# Cyberlume

*/Startups/Cyberlume*

## Startup Overview

This threat analysis engine ingests raw endpoint telemetry and automatically correlates the data into deterministic attack graphs. Security operations teams use the system to trace the exact sequence of unauthorized actions across their digital infrastructure without manual data parsing.

Enterprise incident responders face massive volumes of disconnected alerts and fragmented system logs that obscure the root cause of an attack. Instead of forcing analysts to write complex queries to stitch together disjointed events, the system links isolated data points into a complete, verified chain of execution for every detected threat.

Legacy platforms like Splunk Enterprise Security and CrowdStrike Falcon LogScale charge by data ingestion volume and leave the burden of manual log correlation to the user. In contrast, this engine guarantees deterministic attribution for every alert and aligns cost directly with security outcomes by pricing strictly per remediated incident.

## Startup Founding Hypothesis

**Approach**: that correlates raw endpoint telemetry into deterministic attack graphs
**Competitors**:
- [Splunk Enterprise Security](/Competitors/Splunk_Enterprise_Security)
- [CrowdStrike Falcon LogScale](/Competitors/CrowdStrike_Falcon_LogScale)
- [manual log correlation](/Competitors/manual_log_correlation)
**Differentiator2x2**: deterministic in its attribution and priced strictly per remediated incident

## Startup Solution Coordinate

**Solution**: [Cyberlume Graph Engine](/Software/Cyberlume_Graph_Engine)

## Startup Position2x2

```mermaid
quadrantChart
x-axis Probabilistic & Heuristic --> Deterministic Attribution
y-axis Ingest-Volume Pricing --> Outcome-Based Pricing
quadrant-1 Deterministic, Value-Priced
quadrant-2 Manual/Ad-Hoc Outcomes
quadrant-3 Manual High-Overhead
quadrant-4 Traditional Telemetry Ingest
Splunk Enterprise Security: [0.35, 0.15]
CrowdStrike Falcon LogScale: [0.65, 0.20]
Manual log correlation: [0.20, 0.60]
Cyberlume: [0.85, 0.85]
```

## Startup Offer

**Proof**:
- Aim to eliminate ingestion-based billing for alert triage by charging only for resolved incidents.
- Targeting a 95% reduction in manual log correlation time for Level 2 SOC analysts.
- Intends to provide deterministic, visually verifiable attack paths rather than probabilistic threat scores.
**Tiers**:
- Name: On-Demand Remediation · Price: ~$400–$800 per remediated incident · Inclusions: Deterministic attack graph generation, root cause attribution, and step-by-step remediation plan for standard endpoint alerts. Billed only upon successful root-cause correlation.
- Name: Enterprise Volume · Price: ~$10,000–$25,000/yr commit · Inclusions: Pre-purchased block of 30-80 incident remediations, intended API connections to major SIEM tools, and priority telemetry ingestion processing for complex multi-host events.
**Guarantee**: If Cyberlume cannot deterministically attribute the root cause and generate a complete attack graph for a submitted alert, the incident charge is waived entirely.
**Business Function**: ProvideService
**Objection Handlers**:
- Objection: Our endpoint telemetry is too noisy for automated correlation. Rebuttal: The system is designed to filter out ambient noise by anchoring on the initial alert trigger and deterministically tracing only the connected execution paths.
- Objection: We already pay Splunk or CrowdStrike for log retention and analysis. Rebuttal: Cyberlume does not charge for data ingestion or storage; you only pay when a specific incident is successfully correlated and resolved.
- Objection: We cannot trust an external service to auto-remediate production servers. Rebuttal: Cyberlume generates the deterministic attack graph and remediation sequence, but active isolation or deletion requires explicit human-in-the-loop approval.
- Objection: We have custom logs that standard parsers miss. Rebuttal: The system is built to map raw telemetry to standard endpoint schemas before correlation, allowing adaptation to proprietary data formats.
**Pricing Architecture**: UsageMeter
**Agent Checkout Support**:
- agentic-commerce-protocol

## Startup Brand

**Voice**: Authoritative and forensic, delivering hard evidence without panic
**Tagline**: Trace exact attack paths from raw endpoint telemetry
**Icon Concept**: server
**Palette Intent**: electric-signal
**Visual Identity**: Deep terminal blacks and electric neon greens anchor the identity, paired with monospace typography to evoke raw command-line forensics and precise telemetry mapping.
**Archetype Reference**: the-sage

## Startup Buyer Chain

**Chain**: Cyberlume → Security Operations Center (SOC) Analysts → Chief Information Security Officer (CISO)
**Gtm Motion**: Acquires enterprise security teams through a zero-ingestion-cost deployment, converting them by charging solely for deterministic incident remediations. Expands footprint by mapping additional enterprise environments into the core attack graph once endpoint value is established.
**Agent Channel**: Designed to register as an incident-validation API in AI security orchestration registries like Torq and Tines, enabling autonomous SOC agents to programmatically query deterministic attack pathways.
**Primary Channel**: Targeted outbound to Incident Response Directors via LinkedIn and GitHub security communities, leading with a direct cost-comparison against volume-based Splunk ingestion pricing.

## Startup Customer Journey

```mermaid
flowchart LR; A[IR Director] --> B[Cost Comparison]; B --> C[Endpoint Telemetry]; C --> D[Attack Graph]; D --> E[Remediation Plan]; E --> F[Enterprise Commit]; F --> G[SIEM Integration]; G --> H[Torq / Tines Registry];
```

## Startup Proof Points

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

**Pilot Goals**:
- 14-day shadow pilot with an enterprise SOC: Process 50 standard endpoint alerts in parallel with human analysts to prove the system correctly generates root-cause attribution and remediation steps without manual log queries.
- 30-day billing validation test with a managed security provider: Submit 100 noisy multi-host alerts to verify the system accurately drops uncorrelated noise and triggers the $400-$800 usage charge only for the definitively resolved incidents.
**Target Metrics**:
- Target: 95% reduction in manual log correlation time per incident for Level 2 SOC analysts.
- Aim: 100% elimination of ingestion-based billing for telemetry data used during alert triage.
- Target: Under 5-minute average generation time for a complete deterministic attack graph from initial alert trigger.
- Aim: 0 billable charges for alerts where root-cause attribution cannot be definitively correlated.
**Target Case Studies**:
- Target: A mid-market financial services SOC shifts from paying a flat monthly rate for SIEM data ingestion to paying only for successful incident correlations, validating the cost-efficiency of usage-metered remediation.
- Target: A Managed Security Service Provider (MSSP) integrates the deterministic attack graph generator, aiming to reduce manual log correlation time by 90% and enable Level 2 analysts to process three times the alert volume.
- Target: A technology enterprise routes noisy endpoint telemetry through the system, demonstrating how deterministic path tracing filters out ambient noise and generates actionable remediation sequences for complex multi-host events without false positives.
**Testimonial Targets**:
- Target Role: Lead SOC Analyst. Target Sentiment: Relief that manual querying of raw logs across multiple hosts is replaced by a visually verifiable, deterministic attack graph rather than a black-box probability score.
- Target Role: Chief Information Security Officer (CISO). Target Sentiment: Validation that the usage-metered pricing model aligns security spending directly with resolved incidents rather than punishing the organization for high telemetry volume.
- Target Role: Incident Response Manager. Target Sentiment: Confidence in the safety of the remediation process, noting that the step-by-step plans are highly accurate while keeping humans strictly in the loop for production server actions.

## Startup Top Risks

**Risks**:
- Severity: existential · Description: Endpoint security providers throttle or restrict raw telemetry export via API, severing the data pipeline required to build attack graphs. · Mitigation Status: unmitigated
- Severity: high · Description: The pay-per-remediated-incident pricing model yields negative gross margins when continuous high-volume telemetry ingestion costs outpace the frequency of billable incidents. · Mitigation Status: in-progress
- Severity: high · Description: Advanced threats manipulate local system logs before collection, breaking the deterministic attribution logic and generating false negatives. · Mitigation Status: in-progress
- Severity: moderate · Description: Security operations teams reject the automated graph output because internal compliance policies require manual raw log review for incident closure. · Mitigation Status: unmitigated

## Startup Competitors

- [Splunk Enterprise Security](/Competitors/Splunk_Enterprise_Security) — Incumbent SIEM
- [CrowdStrike Falcon LogScale](/Competitors/CrowdStrike_Falcon_LogScale) — Endpoint Incumbent
- [Manual Log Correlation](/Competitors/Manual_Log_Correlation) — Status Quo
- [Palo Alto Cortex XSIAM](/Competitors/Palo_Alto_Cortex_XSIAM) — Next-Gen SIEM
- [Exabeam Security Operations](/Competitors/Exabeam_Security_Operations) — Legacy UEBA

## Startup Solution Stack

- [Incident Remediation Service](/Services/Incident_Remediation_Service) — Service-as-Software
- [Attack Attribution Agent](/Agents/Attack_Attribution_Agent) — Agent
- [Telemetry Correlation Worker](/Agents/Telemetry_Correlation_Worker) — Agent
- [Attack Graph Engine](/Software/Attack_Graph_Engine) — Software
- [Endpoint Telemetry API](/Software/Endpoint_Telemetry_API) — Software

## Startup Story Brand

**Hero**:
- **Need**: to be the forensic expert who provides hard evidence, not a guess
- **Want**: to trace the exact root cause of an endpoint alert without manual logs
- **Identity**: the Level 2 SOC analyst at a mid-market enterprise
**Plan**:
- Step: Submit · Detail: Paste the alert trigger or incident ID into the dashboard to start the forensic trace.
- Step: Verify · Detail: Review the deterministic attack graph that maps the exact lateral movement and process execution.
- Step: Remediate · Detail: Execute the step-by-step resolution plan to isolate the threat and close the incident.
**Guide**:
- **Empathy**: Does your alert triage still stall during manual log correlation across siloed tools?
**Problem**:
- **Villain**: ingestion-based billing
- **External**: Manually correlating raw telemetry across Splunk Enterprise Security and CrowdStrike Falcon LogScale takes hours of lookups for a single alert.
- **Internal**: You feel like a data janitor scrubbing noisy logs instead of an investigator stopping threats.
- **Philosophical**: Every security analyst deserves deterministic evidence — not a bill for data storage.
**Success**: You deliver a complete, visually verifiable attack path to stakeholders within minutes, paying only for the resolved incident.
**One Liner**: What if you only paid for the threats you actually resolved? Cyberlume transforms raw telemetry into deterministic attack graphs, slashing manual correlation time by 95%.
**Positioning**:
- **So That**: attribute root causes without paying for data storage
- **Unlike**: manual log correlation in Splunk
- **For Whom**: Level 2 SOC analysts
- **Category**: Deterministic incident correlation service
**Call To Action**:
- **Direct**: Submit an incident
- **Transitional**: View sample attack graph
**Failure Stakes**:
- Missing the true root cause
- Ballooning SIEM storage costs
- Days of manual investigation
**Transformation**:
- **To**: the analyst who stops attacks with deterministic evidence
- **From**: a log-scrubber buried in Splunk queries
**Controlling Idea**: Security budgets should fund incident resolution, not just data ingestion.

## Startup Token Hero

**Genre**: founding-hypothesis
**Rendered**: What if you only paid for the threats you actually resolved? Cyberlume transforms raw telemetry into deterministic attack graphs, slashing manual correlation time by 95%.
**Mechanism**: spine-derived-v1
**Template Id**: spine-founding-hypothesis
**Vocab Fingerprint**: 32b413455517f8ac

## Startup Token Positioning

**Genre**: moore-positioning
**Rendered**: Deterministic incident correlation service for Level 2 SOC analysts. Unlike manual log correlation in Splunk — attribute root causes without paying for data storage.
**Mechanism**: spine-derived-v1
**Template Id**: spine-moore-positioning
**Vocab Fingerprint**: 6d57cbefb9257e80

## Startup Token Pitch Deck

**Genre**: pitch-deck
**Rendered**: Problem: Manually correlating raw telemetry across Splunk Enterprise Security and CrowdStrike Falcon LogScale takes hours of lookups for a single alert.
Solution: What if you only paid for the threats you actually resolved? Cyberlume transforms raw telemetry into deterministic attack graphs, slashing manual correlation time by 95%.
Customer: Level 2 SOC analysts
Unlike: manual log correlation in Splunk
**Mechanism**: spine-derived-v1
**Template Id**: spine-pitch-deck
**Vocab Fingerprint**: 9542f293e10bf92e

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

**Pain**: Manually correlating raw telemetry across Splunk Enterprise Security and CrowdStrike Falcon LogScale takes hours of lookups for a single alert.
**Metrics**: Target: You deliver a complete, visually verifiable attack path to stakeholders within minutes, paying only for the resolved incident.
**Rendered**: Pain: Manually correlating raw telemetry across Splunk Enterprise Security and CrowdStrike Falcon LogScale takes hours of lookups for a single alert.
Economic buyer: Security Operations Center Analysts
Metrics: Target: You deliver a complete, visually verifiable attack path to stakeholders within minutes, paying only for the resolved incident.
Competition: manual log correlation in Splunk
**Mechanism**: spine-derived-v1
**Competition**: manual log correlation in Splunk
**Economic Buyer**: Security Operations Center Analysts
**Vocab Fingerprint**: ebdad4e8e8028a67

## Startup Token Cold Email

**Genre**: cold-email
**Rendered**: Subject: Deterministic incident correlation service for Level 2 SOC analysts

Level 2 SOC analysts — Manually correlating raw telemetry across Splunk Enterprise Security and CrowdStrike Falcon LogScale takes hours of lookups for a single alert. What if you only paid for the threats you actually resolved? Cyberlume transforms raw telemetry into deterministic attack graphs, slashing manual correlation time by 95%.
**Mechanism**: spine-derived-v1
**Template Id**: spine-cold-email
**Vocab Fingerprint**: fb0f22068d131e14

## Startup Token Agent Spec

**Genre**: ai-agent-spec
**Rendered**: Deterministic incident correlation service. What if you only paid for the threats you actually resolved? Cyberlume transforms raw telemetry into deterministic attack graphs, slashing manual correlation time by 95%. Serves Level 2 SOC analysts.
**Mechanism**: spine-derived-v1
**Template Id**: spine-ai-agent-spec
**Vocab Fingerprint**: 5282ca972f32f09b

## Neighborhood

### Candidate solutions

- [Dynamic Line Sheet Generation](/Problems/Dynamic_Line_Sheet_Generation) — candidate solution for · Problems

### What it offers

- [Cyberlume Graph Engine](/Software/Cyberlume_Graph_Engine) — offers · Software

### Composed of

- [Attack Graph Engine](/Software/Attack_Graph_Engine) — composes · Software
- [Incident Remediation Service](/Services/Incident_Remediation_Service) — composes · Services
- [Attack Attribution Agent](/Agents/Attack_Attribution_Agent) — composes · Agents
- [Telemetry Correlation Worker](/Agents/Telemetry_Correlation_Worker) — composes · Agents
- [Endpoint Telemetry API](/Software/Endpoint_Telemetry_API) — composes · Software

### Embodies

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

### Competitors

- [Splunk Enterprise Security](/Competitors/Splunk_Enterprise_Security) — competes with · Competitors
- [CrowdStrike Falcon LogScale](/Competitors/CrowdStrike_Falcon_LogScale) — competes with · Competitors
- [Exabeam Security Operations](/Competitors/Exabeam_Security_Operations) — competes with · Competitors
- [Manual Log Correlation](/Competitors/Manual_Log_Correlation) — competes with · Competitors
- [Palo Alto Cortex XSIAM](/Competitors/Palo_Alto_Cortex_XSIAM) — competes with · Competitors

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