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
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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
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
AI Security
Instruction/Data Conflation: Why Prompt Injection Persists
Prompt injection is not a vulnerability that will be patched. It is what happens when a system cannot distinguish the instructions it is supposed to follow from the data it is supposed to process.
Jan 23, 20267 min read
AI Security
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.
Jan 23, 20267 min read
AI Security
SPDX Coverage: Griffin AI vs Mythos
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.
Jan 23, 20267 min read
AI Security
MCP Ecosystem Maturation: Where It's Going
The Model Context Protocol went from a single-vendor proposal to a multi-implementation standard in under eighteen months. The security implications are still being worked out in public.
Jan 22, 20266 min read
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