Name: Learn about mathematical modeling of zero trust and confidential computing
Start: 2023-08-01T10:00:00Z
End: 2023-08-01T10:00:21.000Z
Location: BrightTALK
Rating: 4

The Enterprise Architecture channel  presents the next generation of Enterprise IT: recognizing the strategic importance of digital transformation and the data center to make companies more nimble and competitive. These presentations will help demanding IT and BizOps professionals achieve flexibility, scalability and performance with reduced risk and complexity.

In today’s evolving IT landscape, selecting the right storage architecture is critical for optimal performance, scalability, data governance, and cost-efficiency. Furthermore, AI workloads have uniquely influenced how we meet these demands from our storage infrastructure. This webinar provides a technical deep dive into three fundamental storage deployment models – on-premises, cloud, and hybrid – examining their architectures and operational trade-offs through the lens of two key concepts: indirection (accessing data through mapping layers that provide flexibility and abstraction) and redirection (rerouting data requests to enable failover, load balancing, and optimized performance). 

We are going to take some of the key stages of AI lifecycle development as sample use-cases (such as data ingestion, preparation, training, inferencing, and retrieval) and compare how each storage model can serve these use-cases across varying access patterns, data volumes, and performance requirements.

Attendees will gain a practical framework for aligning AI workloads with the most suitable storage architecture, balancing cost, scalability, and latency. Whether you are building AI infrastructure from scratch or optimizing existing deployments, this session will help you make informed decisions for AI-ready storage.

Learning Objectives and Key Takeaways:

• Introduction to the 3 different types of storage deployment models – on-prem, cloud, and hybrid
• Trade-offs for each deployment model
• Importance of indirection and redirection
• Understand how AI-specific data types and access patterns (e.g., embeddings, checkpointing) influence storage performance and design
• Evaluate trade-offs in latency, scalability, security, and cost when choosing storage for different stages of the AI pipeline
• Gain a decision-making framework for selecting the right storage model based on workload characteristics and infrastructure goals

AI Meets Storage: Comparing On-Prem, Cloud, and Hybrid Architectures Across the AI Lifecycle

As AI workloads continue to scale, the physical infrastructure supporting them must evolve to deliver the performance, reliability, and efficiency required by modern data-intensive applications. This webinar will focus on the interconnect foundations of AI infrastructure, including storage. There will be an emphasis on the form factors, connectors, cables, and transceivers standards that enable scalable and interoperable systems.

We’ll explore how SNIA’s SFF Technical Work Group is contributing to the development of physical layer standards that support high-performance interconnects and storage devices used in AI environments. Topics will include the importance of transceiver innovation and the need to evolve; the role that form factors like EDSFF play; and how innovative cabling and connector designs support the adoption of high-speed signaling technologies like PCIe 8.0 and beyond.

This session is ideal for architects, engineers, and technologists who want to understand how physical infrastructure standards are enabling the next generation of AI systems.

Key Concepts:
• Transceiver development for out-of-box signaling 
• Connectors and cables for high-speed inbox signaling
• Copper vs. optical and the challenges of both
• SSD form factor innovations and their impact on density and thermal design

Accelerating AI Infrastructure: The Role of 400G and PCIe 8.0 in Next-Gen Interconnects

Storage security changes and adaptations are a fact of life to deal with the ever-changing threat and regulatory landscapes. A black swan event, a new standard, or a regulation often serves as a catalyst for organizations to review their controls and practices. The recent publication of NIST Special Publication 800-88 Rev. 2, Guidelines for Media Sanitization, is drawing attention to storage security, but it is not the only development worth noting. SNIA, Open Compute Project (OCP), Trusted Computing Group (TCG), and IEEE are developing or have developed standards and specifications that could be important going forward. One central theme underlying several of the activities is in storage sanitization (i.e., controlled eradication of data).

This session brings together a unique panel of experts who have served as editors of some of the most important storage sanitization standards. These experts also have broad knowledge of storage security. As a panel, they will provide insight into these new developments as well as observations on what organizations are experiencing. A moderator will engage the panel with thought-provoking questions, but participants are also encouraged to bring their own questions.

Join us to understand: 
• Changes to storage sanitization and what that means to organizations
• Primary drivers for storage security
• Difference between Storage Sanitization and Data Sanitization
• Interplay and interdependencies for storage security standards/specifications

The Storage Security Shake-Up: Adapt Now or Get Left Behind

Magnetic RAM, Resistive RAM, Ferroelectric RAM, and other new memory technologies have been pushed to the forefront by issues with Moore’s Law scaling, but the ancillary benefits they bring to computing will provide significantly more important longer-term benefits.  In this session, analysts Jim Handy and Tom Coughlin will explain how these new nonvolatile technologies will help accelerate and cost-reduce inference through compute-in-memory engines while standard computing will also see lower costs and higher performance by bringing inexpensive persistence closer to, and even within the processor chip itself.  The session will also address ways that new frameworks like CXL will help provide persistence-friendly structures at all levels of the computing hierarchy.

How New Memories Will Accelerate Both Inference and General-Purpose Compute

Smarter data management is the key to unlocking the full potential of next-generation data infrastructure for AI. This webinar explores how the SNIA Cloud Data Management Interface (CDMI™) standard enables government labs, HPC centers, and organizations leveraging the power of AI/ML to reimagine and innovate their infrastructure to meet next-generation data management demands. CDMI is a mature ISO standard (ISO/IEC: 17826:2022) with over 15 years of development and implementation, and is purpose-built for cloud data management. CDMI's extensive capabilities enhance key aspects of AI operations by transforming data management challenges into streamlined, intelligent workflows. 

CDMI 3.0 (in development now) will further extend the standard with:
• Automated resource discovery that accelerates AI workload efficiency
• Portable data movement that enables preservation of metadata fidelity during migrations, including graph relationships and knowledge graph
• MCP-based data management that enhances AI accuracy while improving access speed

Building on a proven, standards-based foundation, CDMI enables true machine-readable data management. CDMI 3.0 will further improve how teams discover resources, orchestrate AI agents, and protect data across complex cloud environments while establishing the infrastructure for automated, self-describing data ecosystems with full auditability that drive future innovation. 

Read the SNIA CDMI 3.0 white paper https://www.snia.org/educational-library/introduction-cloud-data-management-interface-cdmitm-30-2025

Intelligent Data Management: Shaping the Future for AI Workloads

Join us for an insightful webinar and demonstration as we explore the foundational process of training machine learning models, with a special focus on computer vision applications. This session will guide participants through the essential stages of model development—from data preparation to algorithm selection—highlighting how these steps influence performance and accuracy.
Through practical demonstrations and conceptual discussions, attendees will gain a deeper understanding of how vision models are built and validated, and how these techniques can be extended to broader predictive analytics. We’ll also examine common challenges and share strategies to overcome them, emphasizing the value of simplicity, modular design, and thoughtful evaluation.

Key Takeaways:
• Core steps in the model training lifecycle
• Why data quality is critical to success
• Understanding inferencing and metrics for model validation
• Shifting from engineering mindset to modeling intuition
• Avoiding common pitfalls in training workflows
• Embracing parsimony and modularity in design
• Using checkpoints to monitor and refine progress

From Data to Decisions: Understanding How AI Models Learn

Storage networking consumers are fully aware of the classic benefits of Fibre Channel as a dedicated storage networking solution that provides reliable and lossless data transfer as well as high availability and redundancy.  What is less known is that Fibre Channel supports several Upper Layer Protocols (ULPs) including SCSI, FICON, NVMe, Avionics and RDMA. In this webinar, we explore the FC-4 layer of the Fibre Channel architecture that provides the services used by the various ULPs deployed in Fibre Channel products. Join us for an exploration into:

• The history of Fibre Channel’s versatility 
• Fibre Channel architectural layers
• Overview of the current FC-4 transports: FCP, FC-SB, FC-NVMe, FC-RDMA

Attendees of the webinar will become well versed in the scope and capabilities of Fibre Channel and develop a well-rounded understanding of the technology.

Versatility of Fibre Channel: Multi-Protocol Magic

Edge computing is transforming AI deployment by processing data locally rather than in distant cloud data centers. This session explores how distributed intelligence enables both sustainability and capabilities that centralized architectures cannot provide.

Through two contrasting deployments—precision agriculture in resource-constrained environments and real-time manufacturing optimization in advanced facilities—we demonstrate how edge computing addresses fundamentally different challenges using the same architectural principles. Both achieve 50-70% energy reduction with compelling ROI, while solving problems where cloud computing fails due to latency, connectivity, bandwidth, or data sovereignty requirements.

Beyond the case studies, attendees learn decision frameworks for edge versus cloud architecture, strategies for deploying AI in environments with limited infrastructure, and how to build business cases that balance sustainability goals with operational performance. The session provides actionable guidance for organizations seeking to scale AI deployments while reducing their environmental footprint and enabling new capabilities.

Edge AI from Farm to Factory: Building Sustainable Intelligence across the world

On-premises enterprise data centers have been in decline since the creation of co-lo’s and the cloud, but a new age is emerging with the advent of AI. While most AI is served by the mega data centers mushrooming in “data corridors”, some applications require the low latency response times that edge computing was designed to provide. The industry readily builds large numbers of small processing centers at the edge to serve things like 5G cell service. But constructing AI data centers close to every high demand user is financially impractical and subject to local restrictions due to their enormous demands on power and water.

Tune into this session presented by industry thought leader Bob McFarlane to learn how reviving enterprise data centers as edge facilities may be the answer to acquiring virtually instant response times. Despite significantly greater power and cooling demands, they are unlikely to reach the levels that concern local citizens, enabling them to be renovated or built where necessary without pushback. Companies with significant AI demands may need to start planning and budgeting for high capacity, high reliability infrastructures with costs and staffing beyond anything they have previously experienced.

Learning Objectives:
- Understand the key elements of Edge Computing, and how they relate to AI applications.
- Learn the limitations AI services providers confront in constructing edge facilities.
- Learn to identify AI applications that require the fast response times of the “edge”.
- Prepare for the challenges your organization may face in utilizing AI in critical applications.

Will Enterprise Data Centers Become ‘The Edge’ for AI?”

This webinar will explain the process of model inferencing and deployment options. We will discuss how trained models are used to make predictions and the considerations for deploying models. Attendees will understand the challenges and strategies for optimizing model performance, covering:
 
• What is model inferencing  
• Model inferencing process 
• How inferencing deployment differs in Gen AI and visual inspection
         - Inferencing deployment software options 
          - Inferencing hardware considerations (e.g., on the edge, on-prem, etc.)
• Deploying AI models for production best practices and lessons learned 
• Strategies for maintaining model performance post-deployment

AI Model Inferencing and Deployment Options

As breakthrough technologies like AI mature, they inevitably evolve from centralized to decentralized architectures. With global edge computing spending projected to reach $378 billion by 2028, organizations that continue relying solely on centralized AI risk falling behind in both efficiency and performance. The pervasive waste and expense of centralized generative AI models have underscored the urgent need for intelligence at the edge.

While edge computing concepts have existed since the 1990s with content delivery networks, today's businesses face the complex challenge of transforming their architectures to process data closer to its source. This session explores how leading organizations are navigating this transition, reducing latency and costs while competing with decades of established centralized cloud infrastructure.

Join Alan Morrison (Advanced Data Technologies Consultant and Writer) to discover how decentralized AI and edge computing are revolutionizing data processing across industries.

Key Takeaways:

- Understand why centralized AI approaches are becoming unsustainable and how edge computing addresses these limitations
- Learn practical strategies for implementing edge intelligence from organizations already succeeding with this approach
- Discover the economic benefits of processing data at the edge versus transmitting everything to centralized systems
- Gain insights into market growth projections and how to position your infrastructure investments accordingly
- Identify the architectural transformation challenges of edge computing and how to overcome them

Decentralized AI: The Future of Edge Computing

Today’s enterprise workflows don’t live in one place — they move across edge devices, cloud infrastructure, and on-prem systems in milliseconds. Some start at the edge — like sensor data or customer interactions — while others finish there, after running through cloud analytics or AI inference. The result is a constantly shifting architectural boundary where speed, security, and compliance collide.

This session looks at how to design cross-architectural workflows that maintain consistency, security, and data integrity from end to end. We’ll unpack how different architecture types — edge-native, hybrid, and multi-cloud — impact data handling, governance, and latency. And we’ll dive into the new layer of complexity AI introduces: model hallucinations, prompt injections, and evolving regulatory constraints when sensitive customer data moves from edge to cloud.

Join Eugina Jordan, CEO of YOUnifiedAI, as she breaks down how to architect distributed systems that are both intelligent and compliant — not in theory, but in practice.

Key takeaways:

- Understand how modern workflows traverse edge, cloud, and on-prem environments — and where control points break down
- Design architectures that protect customer data and maintain compliance even when processing happens across geographies
- Implement AI workflows that minimize hallucination risks and prevent prompt-injection attacks at the edge
- Balance performance with governance — using architecture, not just policy, to enforce trust
- Build an operational model that lets security, data, and AI teams collaborate on a single distributed workflow

Building Secure AI Workflows Across Edge, Cloud & AI Without Breaking Trust

Information systems vary in their primary roles and objectives. Real-time information systems, in particular, impose strict deadlines for generating control responses, as delays in data generation, processing, or transfer may lead to critical failures. For such systems, ensuring proper transactions depends not only on their logical correctness but also on their ability to operate within the required time constraints—as excessive latency renders them ineffective.

Timely data processing is essential for data intelligence, influencing the methods and tools used for classifying and integrating real-time information. Achieving low-latency solutions requires leveraging local resources instead of relying solely on centralized servers or cloud infrastructure. This shift brings computing closer to the network's physical endpoints, introducing the edge computing paradigm. Expanding the network edge extends computational and data processing capabilities to the point of data generation, reducing cloud dependency while enhancing real-time analytics, security, and efficiency.

Discover the key technologies driving edge expansion, including edge computing, cloud-edge advanced communication protocols, and AI-driven edge networks, and gain expert insights into the future of edge computing.

Discover Technologies Driving the New Network Edge

In today’s data-driven world, ensuring the resilience of your storage systems is critical for long-term success. This vendor-neutral webinar, hosted by the STA, will bring together industry experts to explore proven methodologies for testing the robustness of Serial Attached SCSI (SAS) and other data storage infrastructures. Craig Foster (Teledyne LeCroy) and Paul Coddington (Amphenol) will discuss practical approaches and the latest standards that enable secure, reliable, and high-performance storage systems. Rick Kutcipal (Broadcom) will moderate the Q&A and offer other perspectives. Join us to gain insights on ensuring your storage solutions meet the demands of modern workloads and prevent costly data loss or downtime.

Key Takeaways:

- Understand the key factors impacting the robustness of Serial Attached SCSI (SAS) and other data storage systems.
- Learn about the latest testing methodologies and standards in SAS and storage infrastructures.
- Discover how vendor-neutral best practices can enhance the security and reliability of SAS-based storage.

Reduce Your Risk of Data Loss! "Critical Testing Insights for Developers"

In the midst of rapidly advancing technological progress, the rise of digitization and remote work has become a prevailing trend. As a result, critical infrastructures are increasingly susceptible to new risks, continually expanding the realm of cybersecurity threats and attack methods. 

Consequently, organizations are more inclined to entertain the notion of paying ransoms to threat actors. It is imperative for organizations to remain vigilant against these emerging threats to safeguard their systems. The recent proliferation of artificial intelligence (AI) technology has given rise to AI-powered cyber-attacks, which are experiencing exponential growth. This development has facilitated cybercriminals in creating sophisticated and innovative malware embedded with new zero-day vulnerabilities. 

AI-powered cyber-attacks leverage machine learning to adapt to evolving defenses and devise novel methods to circumvent them, all while remaining undetected. This enables them to establish an illicit, enduring presence within networks for the purpose of extracting highly sensitive data. 

In order to effectively counter advanced cyber-attacks, organizations must adopt a comprehensive approach and incorporate zero trust principles into their architecture. This involves: 
- Treating every device, node, or entity as a potential threat point. 
- Implementing explicit identification, authentication, and authorization measures. 
- Embracing a default deny model as opposed to a default access model. 
- Developing proactive incident response plans. 
- Providing cybersecurity best practices training for employees. 
- Deploying AI-powered cybersecurity solutions. 

We invite you to engage in thoughtful discourse on these topics, cultivating a clear understanding and exploring strategies for integrating zero trust into your scalable enterprise architecture.

Integrating Zero Trust in a Scalable Enterprise Architecture

This webinar will provide a foundational understanding of Artificial Intelligence (AI) and Machine Learning (ML). We will explore the basic concepts, history, and applications of AI/ML, setting the stage for more advanced topics in subsequent webinars. Attendees will gain insights into how AI/ML technologies are transforming industries and everyday life and have the opportunity to see one of the earliest AI experiments: Training a neural network to recognize written letters.
 
Key Concepts:
• Definition and History of AI and ML
• Differences Between AI, ML, and Deep Learning
• Real-World Applications of AI/ML
• Basic Terminology and Concepts

Introduction to AI and Machine Learning

In this webinar, we’ll introduce the PCI Express (PCIe) interface which is an essential component of AI systems due to its ability to provide high bandwidth and low latency over short distances. We’ll introduce the basics, then discuss the evolution, requirements and benefits. We’ll cover features in PCIe Gen6 including bandwidth, AER (Advanced Error Reporting), DPC (Downstream Port Containment), different modes and signaling techniques. We will also cover PCIe switching and its applications for AI. Join us for an insightful discussion on:
- What is PCIe and why it matters? 
- Discovery/Enumeration and Hot-plugging 
- NTB (Non-Transparent Bridging) applications and uses
- Shared credit/received buffer
- Selective NAK vs. Standard NAK for Flits replay
- PCIe Gen6 Enhancements
- PCIe Switch and applications for AI

Everything You Wanted to Know About PCIe But Were Too Proud to Ask

5G is among the more hyped technologies these days, but where is it actually useful? In this session, WLAN architect Lee Badman will cover how he sees:

- Where 5G has applicability.
- Where it really doesn’t.
- Why neither Wi-Fi nor 5G will ever “win” despite marketing attempts at pitting them against each other.

A Wi-Fi expert contemplates 5G use cases

Limited cybersecurity talent and budgets are making it increasingly difficult for organisations to recover from attacks. As a result, organisations face longer recovery times and extended downtime, which in turn has a huge financial impact on businesses. Hear from your peers and industry experts on some of the new data security trends and strategies that are helping them shorten recovery time and minimise the financial impact of ransomware and other cyber attacks.

During this session you will learn:
-> Key benefit drivers for the Microsoft 365 platform and overall movement to Azure in the era of mobile workforces
-> Perspective on the trend of global institutions migrating to Microsoft 365, and the importance of protecting mission-critical Microsoft 365 data
-> Current threat landscape and cyber security challenges with Microsoft 365
-> Solutions to protect Microsoft 365 data that provides organisations with additional resiliency and recoverability of data

Get a Head Start in the Race Against Ransomware

A comprehensive zero trust approach to securing your unmanaged devices

Unmanaged IoT, IoMT & OT devices make up more than 30% of all the connected devices on your organization’s network and are springboards for 25% of the cyber attacks targeting your organization. These devices often ship with vulnerabilities, run unsupported operating systems, and lack encryption, posing a huge security risk to organizations. But stopping threats and achieving Zero Trust security for IoT/ OT devices need not be complex or daunting. 

This session shares a set of best practices to help you protect your organization’s connected IoT/OT devices.

Key takeaways:

-What are the security risks introduced by increased connectivity?
-Why is it so challenging to secure unmanaged devices, and why do traditional network security approaches fail?
-How to implement a Zero Trust approach to securing IoT/OT devices?

IoT/OT Security: Secure Every Connected “Thing” from Edge to Enterprise

The pace of digital transformation is placing even greater stress on the traditional network. Our IT networks were designed in the 90s to funnel data to a single data center.  In 2023, these very same networks are now the core backbone for connecting to “centers of data” in just about every corner of our globe.

In this featured webinar, Aruba Networks, a Hewlett Packard Company and Zunesis, a platinum Aruba Networks partner will talk about SASE – what it is and why it’s a game changer for your organization. HPE Aruba Networking recently acquired Axis which delivers everything an enterprise needs to carefully safeguard and deliver key business applications without the complexity.

We will cover:
* Why traditional network and security approaches don’t work
* Who is Axis and how they can help your organization?
* Why a Unified SASE solution is needed? What are the benefits?
* Where to start your SASE adoption? 
Plus … detailed research on these topics.

Presented by
Jaye Tillson, Director of Strategy (Field CTO), Axis Security – An HPE/Aruba Networks Company

A Journey to Unified SASE

Even in this era of remote work, Infrastructure as a Service (IaaS), and solutions like Secure Service Edge (SSE) and Secure Access Service Edge (SASE), believe it or not, we still need firewalls. In this webinar, Evgeniy Kharam, cybersecurity architect and advisor, will walk you through the ins and outs of firewalls – their history, evolution, and undying relevance. Starting from the very beginning, he’ll guide you through how firewalls have grown from simple shields to complex security systems. Explore the various types of firewalls that businesses are currently employing, be they large corporations, B2B entities, or organizations deeply embedded in cloud technology. 

You’ll emphasize Next-Generation Firewalls (NGFWs), focusing on their critical role in protecting our digital spaces, especially as more and more of us shift to working from home. Despite the rising prominence of security solutions like SASE and SSE, Evgeniy will explain why firewalls continue to be a vital part of our defense mechanism against cyber threats. Finally, you’ll look ahead at what the future might hold for firewalls amidst rapidly advancing technology. 

Join industry thought leader and podcaster Evgeniy Kharam to understand why firewalls, the old cybersecurity guards, still hold their ground in today's dynamic digital landscape.

Firewalls: Why they matter and where they fit in the cloud era

SASE is generating tremendous hype, steep expectations, and confusion. Ideally, SASE promises to deliver benefits such as consistent protection, reduced complexity, and scalability. But modern enterprise networks are a maze of complexity including distributed networks, specialized systems, legacy infrastructure, public and private cloud, and dozens of security tools from multiple vendors. While enterprise buyers require a common visibility and policy framework, how can they approach the SASE transformation in a way that best aligns with their security requirements and business goals?

In this presentation, we will play a recorded video with IDC analyst and Cloudflare Subject Matter Expert to explore the SASE concept and examine strategies to help IT buyers navigate the SASE journey. A live Q&A will be hosted at the end of presentation to answer all your questions about SASE.

Demystifying SASE for CIOs and tech leaders: Solutions & strategies

For your business to effectively support technologies like IoT and multi-cloud environments, your security strategy needs to be your priority #1. The rise of ransomware, phishing attacks, and new data privacy laws means enforcing security across your network has never been more important, especially in the era of permanent hybrid work. 

That’s where Zero Trust Network Access (ZTNA) 2.0 comes in. Current ZTNA solutions fall short of what you need for today’s hybrid workforces. Luckily ZTNA 2.0 provides the remedy your organization needs. 

Join us in this webinar from the Secure Network Infrastructure Summit where you will learn about: 

* Why current ZTNA solutions fail to deliver on their promise 
* Zero Trust vs. Zero Trust Network Access: What’s the difference? 
* Why is there a need for a new ZTNA approach? 
* How to start your ZTNA 2.0 adoption

The Need for ZTNA 2.0 and Why Your Current Solution Falls Short

As the security landscape grows increasingly complex and challenging, traditional perimeter-style security architecture needs to be reassessed. The lines between trusted and untrusted entities have blurred, and cyber criminals are taking advantage of the confusion, infiltrating and moving through the network as trusted users. By assuming that nothing is trusted inside or outside the perimeter, Zero Trust Architecture (ZTA) aims to dynamically verify all access to system resources as agencies and companies modernize their cybersecurity.

Join our discussion to discover the power of adopting a crawl, walk, run approach to Zero Trust and unleash the true potential of your existing cybersecurity investments, by:
1. A Path to Cybersecurity with Zero Trust Architecture: Assess cybersecurity posture, leverage existing investments, and enhance foundational components like data loss prevention to strengthen your ZTA strategy.
2. The Who, What, When, Where, and How of Zero Trust: Attain continuous visibility and risk assessment across endpoints, networks, users, and cloud assets. Identify coverage gaps, ensure compliance, and enable effective risk management.
3. Learning and Adapting to Evolving Threats: Harness advanced threat intelligence, anomaly detection, deception technologies, and machine learning. Use dynamic insights from network, cloud, and endpoint metadata empower real-time threat detection, hunting, and response
4. Think Like an Adversary: Assume breaches occur and gather necessary data within a ZTA framework. Utilize automated alerts, policy-based remediation's, and proactive threat detection to counteract malicious activities.

By adopting a crawl, walk, run approach to ZTA, organizations can build upon a solid technical foundation, best leverage their cybersecurity investments for securing data, networks, and boundaries while providing visibility into traffic, particularly for hybrid and multi-cloud communications in the ever-evolving cybersecurity landscape.

Fortifying Your Defenses: A Crawl, Walk, Run Approach to Zero Trust

As cybersecurity evolves, organizations must adapt to the ever-changing threat landscape to protect their critical assets. In this webinar, we will delve into two emerging paradigms in cybersecurity: SASE (secure access service edge) and zero trust architecture. SASE represents a transformational approach to network security that consolidates networking and security functions. It aims to provide secure access to applications and resources, regardless of the user's location, while reducing management complexity. On the other hand, zero trust architecture challenges the traditional security perimeter by assuming that no user or device can be trusted by default, requiring continuous verification and authentication to all resources. It shifts the focus from perimeter-based security to a more granular and dynamic approach, minimizing the attack surface while preventing lateral network movement. 

In this webinar, we will provide insights on the fundamentals, benefits, and implementation considerations of SASE and zero trust architectures. Join us to learn how these two paradigms can work in tandem to provide a robust and comprehensive security strategy for your organization.

SASE and zero trust architecture: Complementing or competing?

How AI is Transforming Network Security and User Experience

Zero Trust Architecture (ZTA) has many attractive attributes, but it is not as easy to implement as its enthusiasts would like.  ZTA is based on certain expectations regarding users and data that many enterprises find difficult to achieve. The problems include poor coordination with business needs, over-authorization and poor controls over identity management, data management and applications. This session explores these issues and recommends strategies for countering the impediments.

Tune in to this webinar to learn:
- Which factors stand in the way of effective implementation of Zero Trust Architecture.
- How to map ZTA to the business needs of the organization.
- Methods for gaining sufficient control of identities, data and applications to support ZTA.
- Strategies for implementing ZTA that can counter the impediments.

Addressing the impediments to zero trust architecture implementation

As organisations use more cloud workloads and seek to protect data across diverse environments, it gets increasingly complex to secure all your data and applications from cyber threats. Learn how you can easily protect, monitor, and recover all your cloud and SaaS workloads on a single platform.

Watch this to learn:
-> Why attackers (still) slip through the cracks of hybrid, multi-cloud and SaaS environments
-> How American Family Insurance protects their data across multiple cloud environments
-> Ways that you can achieve cyber resilience across your cloud environemnts,  IaaS, PaaS, and SaaS

Special guest appearance by Nate Brooks, Technology Services Manager, American Family Insurance talking about the challenges and opportunities organisations have when embarking on a multiple cloud environments journey.

Other speakers include: 
Bill Gurling, Technology GTM Manager at Rubrik
Shubhankar Chatterjee, Sr. Director, Product Management at Rubrik

A Zero Trust Approach To Securing Hybrid, Multi-Cloud, and SaaS Data

Cybercriminals are at the top of their game, with 98 percent of organizations saying they suffered some kind of attack in the last year. Zero Trust principles are a great way to defend your data, but what does proper implementation look like? How can you make sure you’re using Zero Trust effectively?

John Kindervag, the creator of the Zero Trust Model of Cybersecurity, will give you the answers in this highly anticipated talk, where you'll learn:

-> How zero trust has evolved over the years
-> The latest advancements in zero trust
-> New ways to start implementing zero trust principles 

Make sure to take a look at the attachments as well - we've added extra learnings on how to optimise data protection and provided you with additional resources to help set you up for success.

Zero Trust is Evolving: Learn Why Zero Trust is a Must For Cyber Resilience

The world has changed drastically in the past few years and so should the way we should think and prepare our companies against cybersecurity threats. Cloudflare have found that some of the most innovative applications of Zero Trust and SASE have come from Digital Native Businesses. Traditional organizations are increasingly learning from ‘disruptors’
In this session David Barnett, head of the SASE team in EMEA, will explore the benefits of cultivating a Digital native mindset to have a successful implementation of SASE and Zero Trust strategies. Dave will talk about success stories both in Digital Native and traditional businesses.

Is a digitally native mindset the key to successful cybersecurity protection?

SASE is generating tremendous hype, steep expectations, and confusion. Ideally, SASE promises to deliver benefits such as consistent protection, reduced complexity, and scalability. But modern enterprise networks are a maze of complexity including distributed networks, specialized systems, legacy infrastructure, public and private cloud, and dozens of security tools from multiple vendors. While enterprise buyers require a common visibility and policy framework, how can they approach the SASE transformation in a way that best aligns with their security requirements and business goals?

In this presentation, we will play a recorded video with IDC analyst and Cloudflare Subject Matter Expert to explore the SASE concept and examine strategies to help IT buyers navigate the SASE journey. A live Q&A will be hosted at the end of presentation to answer all your questions about SASE.

Presenters:
Chris Rodriguez Research Manager, Network Security Products and Strategies IDC
Ameet Naik Senior Product Marketing Manager Cloudflare

Demystifying SASE for CIOs & tech leaders: Solutions & strategies

Secure Network Infrastructure

Computer networks and infrastructures are constantly subject to cyber-attacks, so organizations must continuously strengthen the cyber defense of their assets. In this context, adopting zero trust along the appropriate approaches are the only acceptable solutions to achieve perimeterless information security and data privacy.

The concept of zero trust is based on the following factors:
- Strict identity verification for external and internal users or devices trying to access a resource, without exception.
- Multifactor authentication.
- Authorization.
- Ensuring the physical/logical integrity of digital assets and data.

Having the Cyber-Resilience Act in hand, plenty of compliant technological solutions are being introduced and implemented within tamper-proof devices and secure enclaves. The methodology behind these solutions is enforced and is being permanently developed by advances in secure and trusty computations.

This webinar is devoted to a conceptual introduction to mathematical modeling of zero trust and confidential computing.

Learn about mathematical modeling of zero trust and confidential computing

zero trust

computing

Network Infrastructure

Network Security

Cyber Resilience

Cyber Attacks

Cyber Crime

Cyber Defence

Authorization

Welcome to the virtualization community on BrightTALK! Whether it affects servers, storage, networks, desktops or other parts of the data center, virtualization provides real benefits by reducing the resources needed for your
infrastructure and creating software-defined data center components. However, it can also complicate your infrastructure. Join this active community to learn best
practices for avoiding virtual machine sprawl and other common virtualization pitfalls as well as how you can make the most of your virtualization environment.

Virtualization

Cloud computing has exploded over the past few years, delivering a previously unimagined level of workplace mobility and flexibility. The cloud computing community on BrightTALK is made up of thousands of engaged professionals learning from the latest cloud computing research and resources. Join the community to expand your cloud computing knowledge and have your questions answered in live sessions with industry experts and vendor representatives.

Cloud Computing

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Learn about mathematical modeling of zero trust and confidential computing

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Enterprise Architecture