Name: The Era of Data Protection Method Choice is Finally Here
Start: 2021-06-17T17:00:00Z
End: 2021-06-17T17:00:45.000Z
Location: BrightTALK
Rating: 4

Unleash the power of secure data. Learn how to safeguard privacy, ensure data is protected everywhere, and fuel innovation with secure AI.

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

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​

Descubra a inteligência artificial na proteção e privacidade de dados

AI Talk: Proteção de dados e privacidade

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

In the shadow of the global pandemic and the associated economic downturn, organizations are focused on cost optimization, which often leads to impulsive decisions to deprioritize compliance with all nonrevenue programs. 

Regulators have evolved to adapt with the notable increase in data subject complaints and are getting more serious about organizations that don’t properly protect consumer data. Marriott was hit with a $124 million fine while Equifax agreed to pay a minimum of $575 million for its breach. The US Federal Trade Commission, the US Consumer Financial Protection Bureau (CFPB), and all 50 U.S. states and territories sued over the company’s failure to take “reasonable steps” to secure its sensitive personal data.
 
Privacy and data protection are enforced by a growing number of regulations around the world and people are actively demanding privacy protection — and legislators are reacting. More than 60 countries have introduced privacy laws in response to citizens’ cry for transparency and control. By 2023, 65% of the world’s population will have its personal information covered under modern privacy regulations, up from 10% today, according to Gartner. There is a convergence of data privacy principles, standards and regulations on a common set of fundamental principles.

The opportunities to use data are growing exponentially, but so too are the business and financial risks as the number of data protection and privacy regulations grows internationally.

Join this webinar to learn more about:
- Trends in modern privacy regulations
- The impact on organizations to protect and use sensitive data
- Data privacy principles
- The impact of General Data Protection Regulation (GDPR) and data transfer between US and EU
- The evolving CCPA, the new PCI DSS version 4 and new international data privacy laws or regulations
- Data privacy best practices, use cases and how to control sensitive personal data throughout the data life cycle

New Opportunities & Business Risks with Evolving Privacy Regulations

In this session, we will discuss a range of new emerging technologies for privacy and confidentiality in machine learning and data analytics. We will discuss how to put these technologies to work for databases and other data sources.
When we think about developing AI responsibly, there’s many different activities that we need to think about. 
This session also discusses international standards and emerging privacy-enhanced computation techniques, secure multiparty computation, zero trust, cloud and trusted execution environments. We will discuss the “why, what, and how” of techniques for privacy preserving computing.
We will review how different industries are taking opportunity of these privacy preserving techniques. A retail company used secure multi-party computation to be able to respect user privacy and specific regulations and allow the retailer to gain insights while protecting the organization’s IP. Secure data-sharing is used by a healthcare organization to protect the privacy of individuals and they also store and search on encrypted medical data in cloud.
We will also review the benefits of secure data-sharing for financial institutions including a large bank that wanted to broaden access to its data lake without compromising data privacy but preserving the data’s analytical quality for machine learning purposes.

Protecting Data Privacy in Analytics and Machine Learning

In this session, we will discuss a range of new emerging technologies for privacy and confidentiality in blockchain and analytics. Tokenization on Blockchain is a steady trend. Tokenization is a method that converts a digital value into a digital token. Tokenization can be used as a method that converts rights to an asset into a digital token.

This session discusses industry standards and emerging privacy-enhanced computation techniques, secure multiparty computation, and trusted execution environments. We will review how different industries are taking opportunity of these privacy preserving techniques. We will also review secure data-sharing for financial institutions and discuss implementations that can provide scalability across hybrid cloud models.

Security for blockchain and analytics

Compliance professionals spent 50% of their time on low-value tasks in 2019, according to Thomson Reuters. As these professionals increase the time they spend on high-value tasks, it is worth asking, "what tools make their work even more efficient?" While firms plan to increase budgets, the expenses will increase due to personal liability and education costs. Still, team numbers will not grow, despite a growing workload. How can compliance professionals get more out of their work in less time?

Join this panel to hear about:
-	The effect the right tools can have on your organization
-	Tools & technologies streamlining regulatory compliance processes
-	Best practices for a remote compliance team

Speakers: 
Craig Fetterman,  Head of Solutions Consulting, Jumio (Moderator)
Ulf Mattsson, Chief Security Strategist, Protegrity
Dirk Schrader, Global VP of Product Marketing & Business Development, NNT.
Karnika Yashwant, Chairman & Managing Director, KEY Difference Media

Building Resilience In Remote Compliance Teams

Now, more than ever, people are working remotely. What does that mean for your laptop security on and off the network?

Learn not only how to protect against vulnerabilities but what they mean for your business.
We’ll be with you every step of the way in learning how to:
Protect each asset as an island
Give precedence to vulnerabilities based on risk
Monitor your assets effectively  

This panel is part of National Cyber Security Awareness Month (NCSAM) 2020.

Speakers: 
Mike Weber, Vice President, Coalfire (Moderator)
Josh Harr, Senior Advisory Services Consultant, Rapid7
Ulf Mattsson, Chief Security Strategis, Protegrity
Brandon Hoffman, CISO, Netenrich

How to Improve Remote Worker Security

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

Data Privacy

protegrity

data masking

Cloud API

Tokenization

Cyber Attacks

Cyber Security

Cloud Security

Cyber Defence

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The Era of Data Protection Method Choice is Finally Here

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