Name: AI Talk: Proteção de dados e privacidade
Start: 2021-03-26T18:10:00Z
End: 2021-03-26T18:10:34.000Z
Location: BrightTALK
Rating: 0

For over 20 years, Protegrity has been a global leader in data security, setting the standard in precision data protection for the most sensitive enterprise data. Our platform allows for safe and compliant data use with unrestricted access to data security technology and 24/7 support. 

Unlocking Sensitive Data to deliver new business value.

In today's data-driven landscape, organizations face the critical challenge of safeguarding sensitive data while still maximizing opportunities. 

Join us in this upcoming webinar on April 17th at 11 am EDT | 4 pm BST covering: 

- How to migrate sensitive data safely, and efficiently to cloud environments
- Unlocking sensitive data through Protegrity's capabilities
- How to create data products comprised of PII/PHI/PCI that can be safely shared with third parties

Register now to join the live discussion!

Enabling the Data Revolution

Australia’s data privacy landscape is evolving quickly.

The Federal Government is implementing more stringent data privacy and cybersecurity in 2024. As of September 2023, the Australian Government had agreed to 38 of 116 recommendations, which will now be drafted into the Privacy Act in 2024. 

Join us in this upcoming webinar as we uncover four key recommendations to future proof your company to comply with Privacy Act 2024.

Navigating Australia’s data privacy landscape in 2024

In modern society, for all industries, navigating digital transformation and stringent data privacy regulations presents both challenges and opportunities. With attacks more sophisticated, regulations more stringent, and the demand for ever more innovative use at an all time high, traditional data protection methods no longer cut it. Organisations must look to implement comprehensive data protection strategies. 

Join our webinar on 27th March at 3pm GMT | 4pm CET to hear: 

 - How organisations can effectively implement pseudonymisation to enhance data privacy, while maintaining data usability for monetisation
- In what ways a proactive data strategy can reduce operational costs and minimise privacy risks
- The key factors in transforming data privacy compliance into a competitive advantage for organisations in highly regulated markets, such as telecom

Register today!

Realising Revenue Benefits & Data-Driven Potential with Data Modernisation

Join cloud and security experts from KuppingerCole Analysts and data security firm Protegrity as they discuss how organizations can migrate to the cloud securely to reap the benefits of a data-driven business that accelerates innovation, AI initiatives, and business intelligence.

Mike Small, Senior Analyst at KuppingerCole Analysts will describe how digitalization and data are the critical business assets of the modern organization.  However, moving data to the cloud creates security and compliance challenges. Organizations need to choose the best platform that supports tools and techniques needed to manage these.

Alasdair Anderson, Vice President at Protegrity will explain how a modern approach to data can break down silos, ensure data security and privacy, and empower your business to leverage data for innovation and monetization. He will also give an overview of how Protegrity’s data security platform supports data modernization.

Join this webinar to:

- Understand the competitive advantage of data modernization.
- Find out why migrating to the cloud is the first step to data modernization.
- Learn how to protect your data through a successful migration to the cloud.
- Discover how to make data secure, yet accessible to meet business needs.
- Find out how to choose the right tools to support secure migration to the cloud.
- Get an overview of Protegrity’s data security platform.

Supercharge Your Business with Cloud-Based Data Modernisation

New technologies are rapidly changing the way we use data to optimize experiences. To stay competitive, businesses must modernize their data processes.  

Join us for our data modernization webinar, covering how every business, despite the market, can optimize their data processes and monetize using new technologies.  

 In this webinar, we’re joined by Protegrity's VP of Product Marketing & Strategy, Nathan Vega, who will dive into: 

- The top trends in Data Modernization 
- Overcoming security and privacy barriers holding back your sensitive data 
- The power of federated architectures for data security and data mesh 

Register now for a live discussion and learn how to modernize your data strategy in our evolving digital climate.

Data Modernization for ALL Data: Enabling AI, Cloud, and Monetization

An encore presentation of unlocking your data protection from HIMSS March 2022. James Rice and Nathan Vega discuss precision data protection and how to accelerate business, especially in the healthcare industry, towards using data and leveraging it to create better customer experiences, better competitive advantages, and creating better privacy for your customers. They demonstrate ways to aggregate and analyze PHI with privacy-enhanced datasets. Leading healthcare companies realize that to unlock the potential value of sensitive data, businesses need to innovate to deliver new value to the business, patients, and partners. Through a centralized data protection service, we will show how healthcare businesses can embrace AI/ML, cloud, and new technologies while ensuring patient privacy isn’t compromised.

Precision Data Protection - Unlocking your data changes everything

Data security is one of the issues impacting the future of our digitalized and globally networked world. Yet, while organizations are moving towards data-driven decision-making, many have been hampered by concerns over data security and compliance needs in their analytics workflow. Royal Cyber has a strategic partnership with Protegrity, a global leader in data security that future-proofs businesses and safeguards sensitive data everywhere as data-privacy regulations evolve. The Protegrity Data Protection Platform lets you focus on developing and managing your mission-critical applications on the most secure cloud for business.

Fundamental Strategies to Securely Migrate Sensitive Data to the Cloud

Attackers may already be in your environment and constantly find new ways to avoid detection. Attacks involving Phishing, Ransomware, Misconfiguration, Stolen credentials, and Mis-delivery continued to increase in 2020 according to Verizon DBIR and 10% of all breaches involved ransomware.

The U.S. Secret Service noted that most organizations had adequate data backup, but cyber actors shifted their focus to the exfiltration of sensitive data and threatening to publicize the data unless additional ransom was paid. 
 
We will discuss how to use the “NIST CYBERSECURITY FRAMEWORK FOR RANSOMWARE” to Prevent Attacks and Recover after Attacks. 80% of all attacks in 2020 involved servers and 53% target WEB servers according to Verizon DBIR. We will discuss the Top 10 Web Application Security Risks according to OWASP and the Top Ten Proactive Controls that describes the most important control and control categories that every architect and developer should include in every project.
 
Make sure that your data is private and protected in transit, in use, in memory, and at rest. Sensitive data can be secured and protected by a robust data backup plan so systems can quickly be restored. A multi-layered defense can help to create a good security posture and how to discover unusual activity on your sensitive data. We will discuss how to create strong ransomware mitigation can be built on NIST SP 800-207 Zero Trust Architecture (ZTA) to Defend Users and Resources and how Attribute-based access control can dynamically enforce policies based on a wide range of attributes to protect data. We will discuss Data Security for Hybrid Cloud, tokenization, anonymization, encryption, and other privacy models that are defined in the  INTERNATIONAL DATA PRIVACY STANDARD ISO/IEC 20889.

Protecting Data from Ransomware and other Attacks

Providing seamless omnichannel customer experiences, at the same time as complying with ever-evolving privacy regulations, is essential for the bank of the future. However, the digital world comes with many challenges when organisations work with sensitive data. Here are just some of the things many businesses are asking as they take the leap into digitisation:

- How can financial services organisations safeguard their businesses, reputations, and customers from the constant threat of hackers, spammers and organised crime?
- How can you protect your customers' data at the same time as transforming your entire way of working while you move to cloud services and agile ways of working?

Building the Digital Bank of the Future

Join our VP of Product Strategy and Innovation, Nathan Vega in a discussion about gaining advantage against ransomware, understanding why it’s a growing business challenge and the two distinct impacts associated with it, how to stop negotiations, and take back control of your sensitive data.

Gaining Advantage Against Ransomware

Data and analytics can be a game-changer for enterprises. To stay innovative and leap ahead of the competition, businesses need to tap into all kinds of data—including valuable sensitive data—to gain deeper and comprehensive business insights while empowering all users. But data-driven innovation often gets delayed because of data security and privacy concerns, limiting the value companies get out of their data. The joint solution from Exasol and Protegrity lets organizations charge forward with their data-centric initiatives by identifying and protecting sensitive data faster than ever before. Join us Tuesday, June 29, 11 a.m. ET/8 a.m. PT, for our upcoming webinar, “Unlock the Value of Sensitive Data Faster Than Ever Before,” to hear how EOS, a leading financial services provider, gains greater confidence in its data and is expanding analytics to broader use cases with the joint solution from Exasol and Protegrity.

Unlock the Value of Sensitive Data Faster Than Ever Before

Providing seamless omnichannel customer experiences, at the same time as complying with ever-evolving privacy regulations, is essential for the bank of the future. However, the digital world comes with many challenges when organisations work with sensitive data. Here are just some of the things many businesses are asking as they take the leap into digitisation:

- How can financial services organisations safeguard their businesses, reputations, and customers from the constant threat of hackers, spammers and organised crime?
- How can you protect your customers' data at the same time as transforming your entire way of working while you move to cloud services and agile ways of working?

Join us on July 7th at 11am BST to learn why data protection should be built into the data itself in order to power the digital customer experience, anti-financial crime defences, and reduce cost.

From Bricks to Clicks: Build the Digital Bank of the Future in the Privacy Age

Protecting the increasing use International Unicode characters is required by a growing number of Privacy Laws in many countries and general Privacy Concerns with private data. Current approaches to protect International Unicode characters will increase the size and change the data formats. This will break many applications and slow down business operations. The current approach is also randomly returning data in new and unexpected languages. New approach with significantly higher performance and a memory footprint can be customizable and fit on small IoT devices.
Unicode is an information technology standard for the consistent encoding, representation, and handling of text expressed in most of the world's writing systems. Unicode can be implemented by different character encodings. The Unicode standard defines Unicode Transformation Formats (UTF) UTF-8, UTF-16, and UTF-32, and several other encodings. UTF-8, the dominant encoding on the World Wide Web (used in over 95% of websites as of 2020, and up to 100% for some languages) and on most Unix-like operating systems.
We will discuss new approaches to achieve portability, security, performance, small memory footprint and language preservation for privacy protecting of Unicode data. These new approaches provides granular protection for all Unicode languages and customizable alphabets and byte length preserving protection of privacy protected characters.

New Privacy Technologies for Unicode and International Data Standards

It's your data. Much of it is not sensitive, and therefore can be in the clear. But sensitivity is a spectrum, and some data is more sensitive than others. What if you could combine data protection methods, from masking to tokenization, based on its sensitivity, all within the same data model and all controlled by you? Well now you can. Tune in to our webinar on June 17th and we will showcase Protegrity's latest 8.1 innovations that will change the data protection industry forever.

The Era of Data Protection Method Choice is Finally Here

Privacy Regulations continue to increase at an aggressive rate. Legal and regulatory risks are exploding. By 2023, Gartner predicts that 65 percent of the world’s population will have its personal data covered under modern privacy regulations, up 10 percent from 2020. As cyber-attackers continue to develop increasingly sophisticated hacking methods, it is imperative for organizations to prioritize modernizing their data privacy standards and tools. General Data Protection Regulation (GDPR) and California Consumer Privacy Act (CCPA) are at the center of this convergence and defining covered Personally Identifiable Information (PII) and Personal Information (PI).  What are typical Use Cases for cross border data transfer and protection of PII and PI? What role does technologies play in compliance? Join our talk, as we discuss:
 
-  Fine-grained data-protection methods and how to reduce risk and achieve compliance without slowing down mission-critical data analytics and AI/ML initiatives. 
- Trends in Privacy Regulations and how evolving International Privacy Regulations are converging around core data privacy principles and standards.
- International Privacy Standards and how to deploy Data protection techniques on-premises and hybrid cloud environments.
- Use cases for Protection of data in AWS, Google Cloud and Microsoft Azure.
- Cloud Security Gateway (CASB) protect sensitive data in Cloud and best practices for Encryption Key management and Policy Management.
- GDPR Security Requirements Frameworks and Data flow mapping under GDPR and discuss Security by Design.
- How companies handles cross border data transfer between different jurisdictions.
 
Data must move without hindrance through an enterprise’s many cloud-based databases and applications. Businesses need the cloud to place workloads in development containers.

Evolving International Privacy Regulations and Cross Border Data Transfer​

Digital Transformation and the opportunities to use data in Analytics and Machine Learning are growing exponentially, but so too are the business and financial risks in Data Privacy. The increasing number of privacy incidents and data breaches are destroying brands and customer trust, and we will discuss how business prioritization can be benefit from a finance-based data risk assessment (FinDRA). 

More than 60 countries have introduced privacy laws and by 2023, 65% of the world’s population will have its personal information covered under modern privacy regulations. We will discuss use cases in financial services that are finding a balance between new technology impact, regulatory compliance, and commercial business opportunity. Several privacy-preserving and privacy-enhanced techniques can provide practical security for data in use and data sharing, but none universally cover all use cases.  We will discuss what tools can we use mitigate business risks caused by security threats, data residency and privacy issues. We will discuss how technologies like pseudonymization, anonymization, tokenization, encryption, masking and privacy preservation in analytics and business intelligence are used in Analytics and Machine Learning.

Organizations are increasingly concerned about data security in processing personal information in external environments, such as the cloud; and information sharing. Data is spreading across hybrid IT infrastructure on-premises and multi-cloud services and we will discuss how to enforce consistent and holistic data security and privacy policies. Increasing numbers of data security, privacy and identity access management products are in use, but they do not integrate, do not share common policies, and we will discuss use cases in financial services of different techniques to protect and manage data security and privacy.

Safeguarding Customer and Financial Data in Analytics and Machine Learning

Descubra a inteligência artificial na proteção e privacidade de dados

AI Talk: Proteção de dados e privacidade

Proteção de dados

dados privados

inteligência artificial

datos

Protegrity

Data Privacy

Artificial Intelligence

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AI Talk: Proteção de dados e privacidade

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