Safeguard
Tag

efficiency

Safeguard articles tagged "efficiency" — guides, analysis, and best practices for software supply chain and application security.

10 articles

AI Security

Cost Per Finding: Griffin AI vs Mythos

Token spend per scan is the wrong metric. Cost per actionable finding is the right one — and it's where engine-plus-LLM economics dominate pure-LLM economics.

Mar 8, 20265 min read
AI Security

Elastic Scale Behaviour: Griffin AI vs Mythos

Scanning bursts when a monorepo merges. We explain why Griffin AI absorbs the spike gracefully while Mythos-class tools degrade into rate-limit queues.

Mar 7, 20266 min read
AI Security

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.

Feb 27, 20267 min read
AI Security

Task-Routed LLM Architectures For Security

One model for every task wastes budget on trivial work. Task-routed architectures match model capability to task requirements — the right lever for security at scale.

Feb 25, 20262 min read
AI Security

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.

Feb 19, 20266 min read
AI Security

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.

Feb 11, 20266 min read
AI Security

Throughput At Scale: Griffin AI vs Mythos

Engine work parallelises cleanly. Model calls do not. We explain why Griffin AI's throughput scales with CPU while Mythos-class tools bottleneck on rate limits.

Feb 3, 20266 min read
AI Security

Cache Hit Optimisation: Griffin AI vs Mythos

Prompt caching and engine memoisation combine to make Griffin AI scans repeat-cheap. Pure-LLM tools recompute the same reasoning on every run.

Jan 27, 20266 min read
AI Security

Model Tiering Strategy: Griffin AI vs Mythos

Opus for reasoning, Sonnet for drafting, Haiku for scale. We break down when each tier earns its keep and why single-model architectures cannot compete.

Jan 19, 20266 min read
AI Security

Per-Scan Token Cost: Griffin AI vs Mythos

Tiered models and a deterministic engine cut token consumption to the moments that need reasoning. Pure-LLM tools pay full price for every trivial check.

Jan 11, 20266 min read
efficiency — Safeguard Blog