AI Security
What stops enterprises from adopting MCP safely?
Enterprise MCP adoption stalls on identity, tool permissions, visibility and prompt injection. Here are the hard problems and practical controls for each.
Oct 18, 20264 min read
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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.
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How does MCP architecture work: hosts, clients and servers?
MCP connects AI apps to tools through hosts, clients and servers. See how one host runs many one-to-one connections, and where to put security checks.
Oct 18, 20265 min read
AI Security
What should you log from AI prompts and tool calls for audit?
Log who, which agent, which tool, the arguments and the outcome for every AI action. Protect the logs and decide what full prompt text you need.
Oct 18, 20264 min read
AI Security
What should you log about prompts and tool calls for audit?
Log who asked, which model and version, which tools ran with what arguments and results, and who approved. Redact secrets and personal data, protect the logs and set retention.
Oct 18, 20264 min read
AI Security
How do LLM guardrails keep AI interactions safe and reliable?
LLM guardrails are checks on what goes into and out of a model and what it may do. See where to place them, what they cannot stop and how to test them.
Oct 18, 20264 min read
AI Security
What is a large language model and what are its security limits?
An LLM predicts the next token from patterns in text. It drafts well but invents facts and follows injected instructions, so treat its output as untrusted.
Oct 18, 20264 min read
AI Security
ISO 42001 vs NIST AI RMF: which do you need, or both?
ISO 42001 is a certifiable management system standard; the NIST AI RMF is a voluntary risk framework. Learn how they differ, overlap and how to choose.
Oct 18, 20264 min read
AI Security
How do you respond when an AI agent does something it shouldn't?
Treat an AI agent mishap as an incident: stop the agent, revoke credentials, keep logs, scope the damage, then fix permissions. Steps and a worked case.
Oct 18, 20265 min read
AI Security
Incident response for an AI agent mishap: a checklist
When an AI agent deletes, leaks or ships something it should not, respond in order: contain, keep the trace, scope impact, then fix permissions.
Oct 18, 20264 min read
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