Name: 5 Steps to Governing Generative AI
Start: 2023-12-12T18:00:00Z
End: 2023-12-12T18:00:23.000Z
Location: BrightTALK
Rating: 0

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.

In the age of artificial intelligence and large language learning models, the importance of AI governance cannot be overstated. It is the framework that ensures responsible and ethical usage of AI technologies. As AI's role in businesses becomes increasingly crucial, we invite you to join us for an engaging session that explores the significance of Privacera AI Governance (PAIG) in safeguarding enterprises in the cloud.

Demystifying AI Governance: An Introduction to Privacera AI Governance PAIG

During the session we will talk about the challenges companies face in their efforts to become data driven and democratize data at scale, while still remaining compliant with their various regulatory and internal privacy and security mandates.

5 Best Practices Towards Modernizing Your Data Security Governance Stack

The Privacera Governed Data Stewardship presentation shares how organizations can accelerate their self service business intelligence by speeding up the process from data discovery to data access and use. The presentation covers why this process currently makes IT a bottleneck to the business with a tangible business and IT cost. And how GDS transforms the process and empowers data stewards.

Accelerate Data Access With  Governed Data Stewardship

In this webinar, Bob and Vince will discuss how to reduce data security and governance risks, while reducing the  effort needed to manage data security governance across all your AWS Data Services, including Amazon S3, Amazon EMR, Amazon Athena, Amazon Redshift, and Amazon RDS. This webinar will also discuss how this unified approach to data security governance can be integrated into a data stewardship program that empowers the business and reduces the burden on IT. Learn how adopting a unified data security governance approach, as well as implementing a data stewardship program will allow you to greatly automate, simplify, and streamline data security governance processes for AWS analytics use cases.

In this webinar, you will learn:
• How to automate and simplify data security across AWS data services
• How to deploy a data security governance stewardship program
• How to integrate data security governance into your broader AWS ecosystem

Reduce Data Security Risk Across AWS Data Services

Generative AI will transform how organizations operate with significant impacts to top line and margin growth, but they also open organizations up to unprecedented risk. The solution isn’t isn’t to restrict GenAI, putting you at a competitive disadvantage, but to secure and govern AI models and how your organization uses them.

In this presentation, we will discuss unified data security governance and how you can apply it to your Generative AI strategy. We will address the importance, approaches, and best practices to securing and governing GenAI, allowing organizations to take full advantage of the opportunities that AI presents.

Join Balaji Ganesan, Co-Founder, and CEO of Privacera as he shares:

• The new challenges and risks that come with GenAI
• How the security and governance landscape has changed with GenAI
• How to effectively mitigate GenAI risks

Balancing Risk in the Age of Generative AI

How does data governance work? How do you apply it? And how do you uplevel your data policies into a proper data security governance framework?

Technology and business leader and author Jonathan Reichental, PhD, set out to answer these questions in his recently published book Data Governance for Dummies. In his book, he breaks down the basics of the role of data and how organizations can identify the value and impact of data, and design governance and security programs that build a data-centric culture.

Join us on Thursday, August 24, 2023, at 10 AM PST, as Jonathan, along with Privacera team members, Vince Goveas, Senior Director of Product Management, and Myles Suer, Strategic Marketing Director, as they unpack these ideas and how to do data governance right, with a focus on how to:

• Prioritize and make data governance more approachable.
• Avoid bureaucratic, complex, expensive, and discretionary approaches.
• Tackle data security governance with a simple, unified approach.

Watch this webinar and start your data security governance journey on the right foot.

Data Governance for Dummies: Going from Governance to Security Governance

The criticality of becoming a data-driven enterprise is a given. But there are multiple data, security and governance approaches to get there. Which should you choose?

Learn the challenges of implementing a Data Lake and the benefits of a modern Data Mesh approach with AWS. Hear from AWS Senior Partner Solutions Architect, Ayan Ray, and Privacera Director of Sales Engineering, Lovelesh Chawla, as they discuss the importance of implementing a modern unified data security governance platform. Manage, secure, and automate data access, security, and compliance simply and consistently across your entire data mesh on AWS.

No ivory tower. Hear about a real, successful customer journey. Learn from their challenges, and plan for the same big benefits they experienced.

Watch now to learn:
• Common approaches to enable data-driven organizations
• Why a data mesh approach on AWS can accelerate your data initiative
• How to universally secure and govern a modern data mesh

Be data-driven. Secure and succeed. Watch now!

Secure Your Data Mesh Architecture on AWS

Data security is a foremost consideration in every enterprise. More than four-fifths of respondents to a recent TDWI survey reported that security is the most important component of their organizations’ initiatives to make their organizations’ data and analytics practices more responsible. Stronger governance and compliance were also cited by substantial majorities of respondents.

Data security governance solutions are key infrastructure for securing lakehouses and other modern cloud data assets. TDWI research has found that data security platforms have become a priority for organizations because they can help ensure compliance, data accessibility, and security. Join TDWI senior research director James Kobielus in a webinar to discuss the role of centralized data security, access governance, and other key capabilities in augmenting how enterprises secure data in their cloud and IT infrastructures.

After context-setting presentations, Kobielus and invited guests will engage in a panel discussion on the following issues: 

•  What are the principal challenges for enterprises seeking to secure and govern their data more effectively in a modern cloud lakehouse?
•  What are the best practices for enterprises seeking to augment data security and compliance in their lakehouses and across their distributed cloud environments?
•  What security and policy management capabilities are necessary for enterprises to succeed with secure data stewardship initiatives, data security at scale, agile data access, simplifying complex data ecosystems, and robust data productization?
•  How can a data security governance platform improve data security, governance, and curation across complex enterprise IT data infrastructure?

Sponsored by Databricks, Privacera

Speaker: 
James Kobielus, Senior Research Director, Data Management at TDWI
Pradeep Anandapu, senior partner solutions architect at Databricks
Lovelesh Chawla, Director of Solutions Engineering, Privacera

Augmenting Data Security in the Modern Cloud Lakehouse

Do you have the right balance for enduring business success? The demand for self-service data and analytics is growing. But balancing that with security, privacy, and compliance creates a huge amount of organizational friction and delays business-critical initiatives.

To accelerate business insights from data, at scale, your enterprise must modernize, simplify, and automate manual data security governance to make data more accessible. The reward? According to Forrester analysts, just a 10 percent increase in data accessibility will result in more than $65 million additional net income for a typical Fortune 1000 company.

Hear from Privacera Co-Founder & CEO Balaji Ganesan as he shares:
• Organizational and strategic bottlenecks that hamper a holistic enterprise data security governance strategy
• Strategies for automating and governing data security using a single Unified Data Governance platform
• How to modernize data security governance from a dictated, command, and control approach to a federated model involving all stakeholders

Modernizing Data Governance for Faster Insights

Self-service data access opens up massive opportunities for your organization. But it can also open you up to major vulnerabilities and compliance risks. Keep it secure and compliant with robust, enterprise-wide data democratization.

Join our Senior VP of Marketing Piet Loubser on August 25th to learn how to remove critical roadblocks to self-service data access. He’ll hand you the keys to achieving agile data governance.

In this webinar, Piet distills decades of industry knowledge to show you how to crush common blockers, helping you balance powerful data sharing with security and privacy requirements, clearing the way for your teams to get the data they need while maintaining secure compliance.

Key topics you’ll learn about:

• The elements of a modern analytics data governance program
• The stakeholders you need to involve in your program
• Six critical steps to implement a modern analytics data governance program

Powering Data Democratization: 6 Steps to Implement Modern Data Governance

With the explosive growth in data volumes, data access requests, and interest in data democratization, data security and governance has become more important than ever. To ensure secure, reliable, and proper access to data, organizations need to implement a centralized data security governance strategy. Dremio & Privacera have partnered together to provide a solution that allows organizations to easily implement fine-grained access controls on their open data lakehouse.  

This webinar will detail how Dremio & Privacera can provide organizations with the tools to build their unified data security governance solution.   

Attendees will learn:
• The importance of implementing unified data security governance for the open data lakehouse
• How to use Privacera to implement fine-grained access controls for queries on Dremio’s open data lakehouse
• How the integrated Dremio & Privacera solution provides column and row access controls across federated datasets
• Best practices for deploying and using the Dremio & Privacera solution

Centralize Data Security Governance with Dremio & Privacera

Digital transformation and rapid cloud adoption massively impact security postures for organizations of all sizes. The new world of zero perimeters and separation of data storage, compute, and consumption requires a new, holistic approach to access security and provisioning. In their latest Hype Cycle for Data Security 2022, Gartner expands on a new concept—Data Security Governance. Specifically, Data Security Platforms as a modern approach to comprehensive data security and access controls in a world demanding more, faster access to data.

Watch this webinar to hear Privacera SVP of Product, Rajiv Dholakia, discuss:

• Utilize Gartner’s Hype Cycle for Data Security for your operations
• Solve data and privacy regulation challenges with data security governance
• Develop a single data security control plane via the unification of tools within a Data Security Platform.

Leaders are challenged to support business objectives while achieving consistent data security across the accelerating evolution of multicloud and hybrid IT architectures. Listen now to emerge more holistically secure and agile.

Emergence of Data Security Governance: A Roadmap to Business Success

Financial Services face unique data security challenges and the key to a successful strategy must balance the institutions' need for access to data as part of their growth strategy and the internal and external security and compliance requirements.  Not only does an insufficient data security strategy and execution lead to a huge amount of internal friction, but also delays in getting data critical to business initiatives. To accelerate business insights from data, at scale, the enterprise must modernize their data security approach and take a holistic view of security and governance. 

Join Balaji Ganesan, Co-Founder, and CEO of Privacera as he shares why:
• Aligning security, data and analytics, and IT functions is critical for a holistic enterprise approach to data security governance 
• An Enterprise Data Security Strategy is vital to become data driven and achieve operational efficiency at scale
• A Unified Data Security Platform is required to implement a successful data security governance strategy. 

This session was recorded for the Digital Transformation in Banking Summit.

A Modern Data Security Governance Strategy for Highly Regulated Industries

It’s a real economic jungle out there. Budgets might be getting cut, but you can cut through the jungle with self-service help across your teams. Get help! Daniel Petzold, Senior Product Marketing Manager, will serve as your guide to help you reduce IT workloads and costs for distributed data access and governance—agile, cost-efficient self-service across your teams.

In this webinar you'll learn how to:
• Build a unified data governance that provides the central set of policies your teams desperately need
• Ensure the right people get the right data—on time with a modern data architecture
• Reduce costs and risk for your entire organization with centralized governance, secure data access, and rapid discovery.

Watch this webinar and you’ll soon be cutting through the jungle.

Reducing Costs and Increasing the Value of Data Governance

Your enterprise data can significantly impact revenue, productivity, and profitability. As a result, the demand for secure, self-service analytics has never been greater to enable data users across organizations to rapidly access data critical to business operations.

Learn how the Snowflake Data Cloud eliminates complexity and simplifies data pipelines, while Privacera’s centralized governance and fine-grained security makes self-service data access and sharing possible for any data user– data scientists and business users alike. In this webinar, we will discuss how organizations can securely utilize Snowflake for analytical workloads that incorporate sensitive financial data, implement fine-grained access controls and workflows to automate governance, and safely democratize data internally and externally – all without compromising security, privacy, or compliance.

Attendees will learn:

• How to enhance and simplify Snowflake data security and governance
• How to use advanced data security for sensitive financial data
• How to accelerate secure data sharing

Simplified Data Access Governance for Snowflake

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

The demand for accessible data and analytics is growing and consideration for consumer privacy and compliance must not be overlooked. To deliver business value securely, the enterprise must effectively balance regulatory compliance while growing data-driven insights.

Join Balaji Ganesan, Co-Founder and CEO of Privacera, on Thursday, March 24th at 10am PT as he shares:
• Strategies for automating and governing the data lifecycle in a controlled environment
• How to implement proactive controls to protect, detect and respond to threats in real-time
• How to empower employees to develop data literacy skills and grow their knowledge

The Dual Mandate – Balancing Data Democratization and Compliance

Generative AI has a massive global impact, yet its potential is hindered by security and governance concerns. This webinar explores the unique challenges of governing Generative AI compared to traditional data governance.

Discover why Generative AI introduces unpredictability and complexity, and how to establish a strong governance foundation. We'll reveal five crucial steps for secure and compliant Generative AI implementation.

Don't miss this opportunity to unlock the power of Generative AI while ensuring data security and compliance. Join us to gain valuable insights and practical strategies.

5 Steps to Governing Generative AI

Generative AI

Privacy

Risk Management

Compliance

Policy Compliance

Data Analysis

Data Discovery

Data Security

Data Governance

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5 Steps to Governing Generative AI

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