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AI Security

Fine-Tune Drift Measured On Eval Sets

Fine-tuning to improve one task frequently regresses others. Without eval harnesses, the regressions ship. The measurable drift is larger than vendors admit.

Mar 20, 20262 min read
AI Security

Grounded Reasoning vs Hallucinated: Griffin AI vs Mythos

The difference between grounded reasoning and hallucinated reasoning is not eloquence — it's citation. A look at how Griffin AI anchors every claim.

Mar 20, 20266 min read
AI Security

Guardrail Consolidation: Market Dynamics 2026

Two dozen AI guardrail vendors in 2023. A much smaller set in 2026. The consolidation has pattern — integrated platforms beat standalone guardrails.

Mar 19, 20262 min read
AI Security

Breaking Change Awareness: Griffin AI vs Mythos

An auto-fix that closes a vulnerability and breaks the build is not a fix. Breaking-change awareness separates auto-PRs that ship from auto-PRs that get reverted.

Mar 19, 20266 min read
AI Security

GenAI Code Assistants and Package Hallucination: 2026 Update

LLM-suggested package names that do not exist are a registered attack vector in 2026. Here is where hallucination rates sit today and how to contain them.

Mar 18, 20267 min read
AI Security

Prompt Injection Defences: Griffin AI vs Mythos

Prompt injection is the defining AI security problem of this generation. The defences are structural, not cosmetic — and the architectural choices show.

Mar 16, 20264 min read
AI Security

Enterprise AI Metric Design For Executive Reporting

AI-for-security metrics that show up on board slides are different from the ones engineers use day-to-day. Designing both sets properly is the work.

Mar 15, 20261 min read
AI Security

Real-World Vs Synthetic Eval Gap In Security

Synthetic eval benchmarks are controllable. Real-world data is messy. The gap between performance on each is usually large, and vendors prefer one over the other for a reason.

Mar 14, 20262 min read
AI Security

Cryptography Misuse Detection: Griffin AI vs Mythos

Crypto misuse is not about broken algorithms. It is about misused parameters, missing checks, and the gap between "it compiles" and "it is secure."

Mar 14, 20265 min read
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