# Sepsoph

*/Startups/Sepsoph*

## Startup Overview

An autonomous security engine directly investigates and resolves tier-one endpoint security alerts without human intervention. Instead of routing low-level alerts to a triage queue for manual review, the system executes the necessary remediation steps to neutralize threats on affected devices.

Enterprise security operations centers struggle under a high volume of routine endpoint alerts that consume analyst capacity. Security personnel waste critical shifts tracking down false positives, running basic diagnostics, and applying repetitive containment protocols.

Traditional tools like Splunk SOAR and CrowdStrike Falcon demand rigid playbook configuration and continuous human oversight, while legacy MSSPs rely on expensive manual triage. By functioning with complete autonomy, the engine eliminates the need for human review and operates on an outcome-based financial model, billing exclusively for each successfully resolved incident.

## Startup Founding Hypothesis

**Approach**: that remediates tier-one endpoint security alerts without human review
**Competitors**:
- [Splunk SOAR](/Competitors/Splunk_SOAR)
- [CrowdStrike Falcon](/Competitors/CrowdStrike_Falcon)
- [legacy MSSP analysts](/Competitors/legacy_MSSP_analysts)
**Differentiator2x2**: outcome-priced per resolved incident and completely autonomous in execution

## Startup Solution Coordinate

**Solution**: [Sepsoph Remediation Agent](/Agents/Sepsoph_Remediation_Agent)

## Startup Position2x2

```mermaid
quadrantChart
 x-axis "Human-in-the-loop" --> "Completely Autonomous"
 y-axis "Subscription/License" --> "Outcome-Priced"
 Sepsoph: [0.90, 0.85]
 Splunk SOAR: [0.40, 0.15]
 CrowdStrike Falcon: [0.70, 0.20]
 legacy MSSP analysts: [0.10, 0.30]
```

## Startup Offer

**Proof**:
- Targeting an 80% reduction in tier-one alert queues for mid-market security operations centers
- Aiming to isolate affected endpoints and kill malicious processes within 60 seconds of alert ingestion
- Designed to maintain a false-negative closure rate below 0.1% across all automated resolutions
**Tiers**:
- Name: Pay Per Resolution · Price: ~$15–$35 per resolved incident · Inclusions: Autonomous tier-one alert remediation with full audit trails, billed only when an alert is verified as a false positive or completely remediated.
- Name: Committed Volume · Price: ~$10,000–$25,000/yr base + ~$8–$12 per resolution · Inclusions: Lower per-incident outcome rate, intended direct data access to major SIEM platforms, and custom containment boundaries for specific endpoint groups.
**Guarantee**: If Sepsoph incorrectly classifies an alert or fails to execute the required containment steps, the resolution fee is waived and the alert is immediately routed to your human analysts at zero cost.
**Business Function**: ProvideService
**Objection Handlers**:
- Objection: We cannot trust an autonomous system to make network isolation decisions. Rebuttal: You define strict containment boundaries during setup; Sepsoph only takes actions that are pre-authorized for the specific asset class.
- Objection: What if the AI hallucinates a threat and takes a server offline? Rebuttal: Sepsoph cross-verifies indicators of compromise against threat intelligence feeds and requires multi-point confirmation before executing any disruptive action.
- Objection: We already pay for Splunk SOAR, why add this? Rebuttal: SOAR platforms require human engineers to build and maintain rigid playbooks; Sepsoph is a fully managed service that executes the remediation work itself, priced strictly on outcomes.
- Objection: How do we audit what it did? Rebuttal: Every resolution generates a deterministic log mapping the exact processes killed and registry keys reverted directly to the MITRE ATT&CK framework.
**Pricing Architecture**: UsageMeter
**Agent Checkout Support**:
- agentic-commerce-protocol

## Startup Brand

**Voice**: Clinical and precise, delivering unvarnished security facts without manufactured alarmism.
**Tagline**: Remediate tier-one endpoint security alerts with zero human review.
**Icon Concept**: workstation
**Palette Intent**: electric-signal
**Visual Identity**: A stark aesthetic combining deep terminal blacks with piercing neon-cyan typography and wireframe renderings of isolated hardware.
**Archetype Reference**: the-magician

## Startup Buyer Chain

**Chain**: Sepsoph → VP of SecOps → Enterprise SOC Team
**Gtm Motion**: Secures initial deployment via a read-only 'shadow mode' trial that runs alongside existing EDRs to prove autonomous resolution rates on historical alerts. Expands revenue organically as the customer authorizes Sepsoph to actively remediate increasingly complex alert tiers on a per-incident billing model.
**Agent Channel**: Intended for registration in the Model Context Protocol (MCP) catalog and LangChain tool registries, enabling broader IT autonomous agents to discover and trigger Sepsoph's specialized endpoint remediation playbooks via API.
**Primary Channel**: Direct outbound campaigns targeting SecOps leaders burdened by alert volume, supported by intended future listings on enterprise security marketplaces like the CrowdStrike Store for inbound search discovery.

## Startup Customer Journey

```mermaid
flowchart LR;A[Outbound Campaign]-->B[Shadow Mode Environment];B-->C[Resolved Alert Record];C-->D[Outcome-Based Contract];D-->E[Complex Alert Tiers];E-->F[SOC Case Study];
```

## Startup Proof Points

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

**Pilot Goals**:
- 30-day shadow deployment analyzing historical SIEM data: Validates the system's ability to cross-verify indicators of compromise against threat intelligence feeds with a false-negative rate under 0.1%.
- 14-day live containment trial on non-critical endpoint groups: Proves the system isolates affected machines and kills malicious processes within 60 seconds of alert ingestion without hallucinating threats.
**Target Metrics**:
- Target: 80% reduction in manual tier-one alert queues
- Aim: 60-second execution time for endpoint isolation and malicious process termination
- Target: 0.1% maximum false-negative closure rate across automated resolutions
- Aim: 100% mapping of deterministic resolution logs to the MITRE ATT&CK framework
**Target Case Studies**:
- Mid-market financial services SOC Director: Validates the transition from manually triaging 500+ daily tier-one alerts to achieving an 80% autonomous resolution rate, eliminating the need to expand L1 analyst headcount.
- Healthcare IT Security Manager: Demonstrates the shift from maintaining rigid SOAR playbooks to deploying a managed service that isolates compromised endpoints within 60 seconds using pre-authorized containment boundaries.
- Managed Service Provider Security Lead: Proves the financial viability of a usage-based resolution model, confirming a false-negative closure rate below 0.1% across multiple tenant environments.
**Testimonial Targets**:
- SOC Director: Expresses relief that strict containment boundaries prevent the system from taking unauthorized servers offline.
- Lead Security Engineer: Praises the deterministic logging mapped to the MITRE ATT&CK framework, contrasting it favorably against the maintenance burden of legacy SOAR platforms.
- VP of Information Security: Highlights the financial efficiency of the Pay Per Resolution model and the guarantee of zero-cost routing for incorrect classifications.

## Startup Top Risks

**Risks**:
- Severity: existential · Description: An automated false positive remediation disables a critical customer production server, causing catastrophic downtime and triggering massive liability claims. · Mitigation Status: unmitigated
- Severity: high · Description: Major EDR vendors like CrowdStrike restrict or revoke API access to prevent third-party autonomous write actions on their agents. · Mitigation Status: in-progress
- Severity: high · Description: Enterprise security teams refuse to grant the necessary read-write endpoint permissions due to strict internal compliance policies forbidding zero-human-in-the-loop actions. · Mitigation Status: in-progress
- Severity: moderate · Description: Outcome-based pricing per resolved incident leads to highly unpredictable revenue cycles as seasonal alert volumes fluctuate. · Mitigation Status: unmitigated

## Startup Competitors

- [Splunk SOAR](/Competitors/Splunk_SOAR) — Incumbent SOAR
- [CrowdStrike Falcon](/Competitors/CrowdStrike_Falcon) — Endpoint Security
- [Legacy MSSP Analysts](/Competitors/Legacy_MSSP_Analysts) — Status Quo
- [Cortex XSOAR](/Competitors/Cortex_XSOAR) — Incumbent Automation
- [In-House SOC Teams](/Competitors/In-House_SOC_Teams) — DIY Approach

## Startup Story Brand

**Hero**:
- **Need**: to protect the security team's focus for hunting complex threats, not triaging noise
- **Want**: to clear the tier-one alert queue without hiring more analysts
- **Identity**: the SOC manager at a mid-market security operations center
**Plan**:
- Step: Define boundaries · Detail: Set pre-authorized containment rules for specific asset classes like workstations or production servers.
- Step: Approve resolutions · Detail: Review the deterministic logs mapping every autonomous kill-action to the MITRE ATT&CK framework.
- Step: Reclaim bandwidth · Detail: Redirect your senior engineers to high-priority threat hunting while paying only for successfully resolved incidents.
**Guide**:
- **Empathy**: You shouldn't still be drowning in false positives. Splunk SOAR wasn't built to execute the actual remediation work without human-built playbooks.
**Problem**:
- **Villain**: alert fatigue
- **External**: Analysts spend their entire shift manually investigating false positives in CrowdStrike Falcon and Splunk SOAR instead of remediating breaches.
- **Internal**: You feel like a factory worker on a digital assembly line rather than a defender.
- **Philosophical**: Every security leader deserves an autonomous defense — not a mountain of data-entry tasks.
**Success**: The tier-one queue stays at zero, with every false positive cleared and every threat isolated autonomously before your team even logs in.
**One Liner**: Instead of burying analysts in manual triage, Sepsoph autonomously remediates tier-one endpoint alerts — clearing the queue in under sixty seconds.
**Positioning**:
- **So That**: clear alert queues without human intervention
- **Unlike**: legacy MSSP analysts and SOAR playbooks
- **For Whom**: the SOC manager at a mid-market security center
- **Category**: Autonomous SOC remediation service
**Call To Action**:
- **Direct**: Resolve first incident
- **Transitional**: Review sample remediation log
**Failure Stakes**:
- Critical breaches missed during peak noise
- Burnout-driven analyst turnover
- Unchecked lateral movement during manual triage
**Transformation**:
- **To**: the organization's strategic defender
- **From**: a SOC lead triaging CrowdStrike CSVs
**Controlling Idea**: Security remediation should be autonomous and priced by the outcome.

## Startup Token Hero

**Genre**: founding-hypothesis
**Rendered**: Instead of burying analysts in manual triage, Sepsoph autonomously remediates tier-one endpoint alerts — clearing the queue in under sixty seconds.
**Mechanism**: spine-derived-v1
**Template Id**: spine-founding-hypothesis
**Vocab Fingerprint**: c2d53e41b5c8f2f9

## Startup Token Positioning

**Genre**: moore-positioning
**Rendered**: Autonomous SOC remediation service for the SOC manager at a mid-market security center. Unlike legacy MSSP analysts and SOAR playbooks — clear alert queues without human intervention.
**Mechanism**: spine-derived-v1
**Template Id**: spine-moore-positioning
**Vocab Fingerprint**: 1ff4fdfc62ccb1ee

## Startup Token Pitch Deck

**Genre**: pitch-deck
**Rendered**: Problem: Analysts spend their entire shift manually investigating false positives in CrowdStrike Falcon and Splunk SOAR instead of remediating breaches.
Solution: Instead of burying analysts in manual triage, Sepsoph autonomously remediates tier-one endpoint alerts — clearing the queue in under sixty seconds.
Customer: the SOC manager at a mid-market security center
Unlike: legacy MSSP analysts and SOAR playbooks
**Mechanism**: spine-derived-v1
**Template Id**: spine-pitch-deck
**Vocab Fingerprint**: 77429f8184f2d120

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

**Pain**: Analysts spend their entire shift manually investigating false positives in CrowdStrike Falcon and Splunk SOAR instead of remediating breaches.
**Metrics**: Target: The tier-one queue stays at zero, with every false positive cleared and every threat isolated autonomously before your team even logs in.
**Rendered**: Pain: Analysts spend their entire shift manually investigating false positives in CrowdStrike Falcon and Splunk SOAR instead of remediating breaches.
Economic buyer: VP of SecOps
Metrics: Target: The tier-one queue stays at zero, with every false positive cleared and every threat isolated autonomously before your team even logs in.
Competition: legacy MSSP analysts and SOAR playbooks
**Mechanism**: spine-derived-v1
**Competition**: legacy MSSP analysts and SOAR playbooks
**Economic Buyer**: VP of SecOps
**Vocab Fingerprint**: d28ed11a073b38b5

## Startup Token Cold Email

**Genre**: cold-email
**Rendered**: Subject: Autonomous SOC remediation service for the SOC manager at a mid-market security center

the SOC manager at a mid-market security center — Analysts spend their entire shift manually investigating false positives in CrowdStrike Falcon and Splunk SOAR instead of remediating breaches. Instead of burying analysts in manual triage, Sepsoph autonomously remediates tier-one endpoint alerts — clearing the queue in under sixty seconds.
**Mechanism**: spine-derived-v1
**Template Id**: spine-cold-email
**Vocab Fingerprint**: bb6cc7b0fc291755

## Startup Token Agent Spec

**Genre**: ai-agent-spec
**Rendered**: Autonomous SOC remediation service. Instead of burying analysts in manual triage, Sepsoph autonomously remediates tier-one endpoint alerts — clearing the queue in under sixty seconds. Serves the SOC manager at a mid-market security center.
**Mechanism**: spine-derived-v1
**Template Id**: spine-ai-agent-spec
**Vocab Fingerprint**: 9542ece01de9b79a

## Neighborhood

### Candidate solutions

- [Foam Flammability Compliance](/Problems/Foam_Flammability_Compliance) — candidate solution for · Problems
- [API Integration Drop-Off](/Problems/API_Integration_Drop-Off) — candidate solution for · Problems

### Competitors

- [Splunk SOAR](/Competitors/Splunk_SOAR) — competes with · Competitors
- [CrowdStrike Falcon](/Competitors/CrowdStrike_Falcon) — competes with · Competitors
- [Cortex XSOAR](/Competitors/Cortex_XSOAR) — competes with · Competitors
- [In-House SOC Teams](/Competitors/In-House_SOC_Teams) — competes with · Competitors
- [Legacy MSSP Analysts](/Competitors/Legacy_MSSP_Analysts) — competes with · Competitors
- [Playwright](/Competitors/Playwright) — competes with · Competitors
- [AWS Lambda](/Competitors/AWS_Lambda) — competes with · Competitors
- [Custom Polling Loops](/Competitors/Custom_Polling_Loops) — competes with · Competitors
- [Synchronous REST Endpoints](/Competitors/Synchronous_REST_Endpoints) — competes with · Competitors
- [Containerized Playwright](/Competitors/Containerized_Playwright) — competes with · Competitors
- [Local Browser Containers](/Competitors/Local_Browser_Containers) — competes with · Competitors
- [Synchronous API Endpoints](/Competitors/Synchronous_API_Endpoints) — competes with · Competitors
- [Custom Webhook Listeners](/Competitors/Custom_Webhook_Listeners) — competes with · Competitors
- [Local Playwright Containers](/Competitors/Local_Playwright_Containers) — competes with · Competitors
- [Vercel Serverless Endpoints](/Competitors/Vercel_Serverless_Endpoints) — competes with · Competitors
- [Self-Hosted Playwright Containers](/Competitors/Self-Hosted_Playwright_Containers) — competes with · Competitors
- [Playwright Containers](/Competitors/Playwright_Containers) — competes with · Competitors
- [Webhook Listeners](/Competitors/Webhook_Listeners) — competes with · Competitors
- [Synchronous Extraction APIs](/Competitors/Synchronous_Extraction_APIs) — competes with · Competitors
- [Serverless Timeout Workarounds](/Competitors/Serverless_Timeout_Workarounds) — competes with · Competitors
- [Puppeteer](/Competitors/Puppeteer) — competes with · Competitors
- [Vercel Serverless](/Competitors/Vercel_Serverless) — competes with · Competitors
- [Custom Polling Middleware](/Competitors/Custom_Polling_Middleware) — competes with · Competitors
- [Puppeteer Containers](/Competitors/Puppeteer_Containers) — competes with · Competitors
- [local headless containers](/Competitors/local_headless_containers) — competes with · Competitors
- [Custom Polling Scripts](/Competitors/Custom_Polling_Scripts) — competes with · Competitors
- [Apify](/Competitors/Apify) — competes with · Competitors
- [Synchronous REST APIs](/Competitors/Synchronous_REST_APIs) — competes with · Competitors
- [Local Puppeteer Containers](/Competitors/Local_Puppeteer_Containers) — competes with · Competitors
- [Browserless](/Competitors/Browserless) — competes with · Competitors
- [Synchronous AWS Lambda](/Competitors/Synchronous_AWS_Lambda) — competes with · Competitors

### What it offers

- [Sepsoph Remediation Agent](/Agents/Sepsoph_Remediation_Agent) — offers · Agents

### Embodies

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

### Composed of

- [Managed Relay Service](/Services/Managed_Relay_Service) — composes · Services
- [Webhook Dispatch Worker](/Agents/Webhook_Dispatch_Worker) — composes · Agents
- [Payload Relay Agent](/Agents/Payload_Relay_Agent) — composes · Agents
- [Resilient Integration SDK](/Software/Resilient_Integration_SDK) — composes · Software
- [Asynchronous Queue Engine](/Software/Asynchronous_Queue_Engine) — composes · Software
- [Integration Conduit Service](/Services/Integration_Conduit_Service) — composes · Services
- [Scaffolding Synthesis Worker](/Agents/Scaffolding_Synthesis_Worker) — composes · Agents
- [Stream Buffer API](/Software/Stream_Buffer_API) — composes · Software
- [Asynchronous Hydration SDK](/Software/Asynchronous_Hydration_SDK) — composes · Software

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