An organization is adopting advanced machine-driven communication features to handle user messages from staff and external clients. Which approach is the best measure to limit infiltration attempts disguised as normal content?
Use specialized filtering measures and checks within the chat platform
Directly import feedback from user messages for continuous training
Rely on a single encryption layer for all user messages
Specialized filtering helps detect malicious patterns or attempts at misuse by sanitizing user input. Encrypting data is useful for protecting information in transit, but it does not prevent hidden risks from being introduced. Logging and long retention of messages support investigations but do not take proactive measures against harmful input. Directly importing user feedback into the training set raises the chance of polluting the model.
Ask Bash
Bash is our AI bot, trained to help you pass your exam. AI Generated Content may display inaccurate information, always double-check anything important.
How do specialized filtering measures work in a chat platform?
Open an interactive chat with Bash
Why is encrypting data not sufficient for preventing infiltration attempts?
Open an interactive chat with Bash
What are the risks of directly importing user feedback into a model’s training set?