griffin-ai
Safeguard articles tagged "griffin-ai" — guides, analysis, and best practices for software supply chain and application security.
180 articles
Engineer-Hour Savings: Griffin AI vs Mythos
The real cost of a scanner is not the subscription. It is the engineer hours lost to false positives, bad remediations, and noisy queues. We do the math.
Novel Bug Class Detection: Griffin AI vs Mythos
What happens when the bug does not match any known CWE? A study of how grounded and pure-LLM scanners perform on genuinely novel vulnerability patterns.
Griffin AI vs Claude Agent Skills for Security
Anthropic's Claude Agent Skills let you package tools and context for Claude. Here's how that primitive compares to Griffin's security-specific workflow scaffolding.
Griffin AI vs Mythos: The Security Platform Comparison
A senior engineer's side-by-side look at Griffin AI and Mythos — why engine-grounded reasoning beats pure-LLM security intuition when the audit clock starts.
Introducing Griffin AI v2: Context-Aware Security Intelligence
Griffin AI v2 brings multi-step reasoning, remediation generation, and deep organizational context to Safeguard's AI engine.
Griffin AI vs GPT-5: Context Grounding
A million-token context window is a tool, not a solution. Context grounding for security requires architecture, not just capacity.
Griffin AI vs Gemini Function Calling: Security
Gemini's function calling is strong and flexible. Griffin AI's tool layer is narrow and opinionated. For security workflows, the opinionated approach wins.
RBAC & Scoping: Griffin AI vs Mythos
An AI that reads your security data needs the same access controls as a human analyst. Most pure-LLM vendors stop at the role name. Safeguard enforces the scope.
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.
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.