Name: Privacera & AWS: Accelerate Analytics Workload Migrations to Amazon EMR
Start: 2022-04-21T21:54:00Z
End: 2022-04-21T21:54:28.000Z
Location: BrightTALK

Privacera, based in Fremont, CA, was founded in 2016 by the creators of Apache Ranger™ and Apache Atlas. Delivering trusted and timely access to data consumers, Privacera provides data privacy, security, and governance through its SaaS-based unified data security platform. Privacera’s latest innovation, Privacera AI Governance (PAIG), is the industry’s first AI data security governance solution. Privacera serves Fortune 500 clients across finance, insurance, life sciences, retail, media, consumer, and government entities. The company achieved AWS Data and Analytics Competency Status, and partners with and supports leading data sources, including AWS, Snowflake, Databricks, Azure and Google. Privacera is recognized as a leader in the 2023 GigaOm Radar for Data Governance; was named a 2022 CISO Choice Awards Finalist; and received the 2022 Digital Innovator Award. The company is also named a “Sample Vendor” for data security platforms in the Gartner® Hype Cycle™ for Data Security, 2023. Learn more at Privacera.com.

Join this webinar to learn why Chief Data Officers are at pivot point on a critical shift. That is, they are advocating from simply
collecting data to intelligently infusing data with context to really make Data AI-ready. You will learn why Large Language
Models (LLMs) often fall short in enterprise use cases due to a lack of context. Also, understand why it is particularly
challenging to gain context for structured data.

Data without Context Limits AI: Context Unlocks True Enterprise AI Value

Balancing data accessibility with ever-tightening privacy, regulatory, and security requirements has never been more critical - or more challenging. Traditional role-based controls can’t keep up with today’s sprawling, hybrid data environments, leaving gaps in precision, scalability, and compliance.
That’s why Privacera is excited to introduce Tag-Based Row-Level Filtering - a breakthrough approach that turns governance from a manual, complex burden into a streamlined, scalable solution. By using business-friendly tags instead of rigid, hard-coded rules, your teams can enforce policies directly at the data level—faster, more consistently, and with less risk.
Imagine enforcing a CCPA opt-out policy with a single “CCPA Opt-Out” tag that automatically excludes the right records across Snowflake, Databricks, and beyond. No more custom SQL filters, no more policy drift—just reliable, fine-grained enforcement at scale.

In this webinar, you’ll learn how Tag-Based Row-Level Filtering empowers your organization  to:

-Simplify governance with reusable, metadata-driven tags.
-Enforce policies consistently across multiple data domains and platforms.
-Strengthen compliance and reduce risk through precision access control at scale.

Simplifying Data Governance with Tag-Based Row Level Filters

Join Steve Jones and Balaji Genesan in a panel discussion to explore the intricacies of GenAI. Discover where GenAI is being implemented, its impact, and the leading industries driving its adoption. Learn essential actions and how technology can support these efforts. The discussion will then delve into the critical importance of security and governance for GenAI, highlighting which industries are at the forefront of protection and governance. Gain insights into actionable steps and the latest advancements in securing and protecting GenAI.

Speaker: 
Steve Jones, Enterprise Vice President – Collaborative Data Ecosystems, Capgemini 
Balaji Ganesan, CEO and Co-Founder, Privacera

Moderator: 
Myles Suer, Product Marketing Director, Privacera

Securing Generative AI

Gartner Predicted 30% of Generative AI Projects Will Be Abandoned After Proof of Concept By End of 2025. One of the contributing factors is that new GenAI solutions often overlook the sensitivity of the data required to deliver business value, leading to significant risks and inefficiencies. This presentation will explore the critical issues that need to be addressed to avoid common pitfalls, starting with the prevention of bias that can result in faulty conclusions. We will discuss the challenges associated with unstructured and other forms of data as they are fed into Large Language Models (LLMs), emphasizing the necessity of protecting data at all stages: during inquiry (at prompt or motion) and at rest when stored in a Vector Database.

Our session will detail how Privacera AI Governance (PAIG), can be deployed as a foundational element of your GenAI stack to effectively safeguard and secure data under these various conditions.In this session we will illustrate how PAIG can be applied to solve compelling use cases involving unstructured, semi-structured, and structured data. The presentation will conclude with an inspiring healthcare use case from an early adopter of PAIG, demonstrating the tangible benefits and enhanced data security achieved through its implementation.

How Not to Be Average at GenAI: Building a secure foundation for excellence

While the promises of generative AI (GenAI) is in the headlines, studies show that only 3% of enterprises actually have use cases in production that deliver real value. And the same study shows 52% of enterprises still have no idea how to proceed on this path and have blocked access to GenAI from corporate networks due to the perceived data privacy and security risks. Join our webinar with data privacy and security expert and serial founder Balaji Ganesa, Co-founder and CEO of Privacera to hear how to design you GenAI tech stack to be data security and privacy ready. 

In this session you will learn:
·  What are the major pitfalls when embarking on your GenAI journey
·  What are the key elements of a holistic data security and privacy framework for your GenAI architecture
·  A practical 4 step pathway to map out your journey to maturity

Demystifying GenAI: Building a Secure GenAI Application

Generative AI promises to transform every business function and process. But the growing awareness and risk associated with data security and privacy is putting the brakes on many initiatives. Privacera AI Governance (PAIG) is your holistic GenAI data security and privacy governance and management solution to accelerate the delivery of trusted and secure applications. 

Join our webinar with Privacera CTO and Co-founder Don Bosco Durai to learn:
• How to rapidly get started with PAIG and integrate with your own GenAI application
• Building your data security and privacy controls for your application
• How to secure retrieval augmented generations (RAG) systems with PAIG
• How to get holistic visibility and observability with our built-in dashboards and usage reports

On Thin Ice: Navigating the Perils of Security and Safety of GenAI Systems

The BCG suggests that a mere 10% of enterprises are scaling and getting real value from their GenAI initiatives and investment. A key element holding organizations back is providing robust security, privacy and governance on restricted corporate data that are part of GenAI applications or chatbots. Join our panel to hear how some organizations have built robust fine grained security and safety controls for their GenAI apps and associated retrieval augmented generation processes embedded into those apps. Our panel will share insights from real use cases and customer deployments using Privacera and Zilliz.

An Enterprise Grade GenAI Solution

In our previous webinar, we delved into Data Security Posture Management (DSPM), exploring its crucial role in helping organizations discover and categorize both structured and unstructured data across cloud service platforms (CSPs). This webinar examines why data security governance is essential, likening it to the chocolate in a Reese's Peanut Butter Cup.

Once organizations determine their risk exposure, they need to address their outdated policies and frameworks. They need to create a way to comprehensively fix their data security governance. Current tools lack the capability to actively secure data for advanced use cases, such as internal and external data sharing, and rely on manual processes and silo-specific security controls that hinder consistent data security policies.

By applying DSPM as part of your broader data security platform, organizations can streamline data access controls and protection, resulting in enhanced data security observability and improved compliance with regulatory standards. This presentation will demonstrate how Privacera enables effective data governance and optimizes data security controls, preventing the exponential increase in data access rules through a centralized system for policy and permission control. And provide better protection for the growing amount of data in cloud service providers.

Stronger Together: Why Data Security Governance Compliments DSPM Perfectly

In this "Hit Me with Your Best Shot: A Privacera Explained" video, Adam Diaz, Senior Sales Engineer at Privacera, demonstrates how to configure and use data server connectors with Amazon S3. Viewers will learn to set up access management, input necessary settings, create initial policies, and verify successful connections and policy enforcement, ensuring secure and efficient data access within the Privacera platform.

Connector Demo: S3

In this "Hit Me with Your Best Shot: A Privacera Explained" video, Adam Diaz, Senior Sales Engineer at Privacera, walks viewers through configuring and using PolicySync connectors, specifically with Databricks Unity Catalog. Viewers will learn how to set up access management, input necessary settings, create initial policies, and verify policy synchronization to ensure fine-grain access control within the Privacera platform.

Connector Demo: Databricks Unity Catalog

In this "Hit Me with Your Best Shot: A Privacera Explained" video, Adam Diaz, Senior Sales Engineer at Privacera, demonstrates the configuration and use of EMR with Privacera's plugin connectors. Viewers will learn how to connect applications, enable access management, create initial policies, and verify successful integration and policy enforcement within the Privacera platform.

Connector Demo: EMR

In this "Hit Me with Your Best Shot: A Privacera Explained" video, Adam Diaz, Senior Sales Engineer at Privacera, demonstrates how to access, visualize, and export audit logs within Privacera. Viewers will learn how to navigate the UI for audit logs, search and filter log data, and export logs to external tools for deeper analysis, enhancing transparency and compliance.

Audit Logs: Visualization & Export

In this "Hit Me with Your Best Shot: A Privacera Explained" video, Adam Diaz, a Senior Sales Engineer at Privacera, demonstrates the process of discovering and tagging data for policy enforcement. Viewers will learn how to set up and monitor data scans, interpret scan results, and utilize automated tagging to streamline policy application. The video covers configuring data sources, running scans, and managing tags, highlighting how automated tagging integrates with access management and masking policies to enhance data security and compliance.

Discovery: Results

In this "Hit Me with Your Best Shot: A Privacera Explained" video, Adam Diaz, Senior Sales Engineer at Privacera, delves into the architecture of connectors, explaining their operation and administration. Viewers will learn about the three main types of connectors: plugin, policy sync, and data server, and how each connects to Apache Ranger and Privacera to enable fine-grain and object-level access control across various data environments.

Connector Architecture

In this "Hit Me with Your Best Shot: A Privacera Explained" video, Adam Diaz, Senior Sales Engineer at Privacera, explains how Privacera connects to various data sources through its diverse range of connectors. Viewers will learn about the different categories of connectors, including SQL and NoSQL databases, big data platforms, cloud storage, data lakes, and messaging systems, highlighting how these connectors facilitate robust data governance and security across multiple environments.

Connector Classes

In this "Hit Me with Your Best Shot: A Privacera Explained" video, Jason Payne, Head of Solutions Engineering and Technical Services at Privacera, explains how to configure the discovery module. Viewers will learn how Privacera scans data sources to identify and classify sensitive information, using dictionaries, patterns, and models. The video covers the setup process, classification rules, and review procedures, providing insights into managing sensitive data efficiently and ensuring compliance with security and privacy standards.

Discovery: How Discovery Works

In this "Hit Me with Your Best Shot: A Privacera Explained" video, Adam Diaz, Senior Sales Engineer at Privacera, demonstrates how to discover and tag data for policy enforcement within the Privacera platform. Viewers will learn how to automate data tagging, set up data sources for discovery, and apply existing policies automatically. The video covers the process of configuring data sources, scheduling scans, and ensuring compliance with internal and external security standards, streamlining data governance and policy enforcement.

Discovery: Adding Sources

In this "Hit Me with Your Best Shot: A Privacera Explained" video, Adam Diaz, Senior Sales Engineer at Privacera, highlights the value proposition of Privacera beyond its features and functions. Viewers will learn how Privacera addresses the challenges of data volume, variety, and velocity by providing a unified data security governance platform. The video covers key features such as sensitive data discovery, centralized policy management, dynamic data masking, regulatory compliance, and operational efficiency, demonstrating how Privacera empowers organizations to secure their data assets and foster data-driven decision-making.

Privacera Value: Beyond Features & Functions

Digital transformation requires migrating on-premises data to the cloud. While many enterprises understand the advantages of cloud migration, most fail to anticipate the challenges and complexities of ensuring the security and governance of that data, especially in hybrid- or multi-cloud environments.

Learn from Christopher Jackson, Sr. Startup Solutions Architect, AWS and William Brooks, Senior Director Partner Product Management, Privacera as they share how enterprises can use Privacera’s Unified Data Access Governance platform to seamlessly migrate their on-premises data security policies to AWS.

You will learn how to:

• Migrate existing Apache Ranger access control policies seamlessly to the cloud
• Implement consistent data governance across AWS services, including EMR and S3
• Maximize the value of sensitive data, while maintaining compliance with privacy and industry regulations.

Privacera & AWS: Accelerate Analytics Workload Migrations to Amazon EMR

Cloud Migration

Data Security

Data Governance

Data Management

Apache Ranger

Sensitive Data

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Cloud Computing

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IT Security

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IT Governance, Risk and Compliance

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Enterprise Applications

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Big Data and Data Management

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Privacera & AWS: Accelerate Analytics Workload Migrations to Amazon EMR

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