Privacy in AI

Privacy Risks in AI Systems

AI models often depend on large datasets, including sensitive user information. Without strong privacy controls, these systems can be used to track, profile, or expose individuals inappropriately.

Common Privacy Challenges

• Unauthorized data access or reuse
• Re-identification of anonymized data
• Data leaks via model outputs

Viswanext’s Approach

We ensure privacy through differential privacy techniques, federated learning, secure multiparty computation, and strict data governance frameworks.

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