griffin-ai
Safeguard articles tagged "griffin-ai" — guides, analysis, and best practices for software supply chain and application security.
180 articles
Griffin AI vs Claude Prompt Caching: Security
Claude's prompt caching gives you 90% discount on cached tokens. Security workloads have massive cacheable surface area. Griffin AI takes advantage; direct API use often does not.
Auth Bypass Discovery: Griffin AI vs Mythos
Auth bypasses are rarely a single bug. They live in the interaction between layers — middleware, route handlers, framework annotations. Finding them requires path analysis across abstraction layers.
Coordinated Disclosure With Upstream Maintainers
Coordinated disclosure with open-source maintainers is a relationship business. Here is what makes it work in 2026, with the artefacts a modern pipeline gives you.
Context Window Limits: Griffin AI vs Mythos
Context-window size matters less than context quality. A look at how Griffin AI's engine-grounded context beats pure-LLM retrieval at monorepo scale.
Griffin AI vs OpenAI Assistants API for SecOps
The OpenAI Assistants API is a general agent framework. SecOps needs more than a framework — it needs the engine-grounded reasoning Griffin AI adds on top.
Griffin AI vs Gemini Pricing: Security Scans
Gemini's pricing table favours long-context workloads. Security scans have long-context structure. The question is how much context fits into the architecture.
Onboarding Velocity: Griffin AI vs Mythos
Time from contract signature to first meaningful finding is the metric procurement cares about. Griffin AI and Mythos-class tools diverge in week one.
Remediation SLA Tracking Without Spreadsheets
Tracking remediation SLAs in spreadsheets is how programmes drift. Here is how to track SLAs in the same system that finds, fixes, and merges vulnerabilities.
Transitive Fix Cascades: Griffin AI vs Mythos
A vulnerable transitive dependency may require upgrading an ancestor. Griffin AI computes the cascade; Mythos-class tools often stop at the first level.
EU AI Act Alignment: Griffin AI vs Mythos
EU AI Act enforcement began in 2026. Vendors sold as "AI security tools" are now high-risk systems with documentation obligations. The shape of the documentation matters.
Version-Aware Resolution: Griffin AI vs Mythos
A vulnerability in version 1.2.0 may not affect your 1.3.5 install if the fix reshaped the call signature. Version-aware resolution is where deterministic engines beat pure-LLM heuristics.
MCP Server Inventory: Griffin AI vs Mythos
MCP servers are privileged dependencies. An inventory that tracks them like SBOM tracks packages is the minimum bar — and not every tool meets it.