AI Security
Continuous Eval & Release Gating: Griffin AI vs Mythos
Evals that run once are marketing. Evals that run on every build are infrastructure. Griffin AI runs the harness on every change; Mythos does not describe one.
Feb 28, 20267 min read
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Griffin AI vs GitHub Copilot for Vulnerability Fixing
GitHub Copilot suggests fixes. Griffin AI generates fix PRs with taint paths and disproof attached. The difference is review burden.
Feb 28, 20262 min read
AI Security
GenAI Coding Agent Privilege Escalation
Autonomous coding agents can escalate privilege in subtle ways that traditional threat models miss. A breakdown of the common escalation paths and how to constrain them.
Feb 28, 20267 min read
AI Security
Griffin AI vs Open Weights: On-Prem Tradeoffs
Open-weight models let you run everything locally. The tradeoff is quality, cost, and operational overhead. Griffin AI provides a different answer to the same on-prem need.
Feb 27, 20263 min read
AI Security
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.
Feb 27, 20265 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
From CVE To PR: The Full Remediation Pipeline
A complete walkthrough of the modern remediation pipeline, from advisory ingestion through merged and deployed fix, with every stage that actually matters.
Feb 27, 20268 min read
AI Security
Enterprise AI Data Residency Requirements, 2026
Data residency for AI workloads has moved from nice-to-have to contractually required. The shape of the requirement is specific and worth knowing before procurement.
Feb 27, 20262 min read
AI Security
Fine-Tuning Poisoning Detection for Supply Chains
Fine-tuning inherits every problem of the base model and adds dataset provenance as a new one. Here is how detection actually works in practice.
Feb 27, 20267 min read
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