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.
Photo analysis AI can read faces, locations, and text out of images at scale. The security questions are about where those images go and what the model leaks back.
Two years ago, AI vendors shipped without evals. In 2026, the posture has shifted. Customers expect benchmarks. Vendors without them lose deals.
The version a remediation tool picks matters more than the fact that it picked one. Griffin AI grounds its choice in the project; Mythos-class tools do not.
HIPAA's software supply chain expectations have sharpened in 2025-2026. Evidence generation is the difference between passing an audit and rerunning it.
Taint analysis only works if sources and sinks are labeled correctly. Griffin AI uses a curated catalog; Mythos-class tools infer on the fly.
MCP servers are becoming a new dependency class with their own supply chain risks. How to think about registry governance, verification, and enterprise ingestion policy.
Multi-agent systems inherit every trust problem of single-agent systems and add a few more. Here is how the threat model actually shifts.
You cannot secure what you cannot enumerate. Griffin AI maintains a typed inventory of every model, version, and deployment across a tenant. Mythos-class tools approximate the inventory in prose.
Cursor Tab is excellent at in-editor autocomplete. For security review, the workflow is different enough that the right answer is to use both.
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