AI Security
Griffin AI vs Mythos: Architecture Deep Dive
An architectural comparison of Griffin AI's engine-grounded reasoning stack against the pure-LLM pattern that Mythos-class products rely on.
Feb 18, 20266 min read
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Griffin AI vs Claude Desktop MCP for Security
Claude Desktop's MCP support makes it a capable security tool. Griffin AI builds on that foundation rather than competing with it.
Feb 18, 20262 min read
AI Security
Leakage Testing Methods For Security Benchmarks
A benchmark that the model has seen in training is a benchmark of memorisation. Specific leakage-testing methods separate generalisation from recall.
Feb 18, 20262 min read
AI Security
How to Run a Rocky Linux Container Scan Correctly
A Rocky Linux container scan only produces accurate results when your scanner reads Rocky's own advisory feed instead of guessing from RHEL or CentOS data.
Feb 18, 20265 min read
AI Security
SaaS Container Security: Protecting Multi-Tenant Workloads
SaaS container security is the set of controls that keep containerized, multi-tenant applications isolated, patched, and hardened from build through runtime. Here is the practical playbook.
Feb 18, 20266 min read
AI Security
How to Fix 'Could Not Find or Load Main Class org.gradle.wrapper.GradleWrapperMain'
The 'could not find or load main class org.gradle.wrapper.GradleWrapperMain' error almost always means gradle-wrapper.jar is missing from your checkout. Here is why it happens and how to fix it safely.
Feb 18, 20265 min read
AI Security
AI-Generated Dockerfile Vulnerability Patterns
LLM-generated Dockerfiles repeat the same six or seven mistakes. Here is the pattern catalog and how to catch them before they ship.
Feb 18, 20267 min read
AI Security
LLM Selection Cost-Quality Tradeoff For Security
LLM selection is ultimately a cost-quality optimisation under workflow constraints. The curve is not smooth, and the right point on it depends on where errors land in your pipeline.
Feb 17, 20267 min read
AI Security
Griffin AI vs OpenAI Function Calling: Scoping
Function calling gives models the ability to act. Acting safely on behalf of a specific user, in a specific context, within specific policy is a different problem.
Feb 17, 20267 min read
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