AI Security
Ensemble LLMs For High-Precision Security Findings
One model's confident answer is a guess. Multiple models agreeing is evidence. Ensemble approaches raise precision for security-critical findings.
Mar 13, 20262 min read
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Griffin AI vs GPT-5: Compliance Posture
Compliance posture is about what you can prove, not what you can do. GPT-5 has impressive capabilities; Griffin AI is engineered to be defensible.
Mar 13, 20264 min read
AI Security
Security Testing for LLM-Powered Applications
Applications built on large language models introduce novel attack surfaces that traditional security testing does not cover. This guide addresses the specific testing methodologies needed for LLM applications.
Mar 12, 20267 min read
AI Security
Hallucinated Security Findings: Measurable Rates
Pure-LLM security analysis hallucinates findings at rates between 20% and 70% depending on the task and model. Grounding is the architectural answer.
Mar 12, 20262 min read
AI Security
Griffin AI vs Gemini for FedRAMP Workflows
Gemini has FedRAMP-authorised deployment options. Griffin AI builds on FedRAMP-aligned infrastructure. The comparison is about what the customer has to build.
Mar 12, 20263 min read
AI Security
False Positive Rates: Griffin AI vs Mythos Benchmarked
Why pure-LLM security products generate false positives that engine-grounded platforms like Griffin AI structurally cannot — with CWEs and real triage data.
Mar 12, 20266 min read
AI Security
Support Model: Griffin AI vs Mythos
Support tier comparisons look identical on paper. The real difference shows up at 2am during an incident, and the shape of that difference is worth understanding before signing.
Mar 12, 20265 min read
AI Security
Cursor Enterprise Security Buyer Review 2026
An honest security buyer's review of Cursor Enterprise for 2026: data handling, model isolation, audit posture, and the gaps to negotiate before signing.
Mar 12, 20265 min read
AI Security
Snyk Container Security: What It Scans and How
Snyk Container scans Docker and OCI images for OS and dependency vulnerabilities and recommends better base images. Here is how it works and where its limits are.
Mar 12, 20266 min read
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