Mythos
Safeguard articles tagged "Mythos" — guides, analysis, and best practices for software supply chain and application security.
103 articles
False Positive Cost: Griffin AI vs Mythos
A false positive is not free. It costs engineer attention, trust in the tool, and eventually the security programme's credibility. We price the difference.
Injection Path Detection: Griffin AI vs Mythos
Injection vulnerabilities are not really about the sink. They are about the path from untrusted input to the sink. The path is where Griffin AI and Mythos-class tools diverge.
Why Engine-Plus-LLM Beats Pure-LLM: Griffin vs Mythos
The structural case for engine-plus-LLM security reasoning — and why pure-LLM products in the Mythos class hit a ceiling that no parameter count can raise.
Federal Compliance Readiness: Griffin AI vs Mythos
Federal compliance is a long investment, not a marketing claim. Safeguard's FedRAMP HIGH and IL7 readiness is the difference between selling into government and sitting on the outside.
Dependency Upgrade Picks: Griffin AI vs Mythos
The version a remediation tool picks matters more than the fact that it picked one. Griffin AI grounds its choice in the project; Mythos-class tools do not.
HIPAA Supply Chain Controls: Griffin AI vs Mythos
HIPAA's software supply chain expectations have sharpened in 2025-2026. Evidence generation is the difference between passing an audit and rerunning it.
Source/Sink Classification: Griffin AI vs Mythos
Taint analysis only works if sources and sinks are labeled correctly. Griffin AI uses a curated catalog; Mythos-class tools infer on the fly.
Model Inventory Tracking: Griffin AI vs Mythos
You cannot secure what you cannot enumerate. Griffin AI maintains a typed inventory of every model, version, and deployment across a tenant. Mythos-class tools approximate the inventory in prose.
CSRF Modern Forms: Griffin AI vs Mythos
CSRF in 2026 is not the 2012 attack. SameSite cookies, fetch metadata, and modern frameworks changed the landscape. Detection needs to keep up.
Golden Dataset Design: Griffin AI vs Mythos
Benchmark scores are only as honest as the dataset behind them. Griffin AI publishes golden-dataset design notes; Mythos-class tools rarely explain theirs.
Deserialization Chains: Griffin AI vs Mythos
CWE-502 deserialisation chains are the canonical stress test for AI bug hunters. Why Griffin AI's grounded synthesis finds real chains and Mythos-class scanners hallucinate them.
Triage Backlog Reduction: Griffin AI vs Mythos
A shrinking triage queue is the clearest sign a security programme is working. We explain why Griffin AI shrinks queues and Mythos-class tools grow them.