If you've spent any time in a vendor security questionnaire, you've seen the acronyms collide: SOC 1, SOC 2, SOC 3. Teams often treat them as interchangeable proof of "we take security seriously," but each report answers a different question for a different audience. SOC 1 covers controls relevant to a customer's financial reporting. SOC 2 covers controls over security, availability, confidentiality, processing integrity, and privacy — the report most software and infrastructure vendors actually need. SOC 3 is a public-facing summary of a SOC 2 engagement, built for marketing pages rather than auditors. Compliance automation platforms like Drata help teams collect the evidence auditors ask for during these engagements. Safeguard takes a narrower, deeper angle: it generates and verifies the software supply chain evidence — SBOMs, dependency vulnerability status, build provenance — that underpins the security criteria inside a SOC 2 report. This post breaks down the differences and where each type of tool actually fits.
What do SOC 1, SOC 2, and SOC 3 actually cover?
The three report types exist because the AICPA built them for different stakeholders, not different levels of rigor.
- SOC 1 reports on controls that affect a service organization's impact on a customer's internal control over financial reporting (ICFR). It matters for payroll processors, payment processors, and any vendor touching financial transaction data. Most SaaS security teams will never need one unless finance-adjacent processing is part of the product.
- SOC 2 reports on controls mapped to the AICPA Trust Services Criteria: security, availability, processing integrity, confidentiality, and privacy. Security is mandatory in every SOC 2 report; the other four are optional based on scope. This is the report enterprise procurement and security teams ask for when they want evidence of how you protect customer data, manage access, patch vulnerabilities, and respond to incidents.
- SOC 3 covers the same Trust Services Criteria as SOC 2, but the resulting report is a general-use summary with no detailed testing results or system description. Because it omits sensitive control detail, it can be published publicly — on a trust page, in a sales deck — without an NDA.
A useful shorthand: SOC 1 is about money, SOC 2 is about the detailed truth of your controls (shared under NDA), and SOC 3 is the shareable summary of that truth. Type I vs Type II is a separate axis that applies to both SOC 1 and SOC 2 — Type I attests to control design at a point in time, Type II attests to operating effectiveness over an observation window (typically 3-12 months).
Which SOC report should a software supply chain vendor actually pursue?
For most software, platform, and infrastructure companies, the answer is SOC 2 Type II, then optionally a SOC 3 for public marketing use. SOC 1 only applies if your product materially affects a customer's financial statements — a fintech settlement engine, a billing platform, a payroll integration. If that's not your product, pursuing SOC 1 is wasted audit scope.
Where this gets concrete for supply chain security specifically: SOC 2's security criteria include control areas like vulnerability management, change management, and system monitoring. Auditors testing those controls want evidence — not a policy PDF, but artifacts: a current software bill of materials (SBOM), a log of dependency vulnerabilities identified and remediated, records showing builds were produced through a controlled pipeline. This is where general-purpose compliance automation and supply-chain-specific tooling diverge in what they can actually produce as evidence.
How do Drata and Safeguard differ in what they automate?
This is the comparison most teams actually need, and it comes down to scope rather than one product being "better."
Drata is a compliance automation (GRC) platform. Its publicly stated focus is helping organizations prepare for and maintain audits — SOC 2, ISO 27001, HIPAA, PCI DSS, GDPR, and others — by connecting to cloud, HR, and identity systems to pull continuous evidence for controls like access reviews, employee onboarding/offboarding, background checks, and infrastructure configuration. It's built to serve as the system of record an auditor works from across a broad set of control domains.
Safeguard is a software supply chain security platform. It doesn't try to cover HR and policy evidence — it focuses on the artifacts that prove your software is built and shipped securely: generating and verifying SBOMs, continuously scanning dependencies for known vulnerabilities (CVEs), tracking remediation status over time, and attesting to build provenance in CI/CD pipelines. That's a narrower slice of the overall SOC 2 control set, but it's the slice that's hardest to produce credibly from spreadsheets or point-in-time scans, and it maps directly to the vulnerability management and change management criteria auditors scrutinize.
Two concrete, verifiable distinctions worth naming plainly:
- Category of evidence. Drata's evidence collection is organized around integrations with business systems (cloud providers, identity providers, HR/ticketing tools) to demonstrate operational controls. Safeguard's evidence is organized around code, dependencies, and build artifacts — the technical supply chain layer that sits underneath a company's product.
- Primary audience for output. Drata's output is structured for auditors and compliance teams tracking framework-wide readiness. Safeguard's output (SBOMs, vulnerability inventories, provenance attestations) is structured for both auditors and engineering teams who need to act on a specific vulnerable dependency or verify a specific build.
Neither of those distinctions is a claim that one platform is more mature or more capable overall — they're different layers of the same audit, and many organizations end up using GRC automation for framework-wide evidence while relying on dedicated supply chain tooling for the technical depth a general-purpose connector can't replicate.
Does a SOC 3 report replace the need for supply chain evidence?
No — and this is a common misconception. Because SOC 3 strips out the detailed system description and control testing results, it's not useful for a security team doing vendor risk assessment; it's useful for public trust signaling. If a prospect's security team asks for your SOC 2 report under NDA, they're going to look at the actual control descriptions and, in a Type II report, the testing exceptions. If your vulnerability management controls are backed by ad hoc spreadsheets rather than a continuously updated SBOM and CVE remediation trail, that gap shows up in the report detail — a SOC 3 summary won't paper over it, because the underlying SOC 2 testing already happened.
This is precisely why supply chain evidence generation matters independent of which SOC report a company is chasing: the underlying control either exists and is demonstrable, or it doesn't.
How should teams decide between GRC automation and supply chain security tooling?
In practice this usually isn't an either/or decision. The questions worth asking:
- Do you need framework-wide evidence collection across HR, identity, infrastructure config, and policy attestation, spanning multiple frameworks at once? That's the problem GRC automation platforms like Drata are built to solve.
- Do you need continuously current SBOMs, dependency vulnerability tracking, and build provenance that can stand up to a Type II audit window and to engineering incident response, not just a compliance checkbox? That's the problem Safeguard is built to solve.
- Is your engineering team the one who has to act on the evidence (patch a dependency, re-verify a build), not just the compliance team who has to file it? If so, evidence needs to live somewhere engineers already work, not only inside a GRC dashboard.
Companies with a meaningful software supply chain — anyone shipping code with third-party dependencies and CI/CD pipelines, which is nearly everyone — typically need both categories of tooling working together rather than expecting one platform to cover both layers equally well.
How Safeguard Helps
Safeguard is built for the technical evidence layer that sits underneath a SOC 2 (or SOC 1, where applicable) engagement: automated SBOM generation across your build pipeline, continuous dependency vulnerability scanning mapped to known CVEs, remediation tracking over time so a Type II observation window shows a real trend line rather than a single snapshot, and build provenance attestation so you can demonstrate — not just assert — that what shipped matches what was reviewed.
For teams already using a GRC automation platform for framework-wide readiness, Safeguard fills the gap that connector-based evidence collection wasn't designed to reach: proof about the actual software supply chain, not just the business systems around it. That means when an auditor or a prospect's security team asks "how do you know your dependencies aren't vulnerable, and how do you prove it wasn't just true on the day you took the screenshot," there's a continuously maintained answer instead of a manual one.
If you're scoping a SOC 2 audit and mapping out which controls need which kind of evidence, start by separating the two layers: business and access controls versus software supply chain controls. Safeguard is designed specifically to make the second layer continuous, verifiable, and audit-ready.