AI Security
Cursor IDE Security Model: What Enterprises Need to Know
Cursor's 2026 security model introduces privacy modes, indexing controls, and agent sandboxes. Here is the enterprise-ready view of what works.
Feb 12, 20265 min read
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Deep dives, practical guides, and incident analyses from engineers who build Safeguard. No fluff, no vendor FUD — just what you need to ship secure software.
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Regression Gates: Griffin AI vs Mythos
Every release risks making the model worse. Griffin AI's regression gates block bad builds before they ship. Mythos-class tools rarely describe a gate process at all.
Feb 12, 20267 min read
AI Security
XSS Variants: Griffin AI vs Mythos
Stored, reflected, DOM, mutation, and template-injection XSS each live in a different part of the application and demand a different analysis. Griffin's engine understands template contexts, framework escaping rules, and client-side sinks; Mythos reads HTML and hopes. The difference shows up the moment you leave textbook territory.
Feb 12, 20267 min read
AI Security
Griffin AI vs Reka Multimodal for Security
Reka's multimodal models are interesting for specific security workflows. The question is whether multimodal is the binding constraint, and usually it isn't.
Feb 12, 20262 min read
AI Security
Container-Specific Vulnerability Management Tools, Compared
A field guide to container-specific vulnerability management tools: what Trivy, Grype, Clair, Docker Scout, and Anchore actually catch, and where each falls short.
Feb 11, 20267 min read
AI Security
Enterprise AI Incident Response Playbooks
AI incidents are not the same shape as traditional security incidents. The playbooks need to be specific to how AI systems actually fail.
Feb 11, 20262 min read
AI Security
Griffin AI vs Gemma for Lightweight Scanning
Gemma is built for efficiency. Can a small open-weight model replace Griffin AI for lightweight scanning workflows, or does the engine still matter?
Feb 11, 20267 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
Novel Bug Class Detection: Griffin AI vs Mythos
What happens when the bug does not match any known CWE? A study of how grounded and pure-LLM scanners perform on genuinely novel vulnerability patterns.
Feb 11, 20266 min read
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