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DEEPBOM

github.comInfrastructure

PulseGate's liveness check found it on 9 Oct 2026; it has been in the index since 8 Sep 2026. How this is checked

DEEPBOM is an open-source command-line tool for locally analyzing deployed AI model artifacts and generating supporting evidence. It is intended for engineers who need to inspect model components, dependencies, and provenance for security or compliance workflows.

Inferred · not functionally tested

Open SourceCLISelf-hosted
DEEPBOM preview
Visit github.com

Overview

5 features

Purpose: Verifying and documenting the security and provenance of deployed AI model artifacts.

Inferred · not functionally tested

Audience: AI and machine-learning engineers

Inferred · not functionally tested

Functions: data_extraction

Inferred · not functionally tested

Interfaces: API: unknown · MCP: unknown · CLI: indicated (inferred, not tested) · Self-hosting: indicated (inferred, not tested)

Recorded constraints: pricing: open_source · license: Open Source · platforms: CLI · deployment: cli, self_hosted

Constraint provenance is unknown; confirm requirements with the publisher.

Record sources: github.com. These links do not verify the individual claims.

DEEPBOM is an Application security & vulnerability scanning project. Inferred · not functionally tested: It focuses on verifying and documenting the security and provenance of deployed AI model artifacts. Inferred · not functionally tested: It is built as an open-source project for AI and machine-learning engineers. Basis unknown · not verified: DEEPBOM is open source under the Open Source license. Basis unknown · not verified: It runs on the command line, and it can be self-hosted.

It is developed by JunHwan Kwon. Inferred · not functionally tested: Key capabilities include static analysis, evidence generation, and artifact inspection.

Summary written by a language model from the project’s public pages.

Tasks: Inferred · not functionally tested

  • Static analysis
  • Evidence generation
  • Artifact inspection
  • Dependency analysis
  • Local execution

Topics: Inferred · not functionally tested

Tags
ai-artifact-analysismodel-provenancestatic-analysisevidence-generation

JSON profile · Text profile · Access guide

Built with & integrations

Runs on
CLISelf-hosted

Trust & compliance

License
Open Source
Public signals
HTTPSOpen SourceFree tier

Indexing history

1

What PulseGate has recorded for this listing

  1. Indexed8 Sep · 18:09 UTC
    DEEPBOM seen via MCP Registry (official)
    Source: MCP Registry (official) · Open

Frequently asked questions about DEEPBOM

What is DEEPBOM?
Inferred · not functionally tested: DEEPBOM focuses on verifying and documenting the security and provenance of deployed AI model artifacts. It is catalogued under Application security & vulnerability scanning on PulseGate.
Who is DEEPBOM for?
Inferred · not functionally tested: DEEPBOM is an open-source project built for AI and machine-learning engineers.
Is DEEPBOM free?
Basis unknown · not verified: Yes — DEEPBOM is open source under the Open Source license and free to use.
What platforms does DEEPBOM run on?
Basis unknown · not verified: DEEPBOM runs on the command line. It can also be self-hosted.
Is DEEPBOM still active?
PulseGate's liveness check found it on 9 Oct 2026.
Who develops DEEPBOM?
DEEPBOM is developed by JunHwan Kwon.
Is DEEPBOM open source?
Basis unknown · not verified: Yes — DEEPBOM is open source under the Open Source license.

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