

  1. 01 Connect

    Understand your attack surface.

    Discover every asset and exposure across your environment. External, internal, cloud, OT, and third-party connections, mapped in hours, not weeks.

  2. 02 Attack

    Simulate real attacker behavior.

    Validate vulnerabilities and map the paths attackers actually take. Continuous, exploit-verified, safe.

  3. 03 Remediate

    Fix what actually matters.

    Prioritize, resolve, and verify. The platform tells the team the next move and confirms the path is closed.

{ NEXT_STEP }

See how you'll get breached,
before it happens.

No assumptions. No noise. Just real attack paths. The decisions waiting at the end of an attack simulation are the ones your team would otherwise miss.

Request Attack Simulation Talk to an expert
Based on your real infrastructure.

Guarded by hackers. Empowered by AI.