AI and Data Protection
As organisations increasingly transition from traditional, people-centric processes to automated, orchestrated, and AI-driven systems, the importance of cyber security cannot be overstated. The move to digital platforms, especially those powered by AI, opens up new avenues for efficiency and scalability, but it also introduces heightened risks related to data protection, privacy, and overall security. Ensuring these risks are managed effectively is critical for organisations aiming to safeguard sensitive data and maintain trust with clients and stakeholders.

Secure Data Enclaves and Generative AI
Secure data enclaves exist within the SmartAssessor platform to ensure client data is always separately partitioned from other client datasets. These enclaves are secured with unique encryption keys to ensure that sensitive data is processed in isolated, highly secure environments, preventing any form of unauthorised access. SmartAssessor has been architected to ensure that sensitive data cannot be transmitted to 3rd party generative AI models. Many frontier models can pose unique security risks if not managed correctly. By keeping sensitive data out of AI training datasets and models, Sendient can mitigate the risk of data leaks or misuse.

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Data security, privacy, and cyber resilience are not just considerations—they are fundamental to Sendient’s ethos and are architected into SmartAssessor from the ground up. Every aspect of the platform is designed with these principles in mind, ensuring that as organisations transition to AI-driven processes, they do so with confidence in their data protection. Smart Assessor’s robust security framework reflects Sendient’s unwavering commitment to safeguarding sensitive information, providing a secure foundation that empowers organisations to innovate and scale without compromising on trust or security.