Meeting Your Team Where They Already Work
Security tools have a habit of asking people to change how they work. Open a new dashboard, learn a new console, remember to check one more place before you ship. That habit is understandable: a platform wants visibility, and visibility usually means a screen of its own. But it also explains why so many security programs quietly lose adoption. The tool is good. It is just one more place nobody has time to visit.
Safeguard takes a different starting position. Instead of building one surface and asking everyone to come to it, it is built to show up inside the surfaces your developers and security team already have open, and to let each of them choose the depth of engagement that suits their role.
Where developers already are
For a developer, the fastest feedback loop is the one that never leaves the editor. Safeguard ships IDE extensions for VS Code, IntelliJ and the broader JetBrains family (PyCharm, WebStorm, GoLand, Rider, and others), and for Cursor via OpenVSX, giving security insight as code is written rather than after it is pushed. That is a genuinely different experience than waiting for a CI job to fail and then context switching back into a PR to understand why.
For teams that live in the terminal, the local runner CLI (@safeguard-sh/cli, built on Node 18+) supports interactive, headless, and agent modes, and runs on macOS, Windows, and Linux. It handles SBOM generation, scanning, and gating with broad support across package managers, registries, and CI/CD systems, and there is a Kubernetes Helm operator for teams that want to self-host the runner inside their own cluster. This same CLI is also a meaningful sales answer for security conscious buyers: an organization that will not grant a third party direct repo access can still run Safeguard entirely on their own infrastructure, pulling the repo locally, scanning there, and sending only encrypted results outward. That single design choice removes a data residency objection that would otherwise disqualify a vendor outright.
CI/CD pipelines get first-class treatment too, with actions for the major platforms producing SBOMs and enforcing policy gates, alongside SARIF and JUnit output so results plug into the reporting your pipeline already understands. Webhooks and signed event delivery, with retries and dead letter queues, let engineering teams stream findings into whatever system they already use to route work.
Where security and platform teams already are
For a broader view than any single IDE or pipeline can offer, there is the web app at app.safeguard.sh, the primary surface bringing together ESSCM, Portal, TPRM, and OSM in one place, available across US, EU, and government environments.
For teams that want a persistent desktop presence, the desktop app (currently in early access, for Windows, macOS, and Linux) embeds the web view alongside a local panel for scans, a terminal, MCP access, tasks, and files, plus deep links through a dedicated safeguard:// scheme. It is shaped less like a dashboard and more like an always available assistant, reaching a cloud browser and cloud sandbox where development work can actually run. It is early, but for AI-forward teams evaluating how far agentic security tooling has come, it is one of the more compelling demos available today.
A mobile app for iOS and Android is also in early access, with public availability targeted for September. For a security leader who wants to check org-wide risk posture from a phone rather than opening a laptop, that is a meaningful gap being closed.
Two Chrome extensions round out the browser experience: one for the platform itself, giving a Griffin-powered search side panel, and a separate launcher for Gold Open Source, letting anyone check a package's security posture without leaving whatever page they are already reading.
Where automated systems and other AI agents already are
Safeguard is also built to be operated by other software, not just by people. The MCP server at mcp.safeguard.sh lets external assistants, including Claude, drive the platform directly. SDKs are available in five languages (Python, TypeScript, Go, Java, and Rust) for teams building their own integrations or automations on top of the platform's data.
Where conversations already happen
Findings do not do much good sitting in a tool nobody opens voluntarily. Safeguard sends notifications into Slack, Microsoft Teams, Google Chat, and Discord, and integrates with ticketing systems including Jira, Notion, Microsoft Planner, Linear, and Asana, so a new critical finding or a pull request ready for review shows up as a message or a ticket in the system your team already triages every day, rather than requiring a habit of separately checking a security dashboard. ChatOps support through Slack, Teams, and Discord extends this further, letting commands and notifications live inside the channels your team already watches.
The point of all this
None of these surfaces exist because a product roadmap needed a checkbox. They exist because the moment security tooling asks a developer to remember a new habit, adoption drops, and the risk the tool was supposed to catch slips through anyway. Meeting people in the editor, the terminal, the CI pipeline, the chat channel, and even the ticket queue they already use means the security signal travels through channels with proven, existing attention, rather than competing for a new one.
If your team is evaluating security tooling and wondering whether it will actually get used six months in, the delivery surface it ships on is as important a question as the findings it produces. Visit safeguard.sh to see which of these surfaces fits how your team already works.
