Supply Chain Security, in plain English.

AI-BOM Adoption: State of the Art in 2026

The AI Bill of Materials went from concept paper to procurement requirement in under two years. Here is what the current state of the art actually looks like.

Fix Explanation Quality: Griffin AI vs Mythos

A remediation PR explanation is either evidence or storytelling. Griffin AI attaches taint paths and disproof attempts; Mythos-class tools attach plausible prose.

Dynamic Dispatch: Griffin AI vs Mythos

Dynamic dispatch hides real exploits behind indirection. Griffin AI models the dispatch; Mythos-class tools guess. That gap changes outcomes.

How an AI-Based Security System Works in Modern Application Security

An AI-based security system uses machine learning to detect threats and prioritize risk at a scale humans cannot match. Here is what it does well, and where it needs guardrails.

ISO 27001 Mapping: Griffin AI vs Mythos

ISO 27001 Annex A has 93 controls in the 2022 revision, each needing documented evidence. Griffin AI emits records that map cleanly. Mythos-class pure-LLM tools force control owners to narrate.

VEX Integration: Griffin AI vs Mythos

VEX is how you turn a vulnerability list into an actionable work queue. Griffin AI ingests VEX documents as structured statements that filter findings at policy time. Mythos-class tools read them as advisory prose and lose the filtering entirely.

LLM Output Filtering as a Security Control

Output filters are the last line before the user and the tool call. We cover when they work, when they fail, and how to measure them honestly in production.

LLM Jailbreak as a Supply Chain Risk in 2026

A jailbreak in a model you ship downstream is a supply chain incident, not a trivia item. Here is how to reason about it and where the defensive controls belong.

Griffin AI vs Inflection Pi for Security Assistance