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AI Security

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.

Feb 6, 20267 min read
AI Security

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.

Feb 6, 20266 min read
AI Security

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.

Feb 5, 20267 min read
AI Security

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.

Feb 5, 20267 min read
AI Security

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.

Feb 5, 20265 min read
AI Security

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.

Feb 5, 20268 min read
AI Security

OWASP Top 10 for LLM Applications: A First Look

OWASP published its first Top 10 for LLM Applications on August 1, 2023. Here is what it covers, where it overreaches, and how to use it on real systems.

Feb 4, 20265 min read
AI Security

Griffin AI vs Inflection Pi for Security Assistance

Feb 4, 20266 min read
AI Security

Path Traversal: Griffin AI vs Mythos

Path traversal is the vulnerability class that punishes lazy analysis. Framework-specific path normalisation, OS-dependent separators, symbolic link resolution, and archive extraction all hide exploitable gaps behind code that looks defensive. Griffin's engine resolves path operations with actual semantics; Mythos reads the variable name and calls it a day.

Feb 4, 20267 min read
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