Trustworthy Supply-Chain Security with Audit-Ready Reports

Disclaimer: This document is partner-advertisement material produced to promote the Scry APT AI security framework by Scry.pro. It describes the product, the market problems it is built to solve, and how it works, for promotional and educational purposes.

The market challenge

Container images as a part of delivery infrastructure alongside software-supply-chain security is now a board-level concern, and auditors expect documented, repeatable proof of vulnerability management — not screenshots taken a week before the audit. Engineering and security teams face three recurring problems:

• Artefact drift. What a developer committed and what a build system bakes into the final image can differ: base-image CVEs, transitive OS packages and build-time additions never appear in a source lock-file.
• Tool sprawl. Container scanning (e.g. Snyk, Qualys, Aikido, etc.), code-quality and SAST (e.g. SonarQube or Cloud) and report assembly typically live in separate places, producing inconsistent, hard-to-archive evidence.
• Audit friction. SOC 2 and ISO/IEC 27001 reviewers want consistent, time-stamped, attributable artefacts that can be reproduced on demand.

Why today's approaches fall short

Source-only scanning answers "what is declared in the repository?" when the question that matters is "what is shipping in the image?" A clean lock-file scan can sit beside a production image carrying a critical base-layer CVE. And because reports are assembled by hand, they vary run to run, which is exactly what an auditor flags.

About Scry.pro

Scry.pro is a SaaS solution that provides a dockerised, multi-architecture security-automation framework — Scry APT AI. It unifies open-source tooling, purpose-built Go binaries and NVD-grounded AI exploit generation behind a single dispatcher. It is designed for teams that want automation they can trust: every CVE traces to an authoritative source, every finding is confirmed by a safe proof-of-concept, and every run produces an audit-ready report under a reproducible, multi-tenant layout.

How Scry APT AI solves it

Scry APT AI is a proxy between AWS ECR or Azure ACR and SAST tool e.g. Snyk. Scanning the artefact that runs, rather than a manifest, yields a materially more trustworthy result on free tier Snyk account.

For every image, Scry APT AI emits the findings as machine-readable JSON and renders them to a self-contained HTML and PDF report — one portable artefact per image, ready to hand to an auditor or attach to a ticket.

Sonar code analysis complements this on the code side: it drives SonarQube / SonarCloud through Scry.PRO's connector and writes a formal static-analysis report into the same output tree, so application and container evidence live together.

Compliance value

The output is designed to support — not replace — your compliance program. Typical mappings:

Scope and honest limitations

Scry APT AI requires valid free tier Snyk and AWS ECR credentials and a Snyk organization, which are stored in the Scry.PRO multi-tenant secret manager encrypted and validated with a unique client key. The reports are evidence for a customer auditors and engineers; they are an input to a compliance program, not a certificate of compliance.