Webinars
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From Alert Storm to Boardroom: Decision-Ready Incident Intelligence
Most serious incidents are not constrained by a lack of telemetry, but by an organisation’s ability to turn fragmented signals into a coherent, actionable picture of the crisis. Security, infrastructure, data and business teams often operate with different information, while executives receive updates that are delayed, overly technical or inconclusive when decisive action is most needed. This session examines technology-enabled incident intelligence as an executive capability, not a dashboarding exercise. It explores how automated correlation, data lineage, dependency mapping, and orchestrated workflows can help leaders answer four questions with confidence: What is affected, what is at risk, what can be safely restored, and what decision is needed now? Attendees will explore how defined escalation and disclosure thresholds, clear decision rights, and evidence-based reporting can strengthen crisis coordination, support regulatory accountability, and ensure that communications remain controlled as the situation evolves. Key Takeaways: - Unify incident intelligence: Consolidate security, data, infrastructure, and business signals into a shared operational view. - Accelerate defensible decisions: Turn incident insights into timely containment, disclosure, and recovery actions. - Define escalation thresholds: Establish clear decision rights and reporting triggers before a crisis occurs. - Ensure evidence-led communication: Ground executive and external updates in verified facts, documented decisions, and controlled approvals.
Obuks Akpede, Data Governance Consultant | Adastra Corporation
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How to Limit Risk and Exposure from Agentic AI
As agentic AI transitions from experimental technology to embedded workplace reality, organizations face an unprecedented expansion of their attack surface. This conversation examines the critical inflection point we've reached—where coding assistants, browser-integrated agents, and autonomous systems with persistent execution loops are becoming standard tools, accessible even to non-developers. Join Pascal Geenens, VP of Cyber Threat Intelligence at Radware, and Simon Ratcliffe, Independent Management & Technology Consultant, for a compelling 30-minute fireside chat exploring the emerging security challenges posed by autonomous AI agents in 2026. Pascal and Simon will navigate essential dimensions of this evolving landscape. They'll contextualize the fundamental shift occurring in 2026, including the "Bring Your Own Agent" phenomenon where autonomous agents are now integrated directly into operating systems and corporate workflows. They'll dissect the real-world threat vectors that security teams must address—from indirect prompt injection attacks and software supply chain compromises to the architectural trade-offs between cloud-based frontier models and self-hosted alternatives. Pascal will provide actionable guidance on risk mitigation strategies, exploring visibility frameworks, artifact proxies, LLM firewalls, and why intent-based protection models are essential when traditional content filters fall short. Whether you're a security professional, technology leader, or risk manager, this session offers critical insights into protecting your organization as AI agents become autonomous actors within your infrastructure.
Pascal Geenens, VP of Cyber Threat Intelligence, Radware | Simon Ratcliffe, Independent Management & Technology Consultant
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Building AI-Ready Data Infrastructure with Sangfor aStor 5.3.2R1
As enterprises move beyond AI experimentation into production-scale deployment, data infrastructure has become a critical factor in determining AI success. Traditional storage architectures often struggle to support the growing demands of AI-driven workloads, including large-scale unstructured data management, vector-based retrieval, data mobility, and enterprise-grade resilience. Organizations need a storage platform that not only delivers performance and reliability but also provides a scalable foundation for future AI initiatives. Join our upcoming webinar to discover how Sangfor aStor 5.3.2R1 helps enterprises build AI-ready data infrastructure through enhanced object storage capabilities, vector bucket innovation, unified data management, and strengthened data protection mechanisms. What You'll Learn: ●AI-Ready Storage Strategy: Key storage requirements as enterprises transition from AI pilots to production-scale applications. ●Modern Unstructured Data Management: How unified visibility and access across storage assets simplify data operations and improve efficiency. ●AI Data Platform Innovation: Leveraging object storage and vector buckets to support emerging AI and GenAI use cases. ●Enterprise-Grade Data Resilience: Enhancements in asynchronous replication, encryption, and reliability to protect critical business data. ●New Business Opportunities: Recommended scenarios and positioning strategies for customers and partners adopting AI infrastructure.
Cheney Hu - Sangfor Senior Cloud Product Marketing Manager
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Protecting Your Brand When Seasonal Attacks Scale
Seasonal promotions and peak buying periods drive some of your biggest revenue moments. They also give attackers their best opening. As digital activity accelerates and buyers act with greater urgency, bad actors move just as fast. They clone your brand, deceive your customers, and commit fraud at scale. That puts revenue, reputation, and customer trust on the line. Brand impersonation rarely stays external. Fraudulent sites, messages, and offers can create risk that reaches deeper, potentially affecting internal systems and infrastructure too. This webinar shows how to move from brand exposure to faster, preemptive disruption. You'll learn to recognize when external brand threats signal broader risk to your organization. In this webinar, you’ll learn: - How seasonality, rising digital activity, and customer urgency open the door to brand impersonation and fraud - Why external brand threats create downstream risk for your internal systems and infrastructure - How your marketing and legal teams can assess the impact on customers, trust, and brand reputation - How your security team can evaluate whether external activity signals broader infrastructure risk - How cross-functional teams can spot threats earlier, reduce exposure, and respond faster Register now to see how a coordinated, proactive approach can help protect your brand, customers, and infrastructure when seasonal threats peak.
Daniel Brody and Dario Beniamini
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Energy transition investing during an energy shock: Why now and what next?
This interactive discussion will explore key themes shaping energy transition infrastructure and the considerations and opportunities for investors, including: - The impact of the energy price shock related to Middle East conflict, including short- to medium-term implications for energy security and reliance on imported fossil fuels - The investment case for energy transition infrastructure, including diversification, resilience, exposure to power prices and performance through energy shocks and inflationary environments - The role of different energy transition technologies, from renewables and batteries to grids and alternative fuels, and their respective risk-return profiles - The opportunity in mid-market energy transition infrastructure, including the ‘missing middle’, attractive entry points and key growth drivers - Portfolio construction considerations within energy transition infrastructure, including diversification across strategies - Why specialist expertise matters, including access to opportunities and the sector expertise and relationships needed to support value creation
Minal Patel, Global Head of Infrastructure, Schroders Capital | Sean Maguire, Partner, Schroders Capital | Moderator: Brendan Maton, IPE
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Protecting Your Brand When Seasonal Attacks Scale
Seasonal promotions and peak buying periods drive some of your biggest revenue moments. They also give attackers their best opening. As digital activity accelerates and buyers act with greater urgency, bad actors move just as fast. They clone your brand, deceive your customers, and commit fraud at scale. That puts revenue, reputation, and customer trust on the line. Brand impersonation rarely stays external. Fraudulent sites, messages, and offers can create risk that reaches deeper, potentially affecting internal systems and infrastructure too. This webinar shows how to move from brand exposure to faster, preemptive disruption. You'll learn to recognize when external brand threats signal broader risk to your organization. In this webinar, you’ll learn: - How seasonality, rising digital activity, and customer urgency open the door to brand impersonation and fraud - Why external brand threats create downstream risk for your internal systems and infrastructure - How your marketing and legal teams can assess the impact on customers, trust, and brand reputation - How your security team can evaluate whether external activity signals broader infrastructure risk - How cross-functional teams can spot threats earlier, reduce exposure, and respond faster Register now to see how a coordinated, proactive approach can help protect your brand, customers, and infrastructure when seasonal threats peak.
Daniel Brody and Dario Beniamini
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ON-DEMAND 60 mins
Is DNS Ready for the AI Era?
DNS was designed for an Internet very different from the one it supports today. It has scaled from an academic network into critical infrastructure for cloud services, digital business, cybersecurity, and now AI agents. Yet the principles that made DNS successful, including delegation, distributed authority, and operational independence, are being tested by encrypted resolution, hybrid and multicloud complexity, increasingly automated attacks, and growing dependence on a small number of service providers. In this fireside chat, Internet pioneer Paul Vixie and DDI advisor Andreas Taudte connect the design decisions that shaped DNS with the technology choices facing organizations today. They will examine what must remain stable, what needs to change, and how operators can preserve visibility, control, security, and resilience as both infrastructure and threats become more autonomous. The discussion will combine historical context, current technical challenges, and candid perspectives on the future of one of the Internet's most important systems.
Paul Vixie, Internet Pioneer Andreas Taudte, Principal DDI Advisor EfficientIP
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ON-DEMAND 45 mins
Beyond the CPU: Exposing AI Attacks in the GPU Stack
AI infrastructure runs on GPUs, but most security tooling still watches the CPU. That creates a huge visibility gap. From the host, very different AI workloads can all look like the same trusted Python process using a GPU. As attackers target more of the GPU stack, CPU-centric tools like EDR, CSPM and SIEM can miss critical behaviour. Closing that gap starts with understanding where existing controls lose visibility and what signals can restore it. Security teams need better telemetry across the AI infrastructure, along with sharper questions for GPU cloud and neocloud providers. They also need to account for unexpected attack paths, like model manipulation techniques that leave files on disk unchanged and generate no obvious network or driver activity. In this session, AI & Accelerator Security Specialist Chris Hosking, will break down the GPU attack surface layer by layer, from orchestration and container runtime risks to driver exploits, side channels, cryptojacking, and ROME-class attacks. He will show what attackers gain, what current tools actually see, and what security teams can do to close the visibility gap. Key takeaways: - Understand where the GPU attack surface begins and how it expands across the AI stack. - Spot the signs of ROME-class attacks and other threats that traditional controls are likely to miss. - Pinpoint the gaps in CPU-focused security tooling and the telemetry needed to close them. - Challenge GPU cloud and neocloud providers with the questions that matter before deploying sensitive workloads.
Chris Hosking, Director of Accelerator & AI Research | Stealthium
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ON-DEMAND 56 mins
Proactive Network Defense Strategies for Tomorrow's IT Challenges
Network security remains a top organizational challenge today. As AI workloads intensify, network observability and resiliency have become critical priorities, with AI simultaneously straining infrastructure and creating new vulnerabilities. How can devices, applications, and users operate securely? Who owns network security responsibility in modern organizations? In this webinar, discover how IT leaders transform security challenges into resilience advantages.
Salvatore Salamone, IronSpark Analysis; Nicholas Casale, Lumen Technologies; Michael Lawson, Lumen Technologies; Peter Krass, InformationWeek
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ON-DEMAND 36 mins
Securing AI Applications Across the AI Lifecycle
AI applications are changing and security teams must expand their scope beyond cloud infrastructure to include application-level risk. Cloud context remains foundational, but securing AI applications also requires understanding how they're built, what they're designed to do, and what they're capable of. Without that application context, it's impossible to fully understand AI-native risk or the real attack paths introduced by AI. Join this session to examine a unified approach to AI application security. We will demonstrate how to map AI applications across custom code, managed AI platforms, and SaaS; uncover AI-native risks; prioritize real attack paths using unified cloud and AI context; and detect threats at runtime. Learn how a unified approach to AI application security enables teams to secure the entire AI application lifecycle—from build through production—without impacting development velocity.
Snegha Ramnarayanan
