Audit Your GPT
Every GPT you build — whether simple or complex — carries hidden risks. Some come from user inputs, others from prompt structure, workflow design, or unexpected LLM behaviour. Auditing your GPT means checking for weaknesses before they break your tool or expose data. This page explains what to look for and how Probubo helps.
Why GPTs Need Auditing
Even well-designed GPTs can:
• Drift away from your instructions
• Reveal internal logic to users
• Misinterpret steps because of formatting
• Fail when input style changes
• Be overridden by hidden or indirect commands
• Behave differently after model updates
These problems are common, not rare — and hard to notice until damage is done.
What an Audit Checks For
A proper GPT audit examines:
• Prompt injection risks
• Safety gaps in system instructions
• Workflow stability and drift
• Input vs. instruction separation
• Hidden override patterns
• The clarity and strength of your guardrails
• Data safety and exposure points
Audits reveal where your GPT is fragile — so you can fix issues before users encounter them.
Signs Your GPT Needs an Audit
• Behaviour changes over time
• Users get inconsistent or unsafe outputs
• Instructions are ignored or rewritten
• Long text inputs break the workflow
• You’ve added features but never re-validated them
• You rely on agents, memory, or code execution
• You’re unsure how protected your tool really is
Auditing is the difference between “it works” and “it works safely and consistently.”
How Probubo Helps You Audit
Probubo gives you the practical safety checks that GPTs normally lack:
• Validates your system instructions
• Flags weaknesses in prompt structure
• Detects injection and override patterns
• Strengthens workflow steps
• Identifies drift areas before they break
• Helps you rebuild your GPT on a safer foundation
It’s designed for creators, not engineers — no technical skill needed.
Audit and secure your GPT with Probubo →
For Beginners
You don’t need to understand AI security to have a safe GPT.
Probubo does the heavy lifting so your tools behave consistently under all conditions.
For GPT Makers & AI Builders
The more advanced your GPT becomes, the more fragile it is.
Regular audits keep complexity from turning into instability or risk.
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