Join Privacera at Data + AI Summit to Learn About Privacera AI Governance

Thumbnail of blog entitled "Join Privacera at Data + AI Summit to Learn About Privacera AI Governance"

Data + AI Summit, the world’s most extensive data and AI conference, returns June 26 – 29, 2023. Privacera is exhibiting! Attend in-person or virtually to discover how Privacera can responsibly and efficiently migrate new workloads into the Databricks Lakehouse Platform. Lakehouse combines all your data, allowing you to perform everything from BI to AI on a single, open platform. Privacera helps you optimize your process with secure data sharing and accelerated data democratization.

Visit booth #818 to talk to our team and explore how Privacera natively connects to both Unity Catalog and non-Unity Catalog Databricks workspaces. This allows Unified Data Security and Access Control across workspaces and also across Databricks Unity Catalog and legacy Databricks environments. Data policies can be created once and applied easily and consistently across the entire Databricks environment.

The event will feature:

  • Over 250 technical sessions across industries, skill levels, and open-source technologies such as Apache Spark, Delta Lake, MLflow, dbt, and more.
  • Accelerate your career with an expanded curriculum of half- and full-day in-person classes. Most training classes will include both lecture and hands-on exercises. 
  • Attend networking events to interact and collaborate with peers.

Privacera Executives Speaking at Data + AI Summit 2023

Be sure to attend our CTO and Co-Founder Bosco Durai and SVP of Marketing Piet Loubser’s speaking sessions at the event:

  • Wednesday, June 28, 2:00 pm PST: Piet Loubser will present on “Essential Data Security Strategies for the Modern Enterprise Data Architecture” 
  • Wednesday, June 28, 4:30 pm PT: Bosco Durai will present on “Applying Advanced Data Security Governance with the Databricks Unity Catalog”

Introducing Privacera AI Governance

Privacera recently announced the private preview of Privacera AI Governance (PAIG), the industry’s first and most comprehensive AI data security governance solution. 

Generative AI and large language models (LLMs) have the potential to revolutionize enterprise operations by improving communication, automating tasks, enhancing decision-making processes, and delivering personalized experiences. But organizations are hampered in their adoption and use of generative AI due to concerns about privacy and security. PAIG brings a unique LLM approach to securing these types of use cases. From the continuous scanning and classification of training data to the securing and auditing of AI models, model responses, and user prompts, PAIG empowers organizations to efficiently manage the entire AI data security lifecycle.

With native enforcement of security and privacy controls across diverse data estates and architectures, Privacera’s latest innovation, built on open standards, helps companies reduce sensitive data exposure, increase privacy and ethics, and address regulatory and legal compliance issues with AI.

Privacera’s Unified Data Security Platform combined with PAIG fosters powerful AI data security governance and federated stewardship between IT departments and business teams. The solution combines comprehensive data security governance for relational data, non-structured data, and AI model training and access. 

PAIG combats the unpredictability of generative AI by helping companies avoid the potential misuse of data, address challenges in compliance policy enforcement, and reduce complexities that arise when runtime contexts are added during inference.

PAIG is currently in Private Preview. Interested customers can contact your account representative to schedule a demo or apply to get access to the preview. Learn more about PAIG here.

Make sure to add Bosco and Piet’s sessions to your event agenda. To reserve a 30-minute one-on-one meeting or booth demo with Privacera, click here.

Interested in
Learning More?

Subscribe today to stay informed and get regular updates from Privacera.