Griffin AI vs OpenAI Function Calling: Scoping
Function calling gives models the ability to act. Acting safely on behalf of a specific user, in a specific context, within specific policy is a different problem.
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.
Function calling gives models the ability to act. Acting safely on behalf of a specific user, in a specific context, within specific policy is a different problem.
LLM selection is ultimately a cost-quality optimisation under workflow constraints. The curve is not smooth, and the right point on it depends on where errors land in your pipeline.
AI cyber solutions are most useful where they reduce analyst toil: triaging alerts, prioritizing vulnerabilities, and drafting remediation. Here is what to trust and what to question.
Software licenses fall into a few clear buckets — permissive, copyleft, and proprietary — and knowing which is which decides what you can legally ship. Here is the map, without the legalese.
TLS/SSL encrypts data in transit, but outdated versions and unpatched libraries like Heartbleed-era OpenSSL still expose real risk today.
Snyk AppRisk aggregates findings across Snyk's scanners into a single application-level risk view — here's what it covers, and what it doesn't replace.
SAMM, BSIMM, NIST SSDF, and ASVS answer different questions. Here is how to pick the one that fits your team and turn it into policy your pipeline can actually enforce.
Enterprise cloud security fails when it is treated as a tool purchase instead of an architecture. Here is how to design the layers, the ownership model, and the program around them.
Peter McKay has led Snyk as CEO since 2020, steering it from a developer-first open-source scanning tool into a broad, AI-integrated application security platform through a string of acquisitions and a sustained enterprise push.
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