Integrate AI applications developed on Amazon SageMaker and Amazon Bedrock seamlessly to innovate and create secure generative AI applications.
Privacera, a company specializing in AI and data security governance, established by the creators of Apache Ranger™, is now collaborating with Amazon Web Services (AWS) to enhance security for foundation models (FMs) utilized in generative AI applications. This integration was announced in a press release from Fremont, California, on November 27, 2023. The primary objective of Privacera AI Governance (PAIG) is to empower FMs and relational AI applications to effectively manage and safeguard sensitive data. By leveraging the capabilities of Amazon SageMaker and Amazon Bedrock, PAIG supports both open-source and proprietary FMs and workflows, enabling developers to construct and scale generative AI applications through an API. Customers can further enhance security and privacy measures with PAIG by leveraging AWS services that adhere to enterprise-grade safety and protection standards.
Balaji Ganesan, the co-founder and CEO of Privacera, emphasized the importance of secure and transparent utilization of conceptual AI software in today’s data-driven businesses. He highlighted the necessity for the next generation of AI applications to prioritize security, user-friendliness, consistency, and automated enforcement. The announcement of PAIG’s integration with Amazon Bedrock and Amazon SageMaker signifies Privacera’s commitment to AWS and their capability to seamlessly integrate with AI and ML services to assist businesses in meeting critical security, management, and compliance requirements.
PAIG offers a comprehensive set of built-in product features to address the protection, security, and compliance needs associated with developing conceptual AI applications. It provides consistent security controls for training, tuning data, and managing user-injected model inputs and outputs, whether utilizing open-source, public FMs or customizing private FMs.
The integration introduces various security and governance capabilities for relational AI applications, covering aspects from discovery and education to implementation and continuous monitoring:
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Prevention of Sensitive Data Leakage: PAIG enables users to establish and implement security policies using user-friendly language, ensuring quick deployment across any conceptual AI application or model.
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Anomaly Detection and Data Masking: By analyzing user-injected inputs and outputs, PAIG identifies sensitive data in AI model outputs and inputs, blocking or masking data that could expose the model or grant unauthorized access to data.
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Traceability and Visibility: PAIG’s dashboards provide visibility into all conceptual AI applications and models, tracking customer interactions and safeguarding sensitive data. Privacera offers detailed audit trails to monitor user activities and ensure compliance with specific security requirements.
The integration with Amazon Bedrock expands Privacera’s existing integrations, offering a unified data security governance solution across more than 20 AWS services, including data and analytics services like Amazon Athena, Amazon EMR, Amazon OpenSearch Service, and Amazon Redshift, as well as Amazon Relational Database Services (Amazon RDS) and third-party services running on Amazon such as Databricks and Snowflake.
Privacera recently introduced Privacera AI Governance (PAIG) as one of the most comprehensive AI data governance solutions available. For more information on PAIG or conceptual AI Governance, visit the Privacera website.
Privacy Information: Privacera, headquartered in Fremont, CA, was established in 2016 by the founders of Apache Ranger™ and Apache Atlas. Specializing in delivering secure and regulated access to data consumers, Privacera offers data privacy, security, and governance through its SaaS-based unified data and AI security platform. The company’s latest innovation, Privacera AI Governance (PAIG), is the industry’s pioneering AI data security governance solution. Serving Fortune 500 clients across various sectors, Privacera has achieved AWS Data and Analytics Competency Status, collaborates with leading data sources like AWS, Snowflake, Databricks, Azure, and Google, and has been recognized for its excellence in data governance. Learn more about Privacera and its accolades at Privacera.com.
