AI TRiSM addresses five key areas:
- Explainability: AI TRiSM helps organizations understand how their AI models make decisions and identify potential biases.
- ModelOps: AI models need to be managed and maintained just like any other software system. AI TRiSM provides tools and processes for automating and monitoring the lifecycle of AI models.
- Data anomaly detection: AI models are trained on data; if the data is incorrect, the outputs won’t be satisfying, too. AI TRiSM helps organizations identify and address data anomalies that could lead to errors in AI models.
- Adversarial attack resistance: AI TRiSM provides tools and techniques for defending against adversarial attacks.
- Data protection: AI models often contain sensitive personal data. AI TRiSM helps organizations comply with data privacy regulations and protect the privacy of individuals.
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