Recognized Excellence in Privacy and AI Innovation
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Ensuring ethical and secure AI operations is crucial. RAI provides real-time monitoring, adversarial attack detection, and governance frameworks like PASSFERS to safeguard AI outputs, ensuring models remain compliant, transparent, and accountable during inference.
Training models on unstructured data comes with privacy risks. PPML secures sensitive information with techniques like tokenization and format-preserving encryption, ensuring models are trained accurately and in compliance with privacy regulations, without compromising data utility.
Balancing privacy with data usability is challenging, when sharing sensitive information. PETs ensure data protection while preserving utility through advanced anonymization and encryption techniques like differential privacy and k-anonymity, keeping data secure and compliant.
Identifying privacy risks in complex data environments is difficult. PTM offers real-time detection, risk simulation, and AI-driven PII analysis to prevent data breaches before they happen. It provides businesses with the tools to stay compliant and secure, safeguarding sensitive information.
PMS streamlines verifiable consent records, real-time data flow tracking (ROPA), and integration with DPIA (Data Protection Impact Assessment). It ensures compliance and easy consent management, enhancing trust and privacy.
As AI continues to revolutionize industries worldwide, the need for ethical and transparent AI development has never been more crucial. With California’s Generative AI Training Data Transparency Act.
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Introducing the PERAI for AI Workbench: Revolutionizing AI with Privacy at its Core. Our comprehensive platform ensures robust data protection, regulatory compliance, and responsible AI deployment.
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Understanding privacy risk with Privacy Threat Modelling (PTM) and implementing privacy controls with Privacy Enhancing Technologies (PETs)
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