Deep dives, practical guides, and incident analyses from engineers who build Safeguard. No fluff, no vendor FUD — just what you need to ship secure software.
Safeguard's Eagle model does more than classify malware and typosquats. It adversarially attacks its own findings and patches before they ever reach your team, cutting false positives at the source.
We're launching Safeguard Academy — a free learning platform at academy.safeguard.sh with curated courses, an AI tutor in every course, course communities, live sessions, and publicly verifiable certifications. The first credential is the Safeguard Certified Practitioner.
One click on the Chrome Web Store puts Griffin AI search in a side panel next to any tab — one permission, no host access, no data collection, under 8 KiB. Here's what it does and why we built it so small.
A tour of this month's releases — watching Griffin work in real time, publishing your security posture and artifacts to a governed Trust Center, and reaching Safeguard from the browser, CLI, IDE, and MCP.
Safeguard is growing from a posture and findings platform into a first-party detection and prevention platform — first-party AppSec, defensive red-teaming, AI security, data security, runtime/CNAPP, and a supply-chain package firewall — all feeding one prioritized findings model.
Two supply-chain defenses are rolling out on Safeguard: an install-time Package Firewall that blocks malicious npm and pip packages before they resolve, and AI model-artifact scanning that inspects model weights — now including ONNX — for malware before they load.
Generate a secret key from Settings, drop it into the Guard SDK, and your live security policy is enforced automatically — no manual wiring, no restarts when policy changes. OAuth login is available too.
Safeguard is extending the platform with first-party static (SAST) and dynamic (DAST) application security testing — sharing one unified findings model with SCA, secrets, container, and IaC, with defensive-only DAST that only ever touches targets you've proven you own.
Dependabot flags known vulnerabilities in dependencies; CodeQL finds flaws in your own code. Here's how the two differ inside GitHub Advanced Security.
Weekly insights on software supply chain security, delivered to your inbox.
Your first fix PR is minutes away.
No sales call required, even your agent can complete the purchase over MCP.
