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.
Shadow AI is the new shadow IT. Safeguard's AI-BOM discovery, AI-SPM artifact scanning, and AI Gateway runtime guardrails cover discovery, artifact safety, and runtime behavior for AI assets.
AI agents like Claude, ChatGPT, and Cursor are reaching into production systems faster than traditional IAM can track. MCP Guardrail governs the traffic and agent identity tracks the actor.
Regulated buyers often cannot send code to any third-party model. Safeguard's Zero AI mode, bring your own model, and local on-prem model options let them use the platform without crossing that line.
Compliance teams lose the most time not gathering evidence but explaining it. Safeguard's Lion model maps evidence to controls and writes the audit-grade narrative that connects them.
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.
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