Safeguard is a software supply chain security platform that helps engineering and security teams find and fix the vulnerabilities that enter software through open-source dependencies, containers, and AI-authored code. It pairs reachability-aware software composition analysis with autonomous remediation from Griffin AI, so teams spend time on genuinely exploitable issues instead of drowning in alerts. This FAQ answers the questions people most often ask when they first encounter the product.
Frequently Asked Questions
What is Safeguard in one sentence? Safeguard is a software supply chain security platform that detects vulnerabilities in your dependencies and code, tells you which ones are actually exploitable, and fixes them automatically. It is designed to close the loop from detection to merged fix, not just to produce a report.
Who is Safeguard for? Safeguard is built for software engineers, application security teams, platform teams, and security leaders. Developers use it in the IDE and in pull requests, appsec teams use it to prioritize and enforce policy, and CISOs use it for inventory, compliance evidence, and metrics. A single AppSec engineer can cover a large service surface because remediation is automated.
What does "software supply chain security" mean? It is the practice of securing everything your software depends on and everything used to build and ship it — open-source libraries, transitive dependencies, container base images, build pipelines, and increasingly AI-generated code. Because modern applications are mostly assembled from third-party components, the supply chain is where the majority of exploitable exposure lives.
What does Safeguard protect against? It protects against known vulnerabilities (CVEs) in dependencies, malicious and typosquatted packages, vulnerable container images, insecure infrastructure-as-code, and risky first-party code. By tracing transitive dependencies, it also catches issues buried several layers deep that shallower scanners miss.
Is Safeguard a SAST, SCA, or SBOM tool? It is all three and more, unified in one platform. Software composition analysis covers dependencies, static and dynamic analysis cover first-party code, and SBOM Studio handles bill-of-materials generation and distribution. Bringing them together means one component graph, one findings model, and one remediation workflow instead of four disconnected tools.
What is Griffin AI? Griffin AI is Safeguard's autonomous remediation engine. It performs deep transitive dependency analysis, uses reachability to determine exploitability, and generates fix pull requests with compatibility testing so remediation happens with little manual intervention. It also monitors your supply chain continuously for newly disclosed vulnerabilities.
What are zero-CVE components and how do they help? Zero-CVE components are hardened, pre-scanned images and packages with no known CVEs, published through Safeguard's Gold catalog of 500K-plus components. Starting from these means you do not inherit vulnerabilities on day one, which shortens the remediation backlog before it ever forms and helps unblock enterprise deals that hinge on a clean posture.
Does Safeguard work with AI coding assistants? Yes. Through its MCP server, Safeguard exposes security tools to AI assistants and IDE agents so they can scan code, look up vulnerabilities, and request fixes in context. This is important because AI-authored code should be treated like third-party code and gated with the same controls.
How is Safeguard different from Snyk and similar tools? The biggest differences are the autonomous remediation loop, reachability analysis to cut false positives, and the zero-CVE component catalog that lets teams start clean rather than only remediate after the fact. A side-by-side breakdown is available on the comparison page. Safeguard is purpose-built for supply chain security rather than retrofitted from a single scanner.
Does Safeguard replace my existing scanners? For most teams it consolidates several tools, because it covers SCA, first-party code analysis, SBOM, and remediation in one platform. Teams often adopt it alongside existing tooling first, then consolidate as they gain confidence. You can compare capabilities across approaches on the compare page.
Where does Safeguard run? In the cloud across many providers, on-premises, or fully air-gapped. The architecture is designed for FedRAMP High and IL7, and SOC 2 Type II is in progress with the audit underway, which makes it suitable for regulated, defense, and government workloads as well as commercial ones.
How accurate are Safeguard's results? Accuracy comes from prioritization, not just detection. Reachability analysis filters out vulnerabilities that cannot be reached on live code paths, and EPSS scoring ranks the rest by exploitation likelihood, so the queue reflects real risk. VEX statements let teams formally record not-affected decisions with justifications.
How do I get started with Safeguard? You create an account, connect one repository, run your first scan, and review the prioritized fixes. Most teams get a meaningful result from a single repo in minutes before expanding coverage across the organization.
To try Safeguard on your own repositories, create a free account at https://app.safeguard.sh/register and browse the documentation at https://docs.safeguard.sh.