Videos Archive - Page 16 of 287

Appearance: Versa Presents at Networking Field Day 37

Company: Versa Networks

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Personnel: Anuj Dutia

The VersaONE Universal SASE platform offers three deployment options

SASE-as-a-Service
Private SASE
Sovereign SASE

providing enterprises and service providers with the flexibility to choose the model that best fits their security, control, and sovereignty requirements. In this session, VP of Global Solutions Strategy Anuj Dutia will explore the differences between these deployment models, and explain the key use cases that Sovereign SASE solves.

Why Versa Sovereign SASE? The Critical Challenges of Security Compliance and Control

Appearance: Versa Presents at Networking Field Day 37

Company: Versa Networks

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Personnel: Kelly Ahuja

As organizations navigate evolving security, compliance, and operational challenges, the need for a more flexible, sovereign approach to SASE has never been greater. In this session, Versa CEO Kelly Ahuja will explore the business drivers behind the need for Sovereign SASE, including data sovereignty requirements across different regions and industries; operational control and business continuity challenges when relying on multi-tenant, cloud-native SASE models; and security limitations of standard cloud-delivered SASE.

The Quantum Reality: Risks, Market Pressures, and Ecosystem Challenges

Company: BT

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Personnel: Andrew Lord

An honest assessment of the current quantum landscape. Andrew Lord examines the risks and uncertainties surrounding quantum technology, including market competition, funding challenges, and technical barriers. Exploring how ecosystems are evolving to support quantum development and what factors could accelerate or slow down progress. Get a balanced view of the quantum state of play and the strategic decisions that lie ahead.

Quantum Progress and Roadmap: How Close Are We?

Company: BT

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Vimeo: Quantum Progress and Roadmap: How Close Are We?
YouTube: Quantum Progress and Roadmap: How Close Are We?

Personnel: Andrew Lord

How close are we to practical quantum computing? Andrew Lord assesses the current state of quantum technology, highlighting recent milestones, and BT’s role in driving innovation. Discussing realistic expectations for the next 10–15 years, including breakthroughs in quantum hardware and software. Gain a clear understanding of where quantum stands today and where it’s heading next.

Quantum Security Overview: The Cryptography Challenge

Company: BT

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Personnel: Andrew Lord

Quantum computing presents a major challenge to traditional cryptography, threatening to break widely used encryption methods. Andrew Lord dives into how quantum computers could undermine current security systems and what’s being done to mitigate the risk. Learn about Post-Quantum Cryptography (PQC) and Quantum Key Distribution (QKD), two critical approaches to safeguarding data in the quantum era. Gain insights into how organisations are preparing for the shift to quantum-resistant security.

Introduction to Quantum Computing and Communications with BT

Company: BT

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Personnel: Andrew Lord

Explore the fascinating world of quantum computing and communications. Andrew Lord introduces the fundamental concepts of quantum mechanics, explaining why quantum technology is poised to be transformational, and explore the potential capabilities of quantum computers. Covering how quantum communications could revolutionise data transfer and security. Discover why the quantum future is closer than you think and how it could reshape industries from finance to healthcare.

It is time for Operations teams to Code or die – Cloud Field Day 22 Delegate Roundtable

Appearance: Cloud Field Day 22 Delegate Roundtable Discussion

Company: Tech Field Day

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Personnel: Alastair Cooke

This Cloud Field Day delegate roundtable grappled with the evolving and often confusing definition of “AI.” The discussion highlighted the blurring lines between artificial intelligence, machine learning (ML), and the recent surge in popularity of generative AI. Panelists noted the marketing tendency to label any automation or intelligent feature as “AI,” leading to a diluted understanding of the underlying technologies. The lack of clear distinctions confused both consumers and businesses, hindering the effective evaluation and application of AI solutions.

A central theme emerged around the distinction between machine learning, which the panelists viewed as a foundational science providing the underlying mathematical framework, and AI as the resulting intelligent application or product. Generative AI, with its flashy interfaces and readily accessible tools like ChatGPT, has further muddied the waters, overshadowing the broader field of AI and its various forms. The panelists agreed that many companies are using “AI” as a marketing ploy without demonstrating genuine, impactful AI integration.

Ultimately, the conversation concluded that AI, particularly generative AI, is often a feature rather than a standalone product. Its true value lies in enhancing existing tools and processes, automating tasks, and improving efficiency. The panelists stressed the need for focusing on real-world business use cases, moving beyond the hype, and clarifying the specific type of AI being employed. The potential for AI to transform cloud management and various industries was acknowledged, but a cautious approach was urged, emphasizing the need for careful evaluation and responsible implementation.

Just what is AI anyway – Cloud Field Day 22 Delegate Roundtable

Appearance: Cloud Field Day 22 Delegate Roundtable Discussion

Company: Tech Field Day

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Personnel: Alastair Cooke

Protecting the heartbeat of ML/AI use cases with HYCU

Company: HYCU

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Personnel: David Noy, Sathya Sankaran

HYCU’s presentation at Cloud Field Day focused on the critical need for data protection within the rapidly expanding AI/ML landscape. The increasing adoption of AI mandates across organizations necessitates robust protection for the underlying data lakes and lake houses that fuel these systems, as well as the repositories AI creates. The presentation highlighted the broad coverage HYCU provides for this data stack, emphasizing its innovative solutions for Google BigQuery, a major data framework used in production environments.

A key aspect of the presentation centered on the various reasons why protecting AI data is essential beyond simply recreating results. Speakers discussed the importance of cyber resilience, the ability to revert to specific points in time to address performance issues or model drift (re-vectoring), and the crucial role of data protection in meeting legal and compliance requirements, such as demonstrating the absence of PII or IP infringement in training data. Furthermore, the complexity of reconstructing datasets spread across diverse sources (on-premises and cloud) was underscored as a significant challenge requiring a comprehensive data protection strategy.

The presentation showcased HYCU’s capabilities in addressing these challenges, specifically demonstrating its solutions for BigQuery. HYCU’s platform provides automated discovery and protection for a wide range of Google Cloud services and boasts a patent-pending technology enabling atomic backups. This innovation addresses the critical issue of data synchronization across multiple tables and datasets within a data lake house, ensuring consistency during backups and recovery. The discussion also highlighted the increasing reliance on data lake houses as central repositories for AI-related data, emphasizing the importance of robust protection for these often singular copies of crucial datasets.

Freedom of Choice for Cloud workloads with Dell and HYCU

Company: HYCU

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Personnel: David Noy, Shiva Raja

Customers face ongoing challenges in determining optimal locations for their core workloads, driven by cloud economics, hypervisor competition, and the need for business agility. To address this, organizations require infrastructure enabling seamless cross-cloud and cross-hypervisor mobility with minimal effort. The HYCU presentation at Cloud Field Day, in collaboration with Dell PowerProtect DD, demonstrated how their joint solution delivers protected mobility across hypervisors and clouds, reducing data loss, recovery time, and costs while mitigating vendor lock-in. A customer story and live demo illustrated the benefits of this approach.

The core of the presentation highlighted the challenges of cloud workload mobility, focusing on application-based workloads hosted on VMs. These challenges included the complexities of navigating differing cloud vendor rules and APIs, the rising costs of cloud storage and egress fees (though this was somewhat mitigated by the fact that some major cloud providers are removing egress fees), and the ever-present threat of cyberattacks such as accidental deletion, insider threats, and ransomware. HYCU’s solution, in conjunction with Dell PowerProtect DD, was presented as overcoming these hurdles through continuous innovation, streamlining manual migration steps, and constant monitoring of changing cloud APIs.

HYCU’s key differentiators included seamless integration with diverse data sources through high-end API-level integration, ensuring secure and performant connections. The partnership with Dell PowerProtect DD, specifically the DDVE virtual appliance, offered proven storage optimization, particularly through deduplication and efficient data transfer, minimizing ingress and egress costs. Combined, HYCU and Dell PowerProtect DD provide air-gapped backup security, utilizing the DD Boost protocol for highly secure data transfers, and offer a range of recovery options, including granular and full restores, to any desired location. A customer case study showcased the success of this integrated approach in migrating workloads between VMware and Azure, emphasizing cost reduction, enhanced security, and simplified migration.

Evolving Cloud Data Protection Market Needs with Dell and HYCU

Company: HYCU

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Personnel: David Noy

Dell’s presentation at Cloud Field Day, featuring David Noy, Vice President of Product Management at Dell DPS, offered insights into Dell’s cloud strategy and its partnership with HYCU. Noy highlighted the market need for cloud data protection solutions that avoid vendor lock-in, reduce total cost of ownership (TCO), and enhance security. He emphasized Dell’s PowerProtect Data Domain, boasting a significant market share and a 50:1 average deduplication ratio, as a key component of their strategy, enabling significant cost savings compared to cloud-native solutions.

A core element of Dell’s approach is leveraging an ecosystem of partners like HYCU to address the rapidly expanding landscape of cloud workloads and SaaS offerings. This collaboration allows Dell to offer comprehensive data protection for a broader range of applications without needing to develop in-house support for every service. The partnership with HYCU is particularly valuable due to HYCU’s deep understanding of various workloads and their ability to integrate seamlessly with Dell’s PowerProtect Data Domain, utilizing Dell’s Boost protocol for efficient and secure data transfer.

Dell’s existing customer base and established sales channels, including direct sales and channel partnerships, facilitate the deployment of the combined Dell-HYCU solution. The integrated approach simplifies the purchasing process for customers, providing a single quote encompassing both Dell’s storage and HYCU’s software. Noy underscored the significant cost reductions achievable through this combined offering, citing a real-world example showcasing a 66-75% reduction in costs compared to using native cloud infrastructure. This cost reduction, combined with improved resilience and support for modern applications, positions the Dell-HYCU partnership as a compelling solution in the evolving cloud data protection market.

Hybrid Cloud Data Protection An overview of HYCU

Company: HYCU

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Vimeo: Hybrid Cloud Data Protection An overview of HYCU
YouTube: Hybrid Cloud Data Protection An overview of HYCU

Personnel: Simon Taylor

HYCU, the world’s fastest-growing data protection as a service company, focuses on solving the challenges customers face in today’s data protection landscape. The company’s presentation at Cloud Field Day highlighted its evolution over the past few years and provided a business overview. A key problem HYCU addresses is the explosion of data sources—the average mid-market company uses at least 212—making traditional, single-source data protection solutions inadequate. HYCU’s approach is to provide a single, unified platform for protecting data regardless of its location, whether on-premises, in the public cloud, or within various SaaS applications.

The presentation emphasized HYCU’s comprehensive coverage, protecting over 80 SaaS services compared to the aggregate of less than 10 protected by all other companies in the Gartner Magic Quadrant. This broad protection extends to hybrid cloud infrastructure, modern cloud applications and services (including BigQuery, Cloud SQL, Jira, Confluence, and Salesforce), and even DevOps and ITSM tools like GitHub and GitLab. The company boasts a 91 Net Promoter Score and numerous industry awards, including recognition from Gartner, Google, and GigaOM. HYCU’s platform, R-Cloud, features R-Graph, an auto-discovery tool that visualizes data location and compliance status, showcasing its value in simplifying data protection management for even complex organizations.

A core component of HYCU’s strategy is its 100% channel approach and its organic growth since its founding in 2018. The company has focused on building a user-friendly platform that solves the “equivalency problem,” making data protection equally simple regardless of the source. Their partnership with Anthropic has been instrumental in rapidly expanding their integrations, surpassing competitors with over 80 integrations. The presentation concluded with a discussion of the often-overlooked need for data protection in emerging areas like AI/ML and DBaaS, further highlighting HYCU’s mission of building a safer world through universal data protection.

Breaking Down Silos – Unified Security for Faster Automated Threat Resolution with Fortinet

Appearance: Fortinet Presents at Cloud Field Day 22

Company: Fortinet

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Personnel: Julian Petersohn

Security teams often struggle with disparate security tools and disjointed workflows, leading to delayed threat responses. Fortinet’s presentation at Cloud Field Day showcased how its FortiSOAR platform addresses this challenge by orchestrating threat intelligence from FortiNDR (Network Detection and Response) and FortiCNAPP (Cloud Native Application Protection Platform). This integration seamlessly connects network and cloud threat data, enabling automated responses to reduce SOC workload and accelerate threat mitigation.

The demonstration highlighted how FortiSOAR ingests alerts from various sources, including FortiNDR and FortiCNAPP, correlating them to build a comprehensive picture of an attack. For example, FortiNDR provides network-level details like malicious IP addresses and file downloads, while FortiCNAPP offers insights into cloud-based activity, such as suspicious container behavior. FortiSOAR then uses these combined insights to trigger automated remediation playbooks, such as blocking malicious IP addresses, deleting compromised deployments, and redeploying clean instances.

Furthermore, FortiSOAR leverages AI capabilities, currently utilizing OpenAI’s GPT technology but with the potential for other integrations, to enhance threat analysis and incident response. This AI assistance allows SOC analysts to gain better context from alerts, receive severity assessments, discover similar incidents, and even automate some of the investigative and response processes. This ultimately improves the efficiency and effectiveness of security operations, enabling faster and more accurate threat resolution.

Network Intelligence Unleashed Turn Traffic into Actionable Threat Insights with Fortinet

Appearance: Fortinet Presents at Cloud Field Day 22

Company: Fortinet

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Personnel: Derrick Gooch, Gabriel O’Brien

Fortinet’s Cloud Field Day presentation highlighted the untapped potential of network traffic for security insights. Derrick Gooch demonstrated how Fortinet’s AI-powered threat detection analyzes virtual machine traffic in real-time, minimizing performance impact and transforming raw network data into actionable intelligence for swift threat detection and mitigation within cloud environments. This is crucial because attackers frequently bypass perimeter defenses, making internal network monitoring essential.

The core of Fortinet’s solution, FortiNDR, leverages AI and machine learning to identify anomalies and malware. It ingests data from various sources, including hardware and virtual appliances, spanning on-premises and cloud environments (supporting AWS, Azure, and Google, as well as popular hypervisors). FortiNDR analyzes this data, classifying traffic as benign, non-malicious, or suspicious, using advanced techniques like gradient-boosted decision trees for web shell detection and deep neural networks for domain generation algorithm identification. The system also incorporates malware analysis through unpacking and deep code analysis using artificial neural networks.

Beyond detection, FortiNDR facilitates remediation and escalation through integration with Fortinet’s security fabric (FortiGate, FortiNAC, FortiSwitch, FortiSOAR) and third-party tools (CrowdStrike, Active Directory, VirusTotal, Cyber Threat Alliance). This allows for automated responses like blocking malicious IP addresses or integrating with existing SIEM systems (FortiAnalyzer, Cortex, Splunk). The presentation concluded with a technical overview of how FortiNDR is deployed in an AWS environment, emphasizing the use of traffic mirroring for efficient data collection.

Visibility into the Cloud – Identify Risks and Threats in Your Cloud Environment with Fortinet

Appearance: Fortinet Presents at Cloud Field Day 22

Company: Fortinet

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Personnel: Derrick Gooch, Gabriel O’Brien

As cloud adoption accelerates, security teams struggle to keep pace with emerging risks and active threats. Fortinet’s FortiCNAP (Cloud Native Application Protection Platform) provides deep visibility into cloud environments, proactively identifying vulnerabilities and detecting real-time threats to enhance cloud security and compliance. The platform addresses cloud security as a big data problem, ingesting data from various cloud sources and performing hourly analysis to establish a baseline of normal activity. FortiCNAP then focuses on highlighting only anomalous activities, such as unusual geolocation logins or unexpected outbound network connections, reducing alert fatigue and prioritizing critical security events.

FortiCNAP achieves this visibility through a combination of agentless and agent-based approaches. Agentless capabilities integrate directly with cloud providers using infrastructure-as-code, pulling in activity logs, configurations, and permissions data for analysis. Agent-based capabilities, requiring some developer involvement for deployment, offer real-time telemetry, including network monitoring, file change detection, and limited vulnerability scanning. Crucially, the agent’s functionality is designed to be performant and avoid impacting the underlying system resources. Furthermore, FortiCNAP integrates with code repositories like GitHub, Bitbucket, and GitLab to enable code security scanning and identify vulnerabilities before they reach production.

All these features are unified under a single platform, although different pricing tiers might be available depending on the included features. Customers can choose to leverage only the components relevant to their needs, such as opting out of the code scanning functionality if they already have a suitable solution in place. The presentation demonstrated FortiCNAP’s capabilities through a live scenario, showcasing its ability to detect and analyze various attack vectors, including cryptojacking, compromised Kubernetes clusters, and reverse shells. The platform’s ability to correlate multiple events into composite alerts and provide detailed root cause analysis, coupled with its integration with existing developer workflows via Terraform modules, GitHub integration, and VS Code plugins, positions FortiCNAP as a comprehensive solution for improving cloud security posture and reducing the burden on both security and development teams.

Stopping the Unseen, AI for High Confidence Low-risk Threat Response with Fortinet

Appearance: Fortinet Presents at Cloud Field Day 22

Company: Fortinet

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Personnel: Aidan Walden, Julian Petersohn

Cyber threats are increasingly sophisticated, often evading traditional detection methods and remaining undetected until significant damage occurs. Fortinet’s presentation at Cloud Field Day highlighted how AI-driven insights from network and cloud intelligence significantly improve threat detection, enhance overall visibility, and enable faster, lower-risk responses for security teams. The core message emphasizes empowering security operators by providing high-fidelity insights that allow for efficient and safe remediation, ultimately minimizing attack surface and reducing organizational risk.

The presentation detailed how Fortinet’s solutions address the challenges of increasingly complex cloud environments with numerous ingress/egress points and ephemeral networks. They ingest a vast amount of signals from various sources, both Fortinet and third-party, then utilize advanced machine learning to correlate this data into high-confidence threat assessments. This composite risk view prioritizes threats and presents actionable information to security operators, even providing AI-powered assistance for investigation and remediation steps, thus reducing the burden of low-value tasks.

A live demonstration showcased how Fortinet’s AI-powered security solutions could uncover and prevent an attack. The scenario, presented by a Fortinet threat analyst, simulated a real-world attack leveraging a known vulnerability, demonstrating the system’s ability to detect the initial compromise, trace the attack’s escalation across cloud infrastructure, and pinpoint critical misconfigurations. The presentation concluded by emphasizing Fortinet’s commitment to innovation and leadership in threat intelligence, backed by a significant patent portfolio and a broad range of security solutions designed to assist organizations in maintaining security posture in dynamic cloud environments.

The IPM Platform in Action with Catchpoint

Appearance: Catchpoint Presents at Cloud Field Day 22

Company: Catchpoint

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Vimeo: The IPM Platform in Action with Catchpoint
YouTube: The IPM Platform in Action with Catchpoint

Personnel: Brandon DeLap, Mehdi Daoudi

Catchpoint’s Internet Performance Monitoring (IPM) platform proactively ensures the resilience and performance of digital experiences. The platform’s core function is to reduce mean time to repair (MTTR) by enabling detection, identification, escalation, and validation of issues. This is achieved through a multi-faceted approach that goes beyond simply identifying symptoms, such as a slow website, to pinpoint the root cause through triangulation of data from various sources.

Central to Catchpoint’s approach is its use of “mystery shoppers,” or synthetic monitoring agents, deployed globally across various ISPs and even in residential locations to provide a comprehensive view of performance from the end-user perspective. This is complemented by real user monitoring (RUM) using JavaScript beacons, BGP data collection for network-level insights, and integrations with tools like WebPageTest.org and Tundra for deeper application performance analysis. All this data feeds into a central platform for dashboards, alerting, and analysis.

The platform provides a holistic view of digital service health, focusing on accessibility, uptime, speed, and reliability. Key features include the StackMap visualization for a single-pane-of-glass view of performance, Internet Sonar for AI-driven issue identification, and end-to-end tracing using open telemetry. Catchpoint also offers advanced features like automated experiments to help web developers optimize performance and integrates with various alerting and ticketing systems for seamless workflow integration. The platform’s flexibility allows for customization to meet the specific needs of diverse organizations, from simple alert routing to sophisticated data integration with observability platforms.

The Internet Performance Mamagement (IPM) Platform with Catchpoint

Appearance: Catchpoint Presents at Cloud Field Day 22

Company: Catchpoint

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Personnel: Mehdi Daoudi

Innovate or Perish IT Organizations Must Rethink Observability in the Cloud Age with Catchpoint