# Problose

*/Startups/Problose*

## Startup Overview

This platform calculates probabilistic cyber loss scenarios by directly ingesting live security telemetry. Security and risk teams use it to translate raw technical vulnerabilities and threat data into specific financial exposure figures.

Enterprise risk officers face a persistent gap between technical security metrics and financial risk quantification. Traditional assessments treat cyber risk as a qualitative issue, leaving executives unable to justify security investments or accurately price cyber insurance policies. This system resolves that gap by tying network alerts and endpoint configurations directly to probable dollar losses.

Standard alternatives like static risk registers, manual FAIR assessments, and legacy tools such as RiskLens rely on point-in-time surveys and subjective inputs. Instead, this solution provides a continuous financial risk model. By maintaining continuous telemetry ingestion and natively mapping technical exposures to financial impact, it ensures loss scenarios reflect the current state of the network rather than a quarterly assumption.

## Startup Founding Hypothesis

**Approach**: that calculates probabilistic cyber loss scenarios using telemetry data
**Competitors**:
- [Static Risk Registers](/Competitors/Static_Risk_Registers)
- [RiskLens](/Competitors/RiskLens)
- [Manual FAIR Assessments](/Competitors/Manual_FAIR_Assessments)
**Differentiator2x2**: continuous in telemetry ingestion and natively mapped to financial impact

## Startup Solution Coordinate

**Solution**: [Cyber Loss Engine](/Software/Cyber_Loss_Engine)

## Startup Position2x2

```mermaid
quadrantChart
title Cyber Risk Quantification
x-axis Point-in-Time Data --> Continuous Telemetry
y-axis Qualitative Risk --> Native Financial Impact
quadrant-1 Continuous Financial
quadrant-2 Static Financial
quadrant-3 Static Qualitative
quadrant-4 Continuous Tech Metrics
Static Risk Registers: [0.15, 0.20]
Manual FAIR Assessments: [0.10, 0.75]
RiskLens: [0.25, 0.85]
Problose: [0.85, 0.90]
```

## Startup Offer

**Proof**:
- Targeting mid-market CISOs seeking to replace quarterly manual FAIR spreadsheets with continuous reporting.
- Designed to automate financial risk visibility for organizations with rapidly changing cloud asset architectures.
- Aiming to reduce the gap between a critical vulnerability disclosure and a board-ready financial impact assessment to under one hour.
**Tiers**:
- Name: Targeted Scope · Price: ~$3,000–$5,000/mo · Inclusions: Up to 3 telemetry source integrations (e.g., intended connection to EDR or vulnerability scanners), covering up to 5,000 assets with daily loss scenario recalculations.
- Name: Enterprise Continuous · Price: ~$8,000–$15,000/mo · Inclusions: Unlimited telemetry source integrations, covering up to 50,000 assets with continuous, near-real-time FAIR financial mapping and scenario generation.
**Guarantee**: If the platform cannot successfully map your designated core telemetry sources to standard FAIR financial loss scenarios during the 30-day implementation window, the contract is canceled and your initial payment is refunded entirely.
**Business Function**: ProvideService
**Objection Handlers**:
- Objection: Our EDR and vulnerability scanners already provide risk scores. Rebuttal: Technical risk scores are qualitative; Problose is designed to translate those exact technical metrics into defensible, probabilistic dollar-loss figures.
- Objection: We lack the quantitative analysts required to maintain FAIR models. Rebuttal: The platform automatically populates standard FAIR parameters from your connected telemetry data, requiring no manual statistical modeling from your team.
- Objection: We cannot add another dashboard for our SecOps team to monitor. Rebuttal: Problose operates primarily for the CISO and risk managers, and is intended to push financial metrics directly back into your existing GRC tools via API.
**Pricing Architecture**: Tiered
**Agent Checkout Support**:
- agentic-commerce-protocol

## Startup Brand

**Voice**: Actuarial and precise, driven by mathematical certainty over emotional alarm
**Tagline**: Translate cyber telemetry into continuous financial loss exposure
**Icon Concept**: abacus
**Palette Intent**: institutional-cool
**Visual Identity**: Slate grays and deep actuary blues anchor a stark, high-contrast interface built on monospaced typography that treats cyber risk as pure financial mathematics.
**Archetype Reference**: the-sage

## Startup Buyer Chain

**Chain**: Problose → CISO / Chief Risk Officer → CFO / Board of Directors
**Gtm Motion**: Acquires enterprise security leaders through targeted direct sales aligned with cyber insurance renewal cycles or quarterly board meetings, offering a baseline financial risk calculation using a single cloud read-only integration. Expands account value by connecting additional internal telemetry sources like EDR and SIEM to transition the baseline into a continuous, real-time loss probability dashboard.
**Agent Channel**: Designed to list in enterprise AI plugin registries, such as Microsoft Copilot for Security, and automated GRC tool catalogs as a callable endpoint, enabling AI vCISOs and compliance agents to instantly pull probabilistic financial loss metrics for newly discovered vulnerabilities.
**Primary Channel**: Outbound enterprise sales targeting CISOs 90 days ahead of cyber insurance renewals, paired with organic search capture for high-intent queries like 'automated FAIR assessment' and 'real-time cyber risk quantification'.

## Startup Customer Journey

```mermaid
flowchart LR
  A[Search Query Capture] --> B[Insurance Renewal Evaluation]
  B --> C[Read-Only Cloud Integration]
  C --> D[Financial Risk Baseline]
  D --> E[SIEM And EDR Connection]
  E --> F[Real-Time FAIR Dashboard]
  F --> G[GRC API Push]
```

## Startup Proof Points

_Illustrative — target and order-of-magnitude estimate figures, not an achieved track record (this Thing is concept-stage)._

**Pilot Goals**:
- A 30-day implementation pilot integrating 3 telemetry sources across 5,000 assets, aimed at validating the automated mapping of EDR data to standard FAIR loss scenarios.
- A 45-day enterprise trial covering 50,000 assets, targeting the continuous generation of near-real-time financial mappings pushed directly into the client's existing GRC system.
**Target Metrics**:
- Target: <1 hour latency between vulnerability disclosure and financial impact scenario recalculation
- Aim: 0 manual data entries required to populate standard FAIR models from connected EDR telemetry
- Target: 50,000 cloud assets continuously mapped to daily probabilistic dollar-loss scenarios
**Target Case Studies**:
- Mid-market Financial Services CISO: Moving from quarterly manual FAIR spreadsheet updates to continuous, API-driven financial risk reporting using EDR telemetry.
- Cloud-native SaaS Risk Manager: Translating rapid vulnerability scanner outputs across 20,000 transient cloud assets into daily probabilistic dollar-loss figures without hiring quantitative analysts.
- Healthcare Provider Security Director: Reducing the time from critical vulnerability disclosure to board-ready financial impact assessment from weeks to under one hour.
**Testimonial Targets**:
- Mid-market CISO: Validation that qualitative technical risk scores translate directly into defensible dollar-loss figures for board reporting.
- GRC Director: Relief that financial metrics push automatically into existing GRC tools via API without requiring SecOps to monitor a new dashboard.
- Risk Manager: Confidence that standard FAIR parameters populate automatically from telemetry data without needing specialized quantitative analysts.

## Startup Top Risks

**Risks**:
- Severity: existential · Description: Security teams refuse to grant API access for telemetry ingestion due to the extreme sensitivity of routing raw SIEM and EDR data to a third-party cloud environment. · Mitigation Status: unmitigated
- Severity: high · Description: The probabilistic financial models produce highly volatile loss projections that CISOs cannot mathematically defend to their Boards, destroying trust in the platform. · Mitigation Status: in-progress
- Severity: high · Description: Major telemetry platforms like Splunk or CrowdStrike alter their API endpoints or aggressively throttle data export, breaking the continuous ingestion engine. · Mitigation Status: unmitigated
- Severity: moderate · Description: Customers lack the internal financial baseline data required to calibrate the loss scenario models, stalling initial deployment timelines and time-to-value. · Mitigation Status: in-progress

## Startup Competitors

- [Static Risk Registers](/Competitors/Static_Risk_Registers) — Status Quo
- [RiskLens](/Competitors/RiskLens) — Incumbent
- [Manual FAIR Assessments](/Competitors/Manual_FAIR_Assessments) — Status Quo
- [Safe Security](/Competitors/Safe_Security) — Telemetry CRQ Platform
- [Axio360 Platform](/Competitors/Axio360_Platform) — CRQ Software

## Startup Solution Stack

- [Financial Impact Modeling Service](/Services/Financial_Impact_Modeling_Service) — Service-as-Software
- [Loss Scenario Simulation Agent](/Agents/Loss_Scenario_Simulation_Agent) — Agent
- [Telemetry Ingestion Worker](/Agents/Telemetry_Ingestion_Worker) — Agent
- [Cyber Probabilistic Engine](/Software/Cyber_Probabilistic_Engine) — Software
- [Risk Telemetry API](/Software/Risk_Telemetry_API) — Software

## Startup Story Brand

**Hero**:
- **Need**: to be the financial strategist who justifies security spend with actuarial precision
- **Want**: to present defensible cyber risk loss figures to the board
- **Identity**: the CISO at a cloud-native mid-market enterprise
**Plan**:
- Step: Identify · Detail: Select your core telemetry sources like CrowdStrike or Tenable for automated ingestion.
- Step: Confirm · Detail: Verify the mapping of technical vulnerabilities to standard FAIR financial loss parameters.
- Step: Report · Detail: Push live financial risk metrics into your GRC tool for the next board review.
**Guide**:
- **Empathy**: Budget approvals are won in the boardroom — but spreadsheets are often months out of sync with real telemetry.
**Problem**:
- **Villain**: static risk registers
- **External**: Manual FAIR assessments in Excel fall behind the pace of cloud asset changes and vulnerability scanner alerts
- **Internal**: You feel like you are guessing when justifying budget for critical remediation
- **Philosophical**: Every security leader deserves financial truth — not qualitative technical scores.
**Success**: You deliver real-time financial risk visibility that matches the speed of your cloud architecture, closing the gap between vulnerability and impact assessment.
**One Liner**: What if your cyber risk was measured in dollars instead of high-medium-low? Problose automates financial mapping of your telemetry, delivering continuous loss-exposure reports.
**Positioning**:
- **So That**: justify security investments with defensible probabilistic dollar-loss figures
- **Unlike**: Manual FAIR Assessments
- **For Whom**: mid-market CISOs with cloud-native architectures
- **Category**: Continuous Cyber Risk Quantification
**Call To Action**:
- **Direct**: Calculate Loss Exposure
- **Transitional**: View Sample FAIR Scenario
**Failure Stakes**:
- Board rejection of critical security budget
- Undiscovered eight-figure financial exposure
- Irrelevant quarterly risk reports
**Transformation**:
- **To**: free to lead as a financial risk strategist, no longer stuck defending manual data entry
- **From**: a security lead managing qualitative spreadsheet scores
**Controlling Idea**: Cyber risk is financial risk and should be measured with actuarial certainty.

## Startup Token Hero

**Genre**: founding-hypothesis
**Rendered**: What if your cyber risk was measured in dollars instead of high-medium-low? Problose automates financial mapping of your telemetry, delivering continuous loss-exposure reports.
**Mechanism**: spine-derived-v1
**Template Id**: spine-founding-hypothesis
**Vocab Fingerprint**: c862730dce2cef36

## Startup Token Positioning

**Genre**: moore-positioning
**Rendered**: Continuous Cyber Risk Quantification for mid-market CISOs with cloud-native architectures. Unlike Manual FAIR Assessments — justify security investments with defensible probabilistic dollar-loss figures.
**Mechanism**: spine-derived-v1
**Template Id**: spine-moore-positioning
**Vocab Fingerprint**: cb45e0129458cdaf

## Startup Token Pitch Deck

**Genre**: pitch-deck
**Rendered**: Problem: Manual FAIR assessments in Excel fall behind the pace of cloud asset changes and vulnerability scanner alerts
Solution: What if your cyber risk was measured in dollars instead of high-medium-low? Problose automates financial mapping of your telemetry, delivering continuous loss-exposure reports.
Customer: mid-market CISOs with cloud-native architectures
Unlike: Manual FAIR Assessments
**Mechanism**: spine-derived-v1
**Template Id**: spine-pitch-deck
**Vocab Fingerprint**: 910d73d2dcb133f4

## Startup Token M E D D P I C C

**Pain**: Manual FAIR assessments in Excel fall behind the pace of cloud asset changes and vulnerability scanner alerts
**Metrics**: Target: You deliver real-time financial risk visibility that matches the speed of your cloud architecture, closing the gap between vulnerability and impact assessment.
**Rendered**: Pain: Manual FAIR assessments in Excel fall behind the pace of cloud asset changes and vulnerability scanner alerts
Economic buyer: CISO / Chief Risk Officer
Metrics: Target: You deliver real-time financial risk visibility that matches the speed of your cloud architecture, closing the gap between vulnerability and impact assessment.
Competition: Manual FAIR Assessments
**Mechanism**: spine-derived-v1
**Competition**: Manual FAIR Assessments
**Economic Buyer**: CISO / Chief Risk Officer
**Vocab Fingerprint**: 0f66ad8a91996bc8

## Startup Token Cold Email

**Genre**: cold-email
**Rendered**: Subject: Continuous Cyber Risk Quantification for mid-market CISOs with cloud-native architectures

mid-market CISOs with cloud-native architectures — Manual FAIR assessments in Excel fall behind the pace of cloud asset changes and vulnerability scanner alerts What if your cyber risk was measured in dollars instead of high-medium-low? Problose automates financial mapping of your telemetry, delivering continuous loss-exposure reports.
**Mechanism**: spine-derived-v1
**Template Id**: spine-cold-email
**Vocab Fingerprint**: b7e911d5990d9931

## Startup Token Agent Spec

**Genre**: ai-agent-spec
**Rendered**: Continuous Cyber Risk Quantification. What if your cyber risk was measured in dollars instead of high-medium-low? Problose automates financial mapping of your telemetry, delivering continuous loss-exposure reports. Serves mid-market CISOs with cloud-native architectures.
**Mechanism**: spine-derived-v1
**Template Id**: spine-ai-agent-spec
**Vocab Fingerprint**: fbef99c44cab95f4

## Neighborhood

### Candidate solutions

- [Multi-Client Month-End Close](/Problems/Multi-Client_Month-End_Close) — candidate solution for · Problems

### Embodies

- [Software](/Theses/Software) — embodies · Theses

### What it offers

- [Cyber Loss Engine](/Software/Cyber_Loss_Engine) — offers · Software

### Competitors

- [Axio360 Platform](/Competitors/Axio360_Platform) — competes with · Competitors
- [Static Risk Registers](/Competitors/Static_Risk_Registers) — competes with · Competitors
- [RiskLens](/Competitors/RiskLens) — competes with · Competitors
- [Manual FAIR Assessments](/Competitors/Manual_FAIR_Assessments) — competes with · Competitors
- [Safe Security](/Competitors/Safe_Security) — competes with · Competitors

### Composed of

- [Loss Scenario Simulation Agent](/Agents/Loss_Scenario_Simulation_Agent) — composes · Agents
- [Telemetry Ingestion Worker](/Agents/Telemetry_Ingestion_Worker) — composes · Agents
- [Risk Telemetry API](/Software/Risk_Telemetry_API) — composes · Software
- [Cyber Probabilistic Engine](/Software/Cyber_Probabilistic_Engine) — composes · Software
- [Financial Impact Modeling Service](/Services/Financial_Impact_Modeling_Service) — composes · Services

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