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security · 1 min read

Prompt Injection: Detection, Prevention and Recovery

Prompt injection is the SQL injection of the AI era. Here is how Bhogar AI detects it, prevents it, and recovers when it slips through.

BABhogar AI TeamProduct & Engineering

Prompt injection is the single most-active class of attack on production LLM apps. Treating it as a one-shot defence misses the point - it is a class of attacks that needs defence in depth.

Why it matters

Direct injections in user input are the easy case; indirect injections via retrieved content, tool outputs and uploaded files are where most production systems fail.

How Bhogar AI approaches it

Bhogar AI defence-in-depth: input classification at the gateway, retrieval-time scrubbing, tool-output sanitisation, output policy enforcement and per-action approvals for high-risk operations.

  • Input-side prompt-injection classifier
  • Retrieval-time scrubbing of injected directives
  • Tool-output sanitisation
  • Output-policy enforcement on actions
  • Per-action approval for high-risk operations

What you get

Customers running the full stack of defences report near-zero successful injection incidents in production over rolling 12-month windows.

See Bhogar on your own data

Book a 45-minute working session. We connect one of your sources, build one agent, run one governed workflow, and review the trace together.