AI Security
Griffin AI vs Claude Sonnet for Remediation
Claude Sonnet is the workhorse model Griffin leans on for remediation. Here's how raw Sonnet compares to Sonnet inside Griffin's remediation pipeline.
Jan 25, 20267 min read
Resources
Supply Chain Security, in plain English.
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.
Filter
Articles
RSS feedAI Security
Data Residency Controls: Griffin AI vs Mythos
Data residency is no longer a procurement checkbox. It is an architectural property that most pure-LLM vendors cannot deliver without major rework.
Jan 25, 20267 min read
AI Security
Domain-Adapted LLMs For Vulnerability Detection in 2026
Domain adaptation has quietly become the default for LLM-assisted vulnerability detection. A look at what works in 2026, what does not, and what teams should plan for next.
Jan 24, 20266 min read
AI Security
Griffin AI vs GPT-4o: Security Limits Exposed
GPT-4o is an excellent general-purpose model. Security workflows are a specialty, and specialty work exposes the limits of general intelligence.
Jan 24, 20267 min read
AI Security
Regression Testing on Fixes: Griffin AI vs Mythos
A remediation PR is only useful if it does not break anything else. Griffin AI runs targeted regression before opening; Mythos-class tools usually do not.
Jan 24, 20266 min read
AI Security
AI-Generated Code Security Risks: Copilot, ChatGPT, and the New Attack Surface
AI code assistants are writing a growing share of production code. The security implications are significant and largely unaddressed.
Jan 24, 20266 min read
AI Security
Prompt Injection as a Supply Chain Risk in 2026
Prompt injection stopped being an LLM curiosity the moment agents started committing code. It is now a software supply chain risk and should be modeled as one.
Jan 24, 20267 min read
AI Security
AI Cybersecurity Glossary: Key Machine Learning & Security Terms
A defender's glossary of AI security terms — prompt injection, model poisoning, AI-BOM, adversarial ML — with dated, real-world incidents behind each one.
Jan 24, 20268 min read
AI Security
What is Navigating AI for Source Code Analysis
AI source code analysis pairs LLMs with static analysis to cut false positives and speed triage -- but reachability data still decides what's real.
Jan 24, 20266 min read
Stay informed
Weekly insights on software supply chain security, delivered to your inbox.
Self-healing security runs on Safeguard.
Your first fix PR is minutes away.
No sales call required, even your agent can complete the purchase over MCP.