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
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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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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
AI Security
The Real Security Concerns About AI in 2026
The most grounded concerns about AI are not sci-fi scenarios; they are prompt injection, data leakage, supply chain risk in models, and opaque decisions. Here is how each one actually shows up.
Feb 11, 20266 min read
AI Security
Prompt Injection Defense Architectures in 2026
Prompt injection remains the LLM01 entry on the OWASP LLM Top 10 for a reason. A pragmatic look at the defense architectures that hold up in production this year.
Feb 11, 20265 min read
AI Security
Container Security Vulnerabilities: How to Find and Fix Them
The container security vulnerabilities that actually get exploited, where they hide across the image lifecycle, and a practical order for fixing them without rebuilding everything at once.
Feb 11, 20266 min read
AI Security
AI Code Review for Security: How Effective Is It Really?
AI-powered code review tools promise to catch vulnerabilities faster than humans. We tested the claims against reality.
Feb 10, 20266 min read
AI Security
How to Choose a Container Scanning Tool That Actually Helps
A practitioner's guide to picking a container scanning tool: what it should detect, where it fits in the pipeline, and how to avoid drowning in false positives.
Feb 10, 20266 min read
AI Security
Benchmark Contamination Concerns In Security Evals
When the test set is in the training set, the benchmark is broken. Security eval contamination is widespread and the mitigations are specific.
Feb 10, 20262 min read
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