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AI security

Prompt injection, explained for security teams

A practical threat model for LLM applications: where untrusted input enters, what it can reach, and which controls actually hold.

Shubham Sinha12 min read

Publishing shortly. The outline below is the commissioned structure for this article. Subscribe or book a consultation and we will send it when it goes live.

What this article covers

  1. 1Direct versus indirect injection
  2. 2Mapping the trust boundary in an LLM application
  3. 3Why output filtering alone does not work
  4. 4Controls that meaningfully reduce risk
  5. 5Monitoring an AI application in production
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