AI Security
MCP Server Sandbox Escapes: Threat Model
A threat model for sandbox escapes in Model Context Protocol servers, mapping attack surfaces from tool execution environments to host processes and shared state.
Mar 25, 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
Training Data Poisoning: Pipeline Defenses
A senior engineer's guide to training data poisoning defenses in 2026, from split-learning detection to provenance attestation and continuous pipeline monitoring.
Mar 25, 20267 min read
AI Security
Griffin AI vs Sourcegraph Cody for Security Use
Cody's codebase-wide context is valuable for security review. Griffin AI adds reachability, taint, and policy grounding that Cody doesn't target.
Mar 24, 20262 min read
AI Security
Tool-Call Hijacking: Griffin AI vs Mythos
A hijacked tool call is more consequential than a hijacked response. The defence requires the tool layer to police the model, not the other way around.
Mar 24, 20263 min read
AI Security
From Finding To Merged Fix In An Hour
A one-hour cycle from vulnerability finding to merged fix is achievable in 2026, but only with a pipeline designed for it. Here is what that pipeline looks like.
Mar 24, 20268 min read
AI Security
Container Security Scanning Tools: How to Choose in 2026
Container security scanning tools find vulnerabilities in your images, layers, and dependencies before they reach production. Here is how the categories compare and what to look for.
Mar 24, 20266 min read
AI Security
AI Explainability: Why It Matters for Security and Trust
AI explainability is the ability to understand why a model produced a given output. In security, it is the difference between an alert you can act on and one you cannot.
Mar 24, 20267 min read
AI Security
Guardrails for Autonomous Code-Fixing Agents
AI agents can now open pull requests that patch vulnerabilities on their own. Without guardrails — scoped permissions, test gates, human merge approval — they can also break builds and introduce new flaws at machine speed.
Mar 24, 20266 min read
AI Security
AI Accelerators: A Security Guide to the Hardware Running Your Models
AI accelerators are the specialized chips that make model training and inference fast, and they bring their own attack surface: memory leakage, driver stacks, and firmware you did not write. Here is what to secure.
Mar 24, 20266 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.