# Dievista

*/Startups/Dievista*

## Startup Overview

Instead of drowning security teams in alerts, this platform maps unstructured runtime vulnerabilities directly into executable pull request patches. It bridges the gap between threat detection and remediation by automatically translating abstract vulnerability data into precise, committable code changes.

Application security and engineering teams currently rely on tools like Snyk, Dependabot, or manual Jira triage, which generate high volumes of noisy alerts but require developers to research and write the actual fixes. This system eliminates the triage backlog and manual coding burden by delivering ready-to-merge patches straight to the repository.

Unlike traditional scanners that charge for seats or analysis time, the service operates on an outcome-based pricing model, charging only per successful merge. Every generated patch is secured by deterministic code attestation, ensuring that the automated fixes introduce no secondary regressions and execute exactly as intended.

## Startup Founding Hypothesis

**Approach**: that maps unstructured runtime vulnerabilities into executable PR patches
**Competitors**:
- [Snyk](/Competitors/Snyk)
- [Dependabot](/Competitors/Dependabot)
- [manual Jira triage](/Competitors/manual_Jira_triage)
**Differentiator2x2**: outcome-priced per successful merge and secured by deterministic code attestation

## Startup Solution Coordinate

**Solution**: [Dievista Remediation Service](/Services/Dievista_Remediation_Service)

## Startup Position2x2

```mermaid
quadrantChart
    title Vulnerability Remediation Positioning
    x-axis "Seat-Based Pricing" --> "Outcome-Priced (Per Merge)"
    y-axis "Alerts & Manual Triage" --> "Deterministic Executable Patches"
    quadrant-1 "Attested Automated Fixes"
    quadrant-2 "Commodity Auto-Patching"
    quadrant-3 "Legacy Manual Ops"
    quadrant-4 "Boutique Remediation"
    Snyk: [0.25, 0.45]
    Dependabot: [0.15, 0.75]
    manual Jira triage: [0.10, 0.15]
    Dievista: [0.85, 0.85]
```

## Startup Offer

**Proof**:
- Targeting a reduction in mean-time-to-remediation (MTTR) for critical runtime vulnerabilities to under 4 hours.
- Aiming for a 95%+ first-pass merge rate on generated PRs across standard web frameworks.
- Seeking to eliminate 100% of manual Jira triage for supported known CVEs.
**Tiers**:
- Name: Pay-Per-Merge · Price: ~$40–$80 per successfully merged PR · Inclusions: Runtime vulnerability mapping, deterministic code attestation, and executable PR generation with no upfront platform fee.
- Name: Enterprise Volume · Price: ~$30k–$60k/yr commitment · Inclusions: Pre-purchased block of up to 1,000 merged PRs, prioritized remediation queues, and designed to integrate with custom internal container registries.
**Guarantee**: You are only billed for PRs that successfully pass your CI/CD pipeline and are merged by your maintainers; patches that fail tests or are rejected incur zero cost.
**Business Function**: ProvideService
**Objection Handlers**:
- Objection: AI-generated code will break our build. Rebuttal: Dievista is designed to validate patches against your existing CI/CD test suite, ensuring fixes pass all unit tests before opening a PR.
- Objection: We already use Dependabot and Snyk. Rebuttal: Those tools flag issues or automate simple version bumps; Dievista writes executable code patches for complex runtime vulnerabilities where a simple bump is insufficient.
- Objection: How do we audit the generated code? Rebuttal: Every patch is secured by deterministic code attestation, providing an auditable cryptographic trail of exactly how the fix was synthesized from the vulnerability report.
**Pricing Architecture**: UsageMeter
**Agent Checkout Support**:
- agentic-commerce-protocol

## Startup Brand

**Voice**: Technical and authoritative, using precise terminology to describe risk resolution.
**Tagline**: Runtime vulnerabilities resolved with executable pull requests.
**Icon Concept**: terminal
**Palette Intent**: electric-signal
**Visual Identity**: Terminal greens and alert ambers cut through a deep charcoal background, paired with monospaced typography to evoke a secure command-line environment.
**Archetype Reference**: the-magician

## Startup Buyer Chain

**Chain**: Dievista → AppSec Manager → Application Developer
**Gtm Motion**: Acquires engineering teams through single-repository installations that automatically open fix PRs, charging only when a developer successfully merges the patch. Expands across the enterprise as security leaders review the deterministic code attestations and mandate the workflow across all organizational CI/CD pipelines.
**Agent Channel**: Designed to list in the Model Context Protocol (MCP) registry and GitHub Copilot Extensions catalog, allowing autonomous developer agents to discover and invoke the vulnerability-to-PR patching capability during automated code audits.
**Primary Channel**: GitHub Marketplace and GitLab Partner Directory, discovered when DevSecOps engineers search for "automated CVE patching" or "runtime vulnerability remediation" within their version control environments.

## Startup Customer Journey

```mermaid
flowchart LR; A[GitHub Marketplace] --> B[Single-Repository Installation]; B --> C[Vulnerability Report]; C --> D[Generated Code Patch]; D --> E[Merged PR]; E --> F[Code Attestation Log]; F --> G[Enterprise CI/CD Pipeline];
```

## 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 bounded pilot on a single high-traffic repository, aiming to successfully merge at least 20 generated PRs for complex runtime vulnerabilities without a single CI/CD pipeline failure.
- 60-day trial with a mid-sized engineering team targeting the complete clearance of a specific known-CVE backlog, demonstrating a 90%+ acceptance rate by core maintainers without upfront platform fees.
**Target Metrics**:
- target: under 4 hours mean-time-to-remediation (MTTR) for critical runtime vulnerabilities
- aim: 95%+ first-pass merge rate on generated PRs across standard web frameworks
- target: 100% elimination of manual Jira triage for supported known CVEs
- aim: 0 broken builds from merged patches due to strict pre-PR CI/CD validation
**Target Case Studies**:
- Mid-market Fintech AppSec Manager: Shift from manually triaging and patching 50+ monthly runtime vulnerabilities to approving pre-tested Dievista PRs, proving a drop in MTTR for critical CVEs.
- Enterprise SaaS VP of Engineering: Replace a backlog of unpatched complex vulnerabilities, where simple version bumps fail, with an automated pay-per-merge workflow that costs nothing when patches are rejected.
- Cloud Infrastructure DevSecOps Lead: Achieve instant auditability for all automated security patches using Dievista deterministic code attestation to clear strict compliance bottlenecks.
**Testimonial Targets**:
- VP of Engineering validating that the pay-per-merge pricing structure completely removes the financial risk of adopting an automated patching tool.
- Principal AppSec Engineer praising the deterministic code attestation for providing a clear, auditable cryptographic trail that satisfies their strict compliance requirements.
- Lead Developer expressing relief that the service writes executable code patches for complex runtime vulnerabilities that standard dependency-bumpers leave behind.

## Startup Top Risks

**Risks**:
- Severity: existential · Description: Generated patches introduce functional regressions that break customer builds, destroying trust and resulting in zero revenue under the pay-per-merge model. · Mitigation Status: unmitigated
- Severity: high · Description: Attackers poison the unstructured runtime vulnerability feed to trick the engine into generating malicious backdoor patches. · Mitigation Status: in-progress
- Severity: high · Description: The engine fails to accurately map runtime vulnerabilities back to correct source code lines in heavily obfuscated or compiled enterprise environments. · Mitigation Status: in-progress
- Severity: moderate · Description: Incumbents like Snyk bundle automated PR generation into their existing enterprise vulnerability scanners and distribute it to their massive install base. · Mitigation Status: unmitigated

## Startup Competitors

- [Snyk](/Competitors/Snyk) — AppSec Incumbent
- [Dependabot](/Competitors/Dependabot) — Status Quo
- [Manual Jira Triage](/Competitors/Manual_Jira_Triage) — Manual Workflow
- [Mend](/Competitors/Mend) — Legacy AppSec
- [GitHub Advanced Security](/Competitors/GitHub_Advanced_Security) — Platform Feature

## Startup Solution Stack

- [Dievista Remediation Service](/Services/Dievista_Remediation_Service) — Service-as-Software
- [Patch Generation Agent](/Agents/Patch_Generation_Agent) — Agent
- [Vulnerability Triage Worker](/Agents/Vulnerability_Triage_Worker) — Agent
- [Runtime Mapping Engine](/Software/Runtime_Mapping_Engine) — Software
- [Code Attestation API](/Software/Code_Attestation_API) — Software

## Startup Story Brand

**Hero**:
- **Need**: to lead a high-velocity engineering culture that ships secure code by default
- **Want**: to eliminate critical runtime vulnerabilities without losing days to manual patching
- **Identity**: the security-conscious lead developer at a cloud-native software firm
**Plan**:
- Step: Submit · Detail: Upload your runtime vulnerability report or connect your security scanner results.
- Step: Inspect · Detail: Verify the deterministic code attestation and review the synthesized patch for the specific CVE.
- Step: Merge · Detail: Approve the pull request once it passes your automated unit tests and build pipeline.
**Guide**:
- **Empathy**: When a critical CVE hits your production environment, the scramble to find the right line of code interrupts every sprint goal.
**Problem**:
- **Villain**: manual Jira triage
- **External**: Security teams flag CVEs in Snyk, but fixing them requires developers to manually hunt down runtime vulnerabilities and write custom patches line-by-line.
- **Internal**: You feel like a janitor cleaning up endless vulnerability backlogs instead of building new features.
- **Philosophical**: Why should engineering teams accept a mounting security debt when runtime risks can be mapped directly to executable code?
**Success**: Runtime vulnerabilities are resolved in under four hours with patches that pass every test and merge seamlessly into your codebase.
**One Liner**: Every sprint, lead developers struggle with manual Jira triage. Dievista maps runtime vulnerabilities to executable PRs so teams can secure their code without slowing down.
**Positioning**:
- **So That**: runtime vulnerabilities are resolved with executable patches that pass CI
- **Unlike**: Snyk and Dependabot
- **For Whom**: security-conscious lead developers
- **Category**: Automated Vulnerability Remediation
**Call To Action**:
- **Direct**: Generate a patch
- **Transitional**: View sample code attestation
**Failure Stakes**:
- Critical CVEs remain unpatched
- Production systems remain exposed
- Developer burnout from triage duty
**Transformation**:
- **To**: free to ship features, no longer stuck writing repetitive security patches
- **From**: a developer buried in Snyk alerts and Jira tickets
**Controlling Idea**: Remediation should be as automated as discovery.

## Startup Token Hero

**Genre**: founding-hypothesis
**Rendered**: Every sprint, lead developers struggle with manual Jira triage. Dievista maps runtime vulnerabilities to executable PRs so teams can secure their code without slowing down.
**Mechanism**: spine-derived-v1
**Template Id**: spine-founding-hypothesis
**Vocab Fingerprint**: bc8b4e7e26c7d4a9

## Startup Token Positioning

**Genre**: moore-positioning
**Rendered**: Automated Vulnerability Remediation for security-conscious lead developers. Unlike Snyk and Dependabot — runtime vulnerabilities are resolved with executable patches that pass CI.
**Mechanism**: spine-derived-v1
**Template Id**: spine-moore-positioning
**Vocab Fingerprint**: 359774e316c25268

## Startup Token Pitch Deck

**Genre**: pitch-deck
**Rendered**: Problem: Security teams flag CVEs in Snyk, but fixing them requires developers to manually hunt down runtime vulnerabilities and write custom patches line-by-line.
Solution: Every sprint, lead developers struggle with manual Jira triage. Dievista maps runtime vulnerabilities to executable PRs so teams can secure their code without slowing down.
Customer: security-conscious lead developers
Unlike: Snyk and Dependabot
**Mechanism**: spine-derived-v1
**Template Id**: spine-pitch-deck
**Vocab Fingerprint**: 2780db2c47effd32

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

**Pain**: Security teams flag CVEs in Snyk, but fixing them requires developers to manually hunt down runtime vulnerabilities and write custom patches line-by-line.
**Metrics**: Target: Runtime vulnerabilities are resolved in under four hours with patches that pass every test and merge seamlessly into your codebase.
**Rendered**: Pain: Security teams flag CVEs in Snyk, but fixing them requires developers to manually hunt down runtime vulnerabilities and write custom patches line-by-line.
Economic buyer: AppSec Manager
Metrics: Target: Runtime vulnerabilities are resolved in under four hours with patches that pass every test and merge seamlessly into your codebase.
Competition: Snyk and Dependabot
**Mechanism**: spine-derived-v1
**Competition**: Snyk and Dependabot
**Economic Buyer**: AppSec Manager
**Vocab Fingerprint**: ef648cba9417c09e

## Startup Token Cold Email

**Genre**: cold-email
**Rendered**: Subject: Automated Vulnerability Remediation for security-conscious lead developers

security-conscious lead developers — Security teams flag CVEs in Snyk, but fixing them requires developers to manually hunt down runtime vulnerabilities and write custom patches line-by-line. Every sprint, lead developers struggle with manual Jira triage. Dievista maps runtime vulnerabilities to executable PRs so teams can secure their code without slowing down.
**Mechanism**: spine-derived-v1
**Template Id**: spine-cold-email
**Vocab Fingerprint**: a162b4e2c05ea3b9

## Startup Token Agent Spec

**Genre**: ai-agent-spec
**Rendered**: Automated Vulnerability Remediation. Every sprint, lead developers struggle with manual Jira triage. Dievista maps runtime vulnerabilities to executable PRs so teams can secure their code without slowing down. Serves security-conscious lead developers.
**Mechanism**: spine-derived-v1
**Template Id**: spine-ai-agent-spec
**Vocab Fingerprint**: 4e190ebc5bb06511

## Neighborhood

### Candidate solutions

- [Unpredictable Die Tooling Wear](/Problems/Unpredictable_Die_Tooling_Wear) — candidate solution for · Problems

### Composed of

- [Dievista Remediation Service](/Services/Dievista_Remediation_Service) — composes · Services
- [Patch Generation Agent](/Agents/Patch_Generation_Agent) — composes · Agents
- [Code Attestation API](/Software/Code_Attestation_API) — composes · Software
- [Runtime Mapping Engine](/Software/Runtime_Mapping_Engine) — composes · Software
- [Vulnerability Triage Worker](/Agents/Vulnerability_Triage_Worker) — composes · Agents

### Embodies

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

### Competitors

- [Dependabot](/Competitors/Dependabot) — competes with · Competitors
- [Snyk](/Competitors/Snyk) — competes with · Competitors
- [Manual Jira Triage](/Competitors/Manual_Jira_Triage) — competes with · Competitors
- [Mend](/Competitors/Mend) — competes with · Competitors
- [GitHub Advanced Security](/Competitors/GitHub_Advanced_Security) — competes with · Competitors

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