# Visibilitygrain

*/Startups/Visibilitygrain*

## Startup Overview

This security engine maps live runtime execution paths directly to vulnerable software dependencies. Instead of flagging every known vulnerability in a codebase, it traces exactly which vulnerable packages are actively invoked during application execution. This allows engineering teams to identify the precise components that expose their systems to risk in production environments.

Security and DevOps teams face thousands of alerts for theoretical vulnerabilities in code that never actually runs. Traditional scanners flag every imported library, creating alert fatigue and obscuring genuine threats. By filtering out unused dependencies, this tool eliminates the noise of dormant vulnerabilities, focusing remediation efforts exclusively on the attack surface that actually exists in memory.

While static code analyzers, Snyk Container, and Aqua Security rely on passive container scanning and manifest analysis, this approach is entirely execution-context aware. It proves whether a flaw is reachable before triggering an alert. Furthermore, the commercial model aligns directly with security outcomes, pricing the service strictly per verified mitigation rather than per scanned image or developer seat.

## Startup Founding Hypothesis

**Approach**: that maps runtime execution paths to vulnerable software dependencies
**Competitors**:
- [Static code analyzers](/Competitors/Static_code_analyzers)
- [Snyk Container](/Competitors/Snyk_Container)
- [Aqua Security](/Competitors/Aqua_Security)
**Differentiator2x2**: execution-context aware and priced strictly per verified mitigation

## Startup Solution Coordinate

**Solution**: [Runtime Context Tracer](/Software/Runtime_Context_Tracer)

## Startup Position2x2

```mermaid
quadrantChart
x-axis Traditional Seat Pricing --> Priced per Verified Mitigation
y-axis Context-Blind Scanning --> Execution-Context Aware
Static code analyzers: [0.15, 0.15]
Snyk Container: [0.25, 0.35]
Aqua Security: [0.20, 0.70]
Visibilitygrain: [0.85, 0.90]
```

## Startup Offer

**Proof**:
- Aiming to eliminate 75% of static vulnerability backlogs for cloud-native engineering teams.
- Targeting sub-millisecond overhead for runtime execution tracking via eBPF.
- Designed to autonomously verify over 1,000 container mitigations monthly for enterprise deployments.
**Tiers**:
- Name: On-Demand Mitigation · Price: ~$50–$90 per verified mitigation · Inclusions: Execution path mapping for up to 25 workloads, automated reachability analysis, and standard ticketing integrations. Best for small-to-medium DevOps teams.
- Name: Enterprise Scale · Price: ~$4k–$8k/mo base + ~$25 per mitigation · Inclusions: Unlimited workloads, custom eBPF deployment configurations, SIEM data export, and dedicated security SLAs. Intended for large cloud-native environments.
**Guarantee**: If a vulnerability is billed as mitigated but is later proven reachable in the same runtime execution context within 30 days, the mitigation charge is fully refunded.
**Business Function**: ProvideService
**Objection Handlers**:
- Objection: We already scan images in our CI/CD pipeline using Snyk. Rebuttal: Static scans flag every CVE; Visibilitygrain maps actual runtime execution so you only pay to fix reachable threats.
- Objection: Runtime monitoring degrades application performance in production. Rebuttal: Designed to utilize lightweight eBPF hooks to map execution contexts with near-zero latency overhead.
- Objection: Budgeting for per-mitigation pricing is unpredictable. Rebuttal: You only pay when a true threat is provably neutralized, directly aligning your security spend with actual risk reduction rather than scanner usage.
**Pricing Architecture**: UsageMeter
**Agent Checkout Support**:
- agentic-commerce-protocol

## Startup Brand

**Voice**: Analytical and direct, emphasizing forensic precision over fearmongering
**Tagline**: Fix only the vulnerabilities that actually execute in production
**Icon Concept**: sieve
**Palette Intent**: electric-signal
**Visual Identity**: High-contrast neon green and terminal black emphasize the forensic visibility of active execution paths.
**Archetype Reference**: the-sage

## Startup Buyer Chain

**Chain**: Visibilitygrain -> DevSecOps Lead -> Security Engineer -> Application Developer
**Gtm Motion**: Acquisition targets DevSecOps teams overwhelmed by static analysis alerts via a lightweight proof-of-concept deployment that instantly filters unexecuted vulnerable dependencies. Expansion scales automatically as the system connects to more production clusters, billing exclusively per verified mitigation rather than per scan or seat.
**Agent Channel**: Intended for listing in autonomous SOC capability catalogs and developer agent tool registries, allowing AI security assistants to programmatically query runtime execution paths to verify if a dependency is actually invoked before drafting a patch.
**Primary Channel**: Developer-focused discovery through GitHub repositories offering open-source vulnerability triage scripts, capturing search intent for queries like 'reduce container false positives' and directing them to a self-serve sidecar installation.

## Startup Customer Journey

```mermaid
flowchart LR; A[GitHub Repository] --> B[Self-Serve Sidecar]; B --> C[Reachability Report]; C --> D[eBPF Sensor]; D --> E[Cluster Fleet]; E --> F[AI Security Assistant];
```

## 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 deployment on a high-traffic microservices cluster: Aims to prove sub-millisecond latency overhead and map execution paths for 25 workloads without disrupting live production environments.
- 30-day proof-of-value with a mid-sized DevOps team: Targets the automated reachability analysis of an existing CI/CD static scanner backlog to definitively filter out at least 70 percent of non-reachable CVEs.
**Target Metrics**:
- Target: 75 percent reduction in static vulnerability backlogs
- Aim: Sub-millisecond latency overhead for runtime execution tracking via eBPF
- Target: 1,000 autonomous container mitigations verified monthly per enterprise deployment
**Target Case Studies**:
- Mid-sized cloud-native SaaS engineering team: Eliminates static CVE backlogs by filtering out non-reachable vulnerabilities via eBPF runtime execution mapping, saving developer triage time.
- Enterprise DevOps team managing thousands of containers: Automates the verification of mitigations across unlimited workloads without degrading application performance, shifting security spend from flat-fee scanner licenses to a strict pay-per-mitigation model.
**Testimonial Targets**:
- DevSecOps Lead: Expresses relief that engineers only patch vulnerabilities that actually execute in runtime, eliminating friction over theoretical CVEs flagged by static pipelines.
- VP of Engineering: Validates the usage-based pricing model for aligning security budget directly with provably neutralized threats rather than paying for a list of potential flaws.
- Cloud Infrastructure Architect: Confirms the eBPF deployment requires zero changes to application code and introduces no noticeable latency in live production workloads.

## Startup Top Risks

**Risks**:
- Severity: existential · Description: Cloud orchestration platforms restrict the kernel-level privileges required to map runtime execution paths, blinding the core detection engine. · Mitigation Status: unmitigated
- Severity: high · Description: Pricing strictly per verified mitigation results in unpredictable revenue streams if enterprise security teams delay their patching cycles. · Mitigation Status: in-progress
- Severity: moderate · Description: The runtime monitoring agent introduces unacceptable latency overhead in high-throughput customer production environments, prompting uninstalls. · Mitigation Status: in-progress
- Severity: moderate · Description: Incumbents like Snyk or Aqua Security bundle open-source runtime context tools into their existing enterprise contracts at no additional cost. · Mitigation Status: unmitigated

## Startup Competitors

- [Static Code Analyzers](/Competitors/Static_Code_Analyzers) — Status Quo
- [Snyk Container](/Competitors/Snyk_Container) — Incumbent
- [Aqua Security](/Competitors/Aqua_Security) — Incumbent
- [Sysdig Secure](/Competitors/Sysdig_Secure) — Runtime Security
- [Wiz](/Competitors/Wiz) — Cloud Security Posture

## Startup Solution Stack

- [Verified Mitigation Service](/Services/Verified_Mitigation_Service) — Service-as-Software
- [Context Tracing Agent](/Agents/Context_Tracing_Agent) — Agent
- [Vulnerability Correlation Worker](/Agents/Vulnerability_Correlation_Worker) — Agent
- [Runtime Context SDK](/Software/Runtime_Context_SDK) — Software
- [Execution Telemetry Engine](/Software/Execution_Telemetry_Engine) — Software

## Startup Story Brand

**Hero**:
- **Need**: to be the engineer who secures the system, not the one chasing ghosts
- **Want**: to clear the massive backlog of unverified CVEs in the security queue
- **Identity**: the DevOps lead at a cloud-native engineering firm
**Plan**:
- Step: Deploy sensor · Detail: Install our lightweight eBPF hooks into your Kubernetes clusters to monitor active execution paths with near-zero latency.
- Step: Confirm reachability · Detail: Review the dashboard to see which Snyk-flagged CVEs are actually touched by your live production traffic.
- Step: Mitigate threats · Detail: Neutralize the verified active risks and pay only for the specific vulnerabilities we provably map and fix.
**Guide**:
- **Empathy**: Engineering cycles are won in the production environment — but they are often wasted on vulnerabilities that never fire.
**Problem**:
- **Villain**: static noise
- **External**: Snyk Container flags thousands of vulnerabilities in the CI/CD pipeline that never actually execute in production
- **Internal**: You feel paralyzed by an endless list of false-positive criticals that drain your team's energy
- **Philosophical**: Why should DevOps teams accept the burden of fixing unreachable code when runtime context is measurable?
**Success**: Your backlog is reduced by 75% as you ignore the noise and focus resources on code paths that actually run.
**One Liner**: What if you only fixed what actually runs? Visibilitygrain maps runtime execution paths to vulnerable dependencies, ensuring you only pay to mitigate provably reachable threats.
**Positioning**:
- **So That**: mitigate only the reachable vulnerabilities that pose actual production risk
- **Unlike**: Static code analyzers and Snyk
- **For Whom**: DevOps leads at cloud-native firms
- **Category**: Runtime vulnerability reachability analysis
**Call To Action**:
- **Direct**: Launch a mitigation
- **Transitional**: View execution path map
**Failure Stakes**:
- Wasted engineering sprints
- Security team burnout
- Production downtime from unnecessary patches
**Transformation**:
- **To**: free to build resilient infrastructure, no longer triaging unreachable vulnerabilities
- **From**: the developer buried in Snyk spreadsheet workarounds
**Controlling Idea**: Security spend and effort must align with actual runtime risk, not static scans.

## Startup Token Hero

**Genre**: founding-hypothesis
**Rendered**: What if you only fixed what actually runs? Visibilitygrain maps runtime execution paths to vulnerable dependencies, ensuring you only pay to mitigate provably reachable threats.
**Mechanism**: spine-derived-v1
**Template Id**: spine-founding-hypothesis
**Vocab Fingerprint**: b4b9c31d86c68f6c

## Startup Token Positioning

**Genre**: moore-positioning
**Rendered**: Runtime vulnerability reachability analysis for DevOps leads at cloud-native firms. Unlike Static code analyzers and Snyk — mitigate only the reachable vulnerabilities that pose actual production risk.
**Mechanism**: spine-derived-v1
**Template Id**: spine-moore-positioning
**Vocab Fingerprint**: b9d36008007fec39

## Startup Token Pitch Deck

**Genre**: pitch-deck
**Rendered**: Problem: Snyk Container flags thousands of vulnerabilities in the CI/CD pipeline that never actually execute in production
Solution: What if you only fixed what actually runs? Visibilitygrain maps runtime execution paths to vulnerable dependencies, ensuring you only pay to mitigate provably reachable threats.
Customer: DevOps leads at cloud-native firms
Unlike: Static code analyzers and Snyk
**Mechanism**: spine-derived-v1
**Template Id**: spine-pitch-deck
**Vocab Fingerprint**: a985311b2c00e080

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

**Pain**: Snyk Container flags thousands of vulnerabilities in the CI/CD pipeline that never actually execute in production
**Metrics**: Target: Your backlog is reduced by 75% as you ignore the noise and focus resources on code paths that actually run.
**Rendered**: Pain: Snyk Container flags thousands of vulnerabilities in the CI/CD pipeline that never actually execute in production
Economic buyer: DevSecOps Lead
Metrics: Target: Your backlog is reduced by 75% as you ignore the noise and focus resources on code paths that actually run.
Competition: Static code analyzers and Snyk
**Mechanism**: spine-derived-v1
**Competition**: Static code analyzers and Snyk
**Economic Buyer**: DevSecOps Lead
**Vocab Fingerprint**: c8acbbc3dc52b947

## Startup Token Cold Email

**Genre**: cold-email
**Rendered**: Subject: Runtime vulnerability reachability analysis for DevOps leads at cloud-native firms

DevOps leads at cloud-native firms — Snyk Container flags thousands of vulnerabilities in the CI/CD pipeline that never actually execute in production What if you only fixed what actually runs? Visibilitygrain maps runtime execution paths to vulnerable dependencies, ensuring you only pay to mitigate provably reachable threats.
**Mechanism**: spine-derived-v1
**Template Id**: spine-cold-email
**Vocab Fingerprint**: de0e6622550adcdd

## Startup Token Agent Spec

**Genre**: ai-agent-spec
**Rendered**: Runtime vulnerability reachability analysis. What if you only fixed what actually runs? Visibilitygrain maps runtime execution paths to vulnerable dependencies, ensuring you only pay to mitigate provably reachable threats. Serves DevOps leads at cloud-native firms.
**Mechanism**: spine-derived-v1
**Template Id**: spine-ai-agent-spec
**Vocab Fingerprint**: 1ecab5e16b895986

## Neighborhood

### Candidate solutions

- [Calculate Grower Liquidations](/Problems/Calculate_Grower_Liquidations) — candidate solution for · Problems

### Composed of

- [Verified Mitigation Service](/Services/Verified_Mitigation_Service) — composes · Services
- [Context Tracing Agent](/Agents/Context_Tracing_Agent) — composes · Agents
- [Execution Telemetry Engine](/Software/Execution_Telemetry_Engine) — composes · Software
- [Vulnerability Correlation Worker](/Agents/Vulnerability_Correlation_Worker) — composes · Agents
- [Runtime Context SDK](/Software/Runtime_Context_SDK) — composes · Software

### What it offers

- [Runtime Context Tracer](/Software/Runtime_Context_Tracer) — offers · Software

### Embodies

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

### Competitors

- [Aqua Security](/Competitors/Aqua_Security) — competes with · Competitors
- [Sysdig Secure](/Competitors/Sysdig_Secure) — competes with · Competitors
- [Wiz](/Competitors/Wiz) — competes with · Competitors
- [Static Code Analyzers](/Competitors/Static_Code_Analyzers) — competes with · Competitors
- [Snyk Container](/Competitors/Snyk_Container) — competes with · Competitors

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