AI Security
Remediation Prioritisation With Reachability And EPSS
CVSS alone is a bad prioritisation signal in 2026. Reachability plus EPSS gives teams a defensible order to fix the vulnerabilities that actually matter.
Mar 9, 20267 min read
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Training Data Provenance: Griffin AI vs Mythos
Training data is a supply chain component. Knowing what went into a model is the precondition for knowing what could come out of it. Few tools track this; the few that do matter disproportionately.
Mar 9, 20265 min read
AI Security
Software Container Compliance: Meeting Standards Without Slowing Releases
Container compliance means proving your images and runtime meet the controls auditors ask for, continuously, without turning every deploy into a manual review.
Mar 9, 20266 min read
AI Security
Securing Docker Containers: A Practical Hardening Guide
Securing Docker containers is less about one setting and more about a chain of defaults: slim base images, non-root users, scanned layers, and locked-down runtime privileges.
Mar 9, 20266 min read
AI Security
MCP Authentication Patterns for Enterprise
Enterprise MCP deployments need more than a static API key. The protocol is evolving toward OAuth 2.1 and dynamic client registration, and understanding which pattern fits which workload decides whether your rollout survives the first audit.
Mar 8, 20267 min read
AI Security
Griffin AI vs Poolside for Enterprise Security
Poolside's on-prem code AI is a credible enterprise offering. For security-specific workflows, Griffin AI's grounding architecture targets different ground.
Mar 8, 20262 min read
AI Security
Dependency Confusion: Griffin AI vs Mythos
Dependency confusion is older than most of the AI tooling trying to detect it. The attacks have adapted to the defences — detection needs to keep up.
Mar 8, 20263 min read
AI Security
Cost Per Finding: Griffin AI vs Mythos
Token spend per scan is the wrong metric. Cost per actionable finding is the right one — and it's where engine-plus-LLM economics dominate pure-LLM economics.
Mar 8, 20265 min read
AI Security
Griffin AI vs Open Weights: The Eval Gap
Frontier models pass eval benchmarks that open-weight models miss by specific measurable margins. For security workflows, the gap matters.
Mar 7, 20263 min read
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