Securiti AI Launches Context-Aware LLM Firewalls to Secure GenAI Applications


Toxic Data

Toxic data, in the context of data management and machine learning, refers to data that contains harmful, biased, or inappropriate content that can lead to negative consequences, ethical concerns, or discriminatory outcomes when used for analysis or decision-making. Toxic data can include offensive language, biased or discriminatory content, or any data that can perpetuate harm or unethical behavior. It is essential for organizations to identify and mitigate toxic data to ensure responsible data usage and model fairness in artificial intelligence applications.

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