BitSight CTO Stephen Boyer will moderate a discussion with security and risk leaders as they discuss current challenges and emerging issues in enterprise cloud security.

« show less

« show less

With more and more limited resources and increasing demand for more functionality in the cloud, companies are struggling to find the expertise they need. Come and hear Chief Product Officer, Josh Prewitt from Rackspace Technology and Chief Technology Officer, Andrew Lippert from McGraw Hill Education chat about how to engage additional resources on key projects to ensure they are done on time and within budget.

« show less

« show less

« show less

« show less

The ability to use your data safely and ethically in the cloud can transform your business, and your fortunes in 2022. Cloud transformation projects aspire to serve high-utility data to those who need it, at the right time, while managing risks and demonstrating compliance. How can you achieve this?

This panel will look at:

• Innovations businesses are reaching with sensitive data
• The challenges of ever-changing technology and regulation
• The approach organizations should take to provision data safely

« show less

There’s a common cloud computing conundrum most IT and business leaders ask themselves; How much cloud flexibility and choice is enough, and how much is too much? The importance of this issue has been heightened in the last several years with the acceleration of workload migrations to cloud and application modernization. While the answer to this critical business and IT operations question is a bit complicated, in this session, Snow Software will talk about how you can successfully answer it by taking an informed, strategic and balanced approach.

« show less

« show less

« show less

Almost half (49%) of the world’s stored data could reside in public cloud environments by 2025. 1 Within every industry, IT tech leaders and C-level executives are positioned to influence their organization’s digital transformation, which needs to leverage exponential data growth and solve data gravity’s impact on hybrid IT infrastructure.

The acceleration of digital transformation comes with heightened urgency to address the intensifying presence of data found in the digital economy. Already by next year, in 2022, more than 50% of enterprise data will be created outside the data center or cloud. 1 This rapidly increasing intensity of data gravity, across all industries, underpins the necessary shift to a data-centric hybrid IT architecture and capabilities. As applications and services move closer to the data, centralized backhaul architectures incur higher costs, complexities and risks. A plan to “pivot and adapt” to a pervasive data-centric hybrid IT architecture that optimizes data exchange, especially as more data gets stored in the cloud, through a connected data community approach has become mission critical.

Enabling connected data communities allows for integration between core, cloud and edge at centers of data exchange, implementing a secure, data centric hybrid IT architecture at global points of presence deployed in multi-tenant datacenters. The result is faster data access and aggregation, secure data near the customer and effectively embedded edge, cloud and core solutions.

In this session, you’ll learn:

• About the rapid growth of data globally and the implications of data gravity intensity
• Why it’s important to re-think hybrid IT architecture with a focus on optimizing data exchange
• How to move the needle on digital transformation and the benefits of a connected data
  community approach
• Strategies designed to yield greater competitive advantages and new growth opportunities

Key Takeaways:

• Learn strategies to overcome the implications of accelerated data growth and data gravity intensity on cloud migration
• Learn how a connected data community approach helps remove legacy barriers across the
  interconnection industry and tackles data gravity head on
• See why data gravity forces a shift to a data-centric architecture, where data is at the center of
  the architecture and integration is the challenge

1 “The Digitization of the World – From Edge to Core,” IDC White Paper, November 2018
2. “How Much Data is Generated in a Day,” World Economic Forum, April 2019

« show less

« show less

« show less

Cyber risk governance defines the guidelines for how the organization manages cyber security. Cyber risk management is the execution of the policies and procedures defined by the Governance team to implement controls, prioritize remediation, and respond to incidents. The two functions often work hand-in-hand, but in some extended businesses, the organizational hierarchy can be rather complex leading to numerous challenges for driving accountability across the business.

Many forward-thinking security leaders have opted to enforce cybersecurity performance standards across their business units, subsidiaries, or geographic teams. But what standard should be used? And how do you manage to this standard in an efficient way?

Join us for this executive roundtable discussion where we will explore the topic of driving accountability with cyber risk governance in more detail.

In this session we will discuss:

• Different options for setting standards, and ideas for implementing
• How Cyber Risk Quantification can be applied to drive accountability
• How to incorporate benchmarking and peer comparisons into your standards

Key takeaways include:

• Ideas for driving accountability across your extended organization
• Tips for utilizing cyber risk quantification as a performance metric
• An introduction to how Security Ratings can play a key role in your governance standards

« show less

« show less

These days it seems no organization or industry is adverse to cyber attacks. From open-source software tools to critical infrastructure, threats are coming in all shapes and sizes. It’s more critical than ever to understand the threats facing your organization from the inside and your vendor ecosystem.

Managing your digital supply chain risk does not have to be a cumbersome process. Firms can look beyond security assessments and questionnaires to ensure that their vendor network is operating securely and efficiently.

During this session, attendees will learn:

• New methods for managing supply chain risk
• What tools are most effective to combat vendor risk
• How to generate key data points to make effective third-party risk decisions

« show less

For over 2000 years, governments, armies, businesses and lovers have been encrypting messages. For the same amount of time, the keys used to perform the encryption have been the weakest link in the chain. After 2000 years, technology has advanced such that the keys can be protected but many companies don’t understand how important it really is. We know that when dealing with new working environments, vulnerability risks and other issues, data protection is essential. Poor or inadequate key management can lead to a data breach more than a weak algorithm, and with the amount of data most businesses need to encrypt today, many keys and many encryption tools may be used. If your organization deals with confidential data – and most industries do – encryption is vital to security but key protection is even more important.

« show less

IT tech leaders within the financial services industry are positioned to influence how their organizations can succeed amidst many digital transformation challenges, such as the explosion of data growth and its implications on legacy IT architecture.

A data-centric IT infrastructure that optimizes data exchange is mission critical. Implementing this strategy will allow financial services firms to defy data gravity, secure data near the customer, enforce data compliance, overcome data infrastructure barriers and ultimately leverage massive data sets as their most strategic asset.
In this presentation by Bill Fenick, Vice President, Enterprise Verticals at Digital Realty, you’ll gain:

• A deeper understanding of why it’s important to re-think your IT architecture
• Expert insights about the industry’s push toward data-driven digital transformation
• Strategies designed to yield greater competitive advantages and new growth opportunities

This session will also feature Digital Realty’s Pervasive Datacenter Architecture (PDx™) Optimizing Financial Services Data Exchange Strategy and Solution models that address industry-specific business challenges for banking, securities, trading & investment banking, wealth management and insurance lines of business.

Key takeaways:

• See why data gravity forces a shift to a data-centric IT architecture, where data is at the center of the architecture and integration is the challenge
• Learn about solutions to overcome the implications of accelerated data growth and increasing data gravity intensity globally
• Understand how our codified strategy and solution approach to data-driven digital transformation – across all channels, business functions and points of business presence – can defy gravity, secure data near the customer, enforce data compliance and achieve AI capabilities

« show less

How do we know our controls are fully protecting us at all times?

That’s the killer question in a ransomware-ridden world where cyber moves towards becoming an uninsurable risk for some.

Measuring, comprehending and attesting to cybersecurity posture is taking over our lives as teams spend more than a 30% of their time on reporting. There are ever more interested stakeholders who demand more detailed, more regular insight into security – execs, audit, insurers, customers, the list grows.

Data quality typically falls short on completeness, timeliness, and accuracy, as teams are drowning in manual workloads and disputes.

« show less

« show less

« show less

« show less

In the ever-evolving world of the data supply chain, you may have experienced one or more of these trends: you depend on more and more data that you can’t control; you need to provide data at the speed of thought; your digital transformation is happening faster than your data infrastructure can keep up. As a data leader, you have pressures all around to do more and faster. But just how fast can you go given the enormous complexity of data, platforms and architectures today?

DataOps is an approach that can tease order out of the accelerating chaos of modern architectures, and reconcile the apparent contradiction of complexity and agility. Continuous design, operation and observability of your data is fundamental to a DataOps approach. Hear from a panel of industry leaders:

• Approaches for keeping pace with the relentless business demand for more data
• Best practices for managing ever more complex data infrastructures
• Viewpoints on how to balance agility with transparency and control

« show less

In order to build the next decade’s competitive advantage, enterprises need to go beyond the early stages of digital transformation and embrace modern use cases characterized by the exponential growth of data and the utilization of real-time analytics to inform business decisions.

This entails not only building new applications or refactoring existing ones as microservices but also moving certain workloads off relational monoliths to the modern data stack. Relational databases are poorly equipped to handle the demands of modern workloads involving either rich customer interactive applications or streaming industrial data.

Unlike relational monoliths, the modern data stack supports microservices oriented development patterns that free business logic from the data layer and place it in the application layer where it rightly belongs. It supports modern APIs that free developers from having to learn database languages before they can become productive. And just like microservices, the modern data stack is distributed and runs on Kubernetes.

Join DataStax as we discuss the requirements of the modern data stack in the world of microservices.

« show less