Griffin AI vs Vertex AI Safety for Enterprise
Vertex AI Safety is Google's approach to enterprise AI controls. For security-specific workflows, Griffin AI adds grounding the Safety layer doesn't.
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.
Vertex AI Safety is Google's approach to enterprise AI controls. For security-specific workflows, Griffin AI adds grounding the Safety layer doesn't.
Model lock-in is the quiet liability of pure-LLM vendors. Safeguard's bring-your-own-model story gives enterprises the option Mythos-class competitors cannot match.
A function whose output space is finite and enumerable can be secured by testing. A function whose output space is every string of tokens up to some length cannot. That difference quietly invalidates most classical security contracts.
RASP runs inside an application and blocks attacks in real time, from the inside out. Here's how it works, how it differs from a WAF, and where it fits.
Security audits of the Rust crate ecosystem reveal patterns of unsafe code, build script risks, and supply chain vulnerabilities. Here is what the data shows.
SOAR explained: what Security Orchestration, Automation, and Response actually does, how it differs from SIEM, and where it fits in supply chain security.
KubeCon + CloudNativeCon NA 2025 put supply chain security at the center of the cloud-native conversation. Here is what mattered for platform teams.
Real numbers for supply chain security in 2026 — tool spend, headcount, hidden costs, SMB vs enterprise ranges, and where teams over- and under-invest.
How Kubernetes RBAC determines what a supply chain attack can actually do once a compromised workload runs, and the RBAC patterns that meaningfully reduce blast radius.
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