AI governance frameworks: managing risk in AI-built software
AI governance frameworks like NIST AI RMF and the EU AI Act now govern AI-built software. Here's what they require, and where JFrog's artifact-first approach falls short.
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.
AI governance frameworks like NIST AI RMF and the EU AI Act now govern AI-built software. Here's what they require, and where JFrog's artifact-first approach falls short.
A cybersecurity training platform is only as good as the behavior it changes. Here is how to evaluate one for developers in 2026, including AI-driven and hands-on approaches.
AI coding agents now open PRs, merge code, and touch secrets on their own. Here's why JFrog-style artifact scanning can't govern them, and what can.
Unvetted MCP servers already power tool poisoning and rug-pull attacks. Here's why package scanning like JFrog's isn't enough, and how to actually secure your MCP registry.
AI agent skills and MCP plugins are packages in disguise—executable, publicly registered, and largely ungoverned. Here's why they need npm-grade supply chain controls.
A practical checklist for evaluating vendor trust centers—using JFrog as a reference point—covering SOC 2 scope, SBOM provenance, and disclosure SLAs enterprise buyers often miss.
ReDoS turns a single crafted string into an exponential-time attack. Here's how catastrophic backtracking works, real CVEs, and how to detect it.
JFrog has issued its own CVEs since 2021 as a CVE Numbering Authority. Here's what CNA status really controls, where it falls short, and how to verify vendor-disclosed vulnerabilities.
A concrete, question-driven cheat sheet on Zip Slip: how the archive-extraction path traversal bug works, real CVEs, and how to detect and fix it.
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