mythos
Safeguard articles tagged "mythos" — guides, analysis, and best practices for software supply chain and application security.
100 articles
PCI DSS 4.0 Alignment: Griffin AI vs Mythos
PCI DSS 4.0 raised the evidence bar for software security, supplier management, and continuous assurance. Griffin AI meets the new requirements with persisted records. Mythos-class pure-LLM tools leave QSAs asking for artifacts.
Framework Routing Awareness: Griffin AI vs Mythos
Every HTTP vulnerability begins at a route. Griffin AI models routing; Mythos-class tools guess it. That difference shapes every downstream finding.
SLSA Provenance Consumption: Griffin AI vs Mythos
SLSA provenance is the cryptographic receipt of a build. Griffin AI verifies it, parses it, and uses it as typed evidence. Mythos-class tools describe it and forget to check the signature.
XSS Variants: Griffin AI vs Mythos
Stored, reflected, DOM, mutation, and template-injection XSS each live in a different part of the application and demand a different analysis. Griffin's engine understands template contexts, framework escaping rules, and client-side sinks; Mythos reads HTML and hopes. The difference shows up the moment you leave textbook territory.
Regression Gates: Griffin AI vs Mythos
Every release risks making the model worse. Griffin AI's regression gates block bad builds before they ship. Mythos-class tools rarely describe a gate process at all.
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.
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.
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.
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.
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.
Self-healing security runs on Safeguard.
Your first fix PR is minutes away.
No sales call required, even your agent can complete the purchase over MCP.