Claude code execution and network egress settings explained
What the network options for Claude code execution mean, why all domains is the riskiest, and the mitigations Anthropic lists against prompt injection.
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.
What the network options for Claude code execution mean, why all domains is the riskiest, and the mitigations Anthropic lists against prompt injection.
The Claude Code sandbox restricts shell commands only. Defaults for writes, reads and network, how to turn it on, and what runs outside the boundary.
An LLM can summarize, enrich and rank alerts for an analyst, but should not close them alone. See where it helps, where it fails and how to set it up.
A system prompt can narrow what a model does, but it cannot enforce a security boundary. Here is what it helps with and what needs code outside the model.
Attackers retry the same request with small variations until one gets through. What best of N means for testing, rate limits and how you read your results.
If an AI assistant touches your security tools, you need a record of what it saw, said and did. This guide lists the fields to log and how to keep them.
A plain-language walk through the 16 MITRE ATLAS tactics, from AI model access to lateral movement, with what each means for an LLM app you run.
A checklist of MITRE ATLAS mitigations that apply to RAG systems: guardrails, telemetry, dataset provenance, validation, access control and agent limits.
Two MITRE ATLAS case studies, the Morris II worm and Slack AI exfiltration, show how a RAG index becomes an attack path. Here are the design lessons.
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