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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 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

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
AI Security

Race Condition Detection: Griffin AI vs Mythos

Race conditions are the hardest class of vulnerabilities for static analysis. Specific architectural capabilities separate tools that find them from tools that claim to.

Feb 28, 20263 min read
AI Security

LLM Selection For Security Workflows

Picking a model for a security workflow is not the same as picking one for a chatbot. Here are the criteria that actually matter and how to weigh them.

Feb 28, 20267 min read
AI Security

Open-Source LLM Supply Chain Incidents 2026

Open-source LLM ecosystems hit a turning point in 2026 as supply chain incidents — backdoored fine-tunes, compromised weights, malicious adapter packages — moved from rare to recurring.

Feb 28, 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

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

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
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