Griffin AI vs Gemini Code Assist: Security
Gemini Code Assist makes developers faster. But faster is not safer. Here's how Griffin AI layers a security engine onto the same developer workflow.
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.
Gemini Code Assist makes developers faster. But faster is not safer. Here's how Griffin AI layers a security engine onto the same developer workflow.
SPDX is the format auditors ask for, the format regulators reference, and the format most enterprise procurement teams standardize on. Griffin AI treats it as a first-class graph. Mythos-class tools treat it as a long document.
This year's cloud security reports point to the same conclusion: detection isn't the bottleneck anymore — identity sprawl, supply chain risk, and slow remediation are.
Clop has industrialized third-party file-transfer exploitation. Here is how the group operates, what it keeps repeating, and how defenders can stop repeating their own mistakes.
How npm dependency confusion lets attackers hijack internal package names on public registries — and why private npm registry security gaps still leave teams exposed.
How Safeguard's knowledge graph unifies components, vulnerabilities, policies, and runtime evidence into a single queryable substrate that powers every product surface.
Safeguard's State of Agentic AI Adoption Report finds 71% of enterprises now run agents with production access, outpacing identity, SBOM, and reachability controls.
Safeguard's research team analyzed 42,000+ repositories with agentic commit activity, finding new dependency, MCP server, and SBOM gaps introduced by AI coding agents.
A react npm supply chain incident case study: how a phishing attack on a single maintainer compromised chalk, debug, and other build-pipeline dependencies.
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