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IN THE FIELD GUIDE

safeguard

safeguard.sh

Safeguard is an AI-native software supply chain security platform that autonomously finds and fixes vulnerabilities by ranking findings based on reachability and authoring fixes as pull requests. It integrates scanning, reachability analysis, autonomous remediation, and compliance management into a single control plane covering dependencies, containers, and compliance frameworks.

THE PRODUCT, BEYOND THE PITCH

Automatically researched · Not editorially reviewed · Sources checked Sep 16, 2026

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A good fit for

Not confirmed yet.

Know the limitations

Not confirmed yet.

What you can do

  • Securing regulated enterprises with compliance to frameworks such as FedRAMP, SOC 2, and others.
  • Finding and fixing Zero Day vulnerabilities before public patches exist, protecting customers proactively.

Features

  • Reachability-based vulnerability scanning prioritizes findings that are actually exploitable.
  • Autonomous remediation with Griffin AI authors compatible upgrades, runs CI, validates tests, and merges pull requests automatically.
  • Continuous SBOM generation and attestation with SLSA provenance stamping and policy-gated merges.

Integrations

  • Integrates with CI systems to run tests and merge pull requests automatically.

Platforms & data export

  • Publishes CycloneDX and SPDX SBOMs for downstream consumers and enterprises.

THE COST FOR YOUR TEAM

Go beyond the starting price.

Published plan prices for your team size and usage. Results update as you type. Taxes, currency conversion and unlisted add-ons are excluded, and anything the source did not state is called out rather than guessed.

Known monthly subtotal

$0.00/month

1 of 1 tools could not be priced with these inputs, so this is not the full cost.

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Tool / planMonthlyPer yearWhat this assumes
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A practical workflow

  1. Ingest and map every repository, container, and manifest into a live SBOM graph including deep transitive dependencies.
  2. Prove reachability of vulnerabilities using call-graph analysis and adversarial disproof before alerting users.
  3. Fix and verify by authoring patches, running CI, and validating tests in a sandboxed branch before merging.

Based on the sources below. Editorial review does not imply hands-on product testing.

Alternatives to explore

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Candidates based on category and primary feature. Check feature and pricing differences before switching.

Nurbak logo

Nurbak is an AI-powered penetration testing tool that analyzes GitHub repositories for exploitable vulnerabilities using its own AI model without sending code to third-party AI services. It provides prioritized security findings, remediation advice, and can generate fix pull requests, all while ensuring code privacy through ephemeral infrastructure and zero retention policies.

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Sources & research

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