AI Security
In-depth guides and analysis on ai security from the Safeguard engineering team.
678 articles
Source/Sink Classification: Griffin AI vs Mythos
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 Server Registry Security Governance
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.
Agent-to-Agent Security in Multi-Agent Systems
Multi-agent systems inherit every trust problem of single-agent systems and add a few more. Here is how the threat model actually shifts.
Model Inventory Tracking: Griffin AI vs Mythos
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.
Griffin AI vs Cursor Tab for Security Review
Cursor Tab is excellent at in-editor autocomplete. For security review, the workflow is different enough that the right answer is to use both.
CSRF Modern Forms: Griffin AI vs Mythos
CSRF in 2026 is not the 2012 attack. SameSite cookies, fetch metadata, and modern frameworks changed the landscape. Detection needs to keep up.
Golden Dataset Design: Griffin AI vs Mythos
Benchmark scores are only as honest as the dataset behind them. Griffin AI publishes golden-dataset design notes; Mythos-class tools rarely explain theirs.
Enterprise AI Procurement Due Diligence Checklist
AI-for-security procurement covers more than feature comparison. The due diligence checklist that surfaces structural differences between vendors.
Deserialization Chains: Griffin AI vs Mythos
CWE-502 deserialisation chains are the canonical stress test for AI bug hunters. Why Griffin AI's grounded synthesis finds real chains and Mythos-class scanners hallucinate them.
Triage Backlog Reduction: Griffin AI vs Mythos
A shrinking triage queue is the clearest sign a security programme is working. We explain why Griffin AI shrinks queues and Mythos-class tools grow them.
Griffin AI vs Fine-Tuned Open Weights for SecOps
Fine-tuning an open-weight model sounds like a shortcut to a custom SecOps copilot. In practice, it is one step of a much longer journey.
AI-Powered Security Companies: A Buyer's Map
Nearly every security vendor now claims to be an ai security company — here's how to tell genuine AI-powered security from a rebadged feature, and what to actually evaluate before you buy.