AI Security
Griffin AI vs GPT-5: Context Grounding
A million-token context window is a tool, not a solution. Context grounding for security requires architecture, not just capacity.
Feb 9, 20267 min read
Resources
Supply Chain Security, in plain English.
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.
Filter
Articles
RSS feedAI Security
The email-validator Python Library: Usage and Security Guide
How the email-validator Python package works, why regex-only validation is a trap, and the deliverability checks that quietly protect your signup flow.
Feb 9, 20266 min read
AI Security
Dark AI: How Attackers Weaponize Generative Models
Dark AI refers to generative models turned to malicious ends, from phishing at scale to malware assistance. Here is what defenders need to understand and do.
Feb 9, 20266 min read
AI Security
AI Model Supply Chain Risks: Hugging Face and the New Attack Surface
As organizations download pre-trained models from Hugging Face and other model hubs, the AI supply chain introduces risks that traditional software security tools don't address.
Feb 8, 20265 min read
AI Security
MCP Server Multi-Tenant Isolation
Practical guidance on isolating tenants on shared Model Context Protocol servers, covering identity, data, compute, and observability boundaries at production scale.
Feb 8, 20267 min read
AI Security
RBAC & Scoping: Griffin AI vs Mythos
An AI that reads your security data needs the same access controls as a human analyst. Most pure-LLM vendors stop at the role name. Safeguard enforces the scope.
Feb 8, 20267 min read
AI Security
Griffin AI vs Gemini Function Calling: Security
Gemini's function calling is strong and flexible. Griffin AI's tool layer is narrow and opinionated. For security workflows, the opinionated approach wins.
Feb 8, 20268 min read
AI Security
Tool-Call Privilege Escalation In Practice
When an agent can call tools, the permission boundary is no longer between the user and the system. It is between the model's current beliefs and everything the model can reach. That is a much harder boundary to defend.
Feb 8, 20268 min read
AI Security
AI Model Weights: Signing, Attestation, Provenance
Model weights are binaries with the privilege of code and the review of documents. Here is what signing, attestation, and provenance should actually look like.
Feb 8, 20267 min read
Stay informed
Weekly insights on software supply chain security, delivered to your inbox.
Self-healing security runs on Safeguard.
Your first fix PR is minutes away.
No sales call required, even your agent can complete the purchase over MCP.