If you're typing "Fortinet alternatives" into a search bar, there's a good chance your infrastructure has already moved past what Fortinet was built for. FortiGate firewalls, SD-WAN appliances, and endpoint agents assume there's a network perimeter to sit at the edge of. Cloud-first organizations often don't have that perimeter anymore — workloads spin up in Kubernetes clusters, code ships through CI/CD pipelines dozens of times a day, and the biggest source of risk is rarely an inbound port. It's a vulnerable open-source dependency, a misconfigured cloud resource, or a secret leaked in a build log. Two names come up constantly in this search: Wiz, a cloud-native application protection platform (CNAPP), and Safeguard, a software supply chain security platform. They aren't interchangeable, and understanding what each one actually scans — and how — matters more than which one has the flashier dashboard.
Why Are Cloud-First Orgs Looking Past Fortinet?
Fortinet's product line was built around physical and virtual network appliances: FortiGate for perimeter firewalling, FortiSASE for secure edge access, FortiEDR for endpoint detection. That model works well when your infrastructure has a defined boundary — a data center, a branch office, a VPN concentrator. It works less well when your infrastructure is a set of ephemeral cloud resources and a stream of code commits.
The gap isn't that Fortinet's appliances are bad at what they do. It's that "what they do" — network traffic inspection and edge control — answers a different question than the one cloud-first teams are actually asking, which is closer to: "What in our codebase, our dependencies, and our cloud configuration could get us breached before traffic ever hits a firewall?" That question routes teams toward two different categories of tooling, not one, which is why Wiz and Safeguard both show up in the same search even though they solve different problems.
Wiz vs Safeguard: Which Layer of the Stack Are You Actually Trying to Fix?
This is the distinction that gets lost in "alternatives" listicles: Wiz and Safeguard are not competing for the same job.
Wiz is a CNAPP — it connects to your cloud accounts (AWS, Azure, GCP) and builds a graph of your cloud resources, identities, and workloads to surface misconfigurations, exposed attack paths, and runtime risk across infrastructure you've already deployed. It is, fundamentally, a cloud infrastructure security tool.
Safeguard sits further upstream, in the software supply chain: source repositories, open-source dependencies, build pipelines, and the artifacts that eventually become the workloads a CNAPP would scan. Safeguard's scanning surfaces — SCM-integrated repository scans, CI/CD pipeline scans, an offline CLI scanner, and a public CVE/package search (Gold) — are aimed at catching risk in code and dependencies before it's ever deployed, rather than assessing risk in infrastructure that's already running.
If your primary question is "is our cloud environment misconfigured or exposed right now," that's Wiz's category. If your primary question is "do we know what's actually inside the software we're shipping, and is it safe before it ships," that's Safeguard's category. Many cloud-first orgs need an answer to both questions — which is a real, verifiable reason these tools frequently appear side by side in the same vendor evaluation rather than as strict substitutes for each other.
How Do Wiz and Safeguard Actually Scan Differently?
Two concrete, checkable differences show up once you look past the marketing copy:
Scanning surface. Wiz is agentless by design — it reads cloud provider APIs and workload snapshots to assess what's already deployed: VM images, container images at rest, Kubernetes configurations, IAM permissions, and network exposure. It is built to answer questions about infrastructure state. Safeguard's scanning surface is the software delivery path itself: it integrates with source control (SCM) to scan repositories, invokes pipeline scans as part of CI/CD, and ships a CLI that can run offline, disconnected from any pipeline, against a local checkout. That's a pre-deployment surface, not a post-deployment one.
What "coverage" means. For a CNAPP like Wiz, coverage is measured in cloud accounts connected and resources graphed. For Safeguard, coverage is measured in repositories onboarded, pipelines instrumented, and packages resolved — including a standalone open-source package crawler that indexes package metadata independent of any single customer's repos, feeding a public CVE/package lookup (Gold) that's usable without a Safeguard account. That's a verifiable, checkable capability rather than a marketing claim: you can go query it directly rather than take a vendor's word for what it covers.
Neither difference makes one platform "better" in the abstract — they answer different audit questions. But if your Fortinet-replacement evaluation is really a supply-chain-risk evaluation (increasingly the case as more breaches trace back to a compromised dependency or leaked credential in a repo rather than a firewall rule), scanning surface is the dimension to interrogate first, and it's worth asking any vendor — including Wiz — to show you exactly what artifact or resource type a given finding was generated from.
Where Do They Fit Into Your Development and Cloud Workflow?
Integration model is the second concrete, verifiable dimension, and it tends to predict how much friction a tool adds to existing workflows.
Wiz's agentless model means it plugs in primarily at the cloud-account level — you connect a cloud subscription or account, and it starts graphing resources without requiring changes to how engineers write or ship code. That's a deliberate design tradeoff: low friction to deploy, but the point of visibility is the infrastructure layer, not the developer's day-to-day workflow.
Safeguard's integration model is built around the places engineers already work: SCM integration so scans run against pull requests and commits, a pipeline service invoked automatically as part of CI/CD, and an MCP (Model Context Protocol) layer that exposes Safeguard's findings directly inside AI coding assistants and IDEs — including desktop and mobile clients, and extensions for VS Code, IntelliJ, Chrome, Edge, and Firefox. The intent is to put supply chain risk in front of a developer or an AI coding assistant at the point of writing or reviewing code, not only in a separate security dashboard reviewed after the fact.
Which model fits better depends on who's expected to act on the findings. If your primary consumers are a cloud security or platform team reviewing infrastructure posture, an agentless, account-level connection is a reasonable fit. If your primary goal is catching a vulnerable dependency or a hardcoded secret before it merges — with the person who wrote the code seeing the finding in their own editor or IDE assistant — that argues for a scanner integrated into SCM, pipelines, and developer tooling directly.
Which One Actually Replaces Fortinet?
Here's the honest answer, and it's not the one a pure "alternatives" list usually gives: strictly speaking, neither Wiz nor Safeguard is a drop-in replacement for FortiGate, FortiSASE, or FortiEDR. Fortinet's appliances do network-layer and endpoint-layer enforcement. Wiz does cloud infrastructure posture and runtime risk assessment. Safeguard does software supply chain risk assessment across code, dependencies, and pipelines. These are three different control layers, and a cloud-first org typically ends up retiring or shrinking its network-appliance footprint (because there's less perimeter to defend) while adding both a CNAPP and a supply-chain security layer to cover the risk that actually materializes in a cloud-native environment.
So the more useful framing when you search "Fortinet alternatives" isn't "which single vendor replaces Fortinet" — it's "which layers of risk does a cloud-first architecture introduce that Fortinet's appliance model never covered, and which vendor covers which layer." Wiz answers the infrastructure-posture layer. Safeguard answers the supply-chain layer. Evaluating them against each other only makes sense once you've placed them in the layer they're actually built for.
How Safeguard Helps
If your evaluation lands on the supply-chain layer — the code, dependencies, and pipelines that produce the workloads a CNAPP later inspects — Safeguard's approach is built around a few concrete capabilities:
- SCM-integrated scanning. Safeguard connects to your source control platform so pull requests and commits are scanned as part of the normal review flow, not as a separate audit step bolted on afterward.
- CI/CD pipeline scanning. A dedicated pipeline service runs as part of your build process, generating findings tied to the exact commit and build that produced them — useful evidence for both engineering triage and compliance audits.
- Offline CLI scanning. A standalone CLI scanner runs disconnected from any pipeline, so teams can check a local checkout, an air-gapped build, or a one-off audit without wiring up full CI integration first.
- Open-source package intelligence. A dedicated crawler indexes open-source package data independent of any single customer's repositories, backing a free public CVE/package search (Gold) that anyone can query to check a package before adopting it.
- AI assistant integration via MCP. Findings and query access are exposed through an MCP server so that Claude, ChatGPT, and other AI coding assistants — as well as native desktop, mobile, and browser extension clients for VS Code, IntelliJ, Chrome, Edge, and Firefox — can surface supply chain risk directly where engineers and AI copilots are already working, rather than requiring a separate dashboard visit.
None of this replaces a CNAPP's view of your live cloud infrastructure, and it isn't meant to. It's meant to close the gap that neither Fortinet's network appliances nor a cloud posture tool were designed to cover: knowing what's actually inside the software you ship, before it ships. For cloud-first teams retiring network appliances and reassessing where their real risk sits, that upstream visibility is usually the piece missing from the stack — and it's worth evaluating as its own line item rather than assuming a CNAPP alone closes the gap.