What log data to redact before sending it to an LLM
Logs hold credentials, personal data and internal names. Here is what to strip or tokenize before an LLM sees them, and how to keep analysis useful.
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.
Logs hold credentials, personal data and internal names. Here is what to strip or tokenize before an LLM sees them, and how to keep analysis useful.
Prompt injection is input that changes an LLM's behavior in unintended ways. Learn direct vs indirect forms and the OWASP mitigation steps that help.
MCP is an open standard for connecting AI applications to data, tools and workflows. Learn how it works and the security questions it raises.
MITRE ATLAS is a public knowledge base of adversary tactics and techniques against AI systems. Here is what it contains and how teams put it to work.
AIDR is an emerging category that watches prompts, agents, models and data pipelines for attacks and misuse. Here is what it covers and what it does not.
An AI impact assessment documents purpose, data, impacts, reassessment, costs, review and risk acceptance. A template from public federal guidance.
VS Code can run MCP servers from workspace files, and local servers can run arbitrary code. A checklist on trust, config location, secrets and sandboxing.
The FBI warns criminals use AI voice and video to impersonate executives. Set a verification policy so a convincing call cannot move money or access.
A USENIX Security 2025 paper tested 16 code models and 576,000 samples for invented packages. What the figures say, what they do not, and what to do.
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