23RD - 24TH APRIL 2020 | PRAGUE CONGRESS CENTRE
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Marketing summit Prague 2020
In the year of 2020, Prague has been in the top area of comprehensive digital commercialization, and faceds the top area worldโs most eagers transformation business digitization
Digital commercialization and faced with the worldโs most eagers has been in comprehensive.
We have dedicated tracks for every industry Whether you want to hire techโs top talent meet with the policymakers influencing your industry or exchange notes with your peers and competitors. Maybe you want to place your company.
We have dedicated tracks for every industry Whether you want to hire techโs top talent meet with the policymakers.
In the year of 2020, Prague has been in the top area of comprehensive digital commercialization, and faceds the top area worldโs most eagers transformation business digitization
In the year of 2020, Prague has been in the top area of comprehensive digital commercialization, and faceds the top area worldโs most eagers transformation business digitization
In the year of 2020, Prague has been in the top area of comprehensive digital commercialization, and faceds the top area worldโs most eagers transformation business digitization
#Event Speakers
CEO, Wolf Executives.
Chief Information Security Officer, Memorial Health System.
Executive Director, Crypto ISAC
Leader of the Application Security, Blizzard Entertainment
#Thought leadership
Remember when ChatGPT was going to revolutionize your security program overnight? Two years into production deployments, it's time for an honest conversation about what actually happened when LLMs met the reality of 24/7 security operations, application security and cyber threat intelligence. This talk cuts through the vendor hype to share real-world experiences integrating AI into security workflows. We'll explore specific use cases where LLMs genuinely improved securityโfrom automating alert triage to synthesizing threat intelligenceโand more importantly, where they failed spectacularly. You'll learn why that "AI-powered code improvement recommendations" POC crashed and burned, and how hallucinating LLMs almost caused priority one incidents. The session deep-dives into the risks nobody wants to discuss: what happens when your incident data trains someone else's model, how attackers can manipulate AI-driven security decisions through prompt injection, and why relying on AI to triage alerts can either be the best or worst decision you make this year. We'll outline battle-tested guardrails including data handling requirements, access control strategies, and the critical "human-in-the-loop" checkpoints that separate success from disaster. Attendees will leave with a practical framework for evaluating AI integration in their own SOCs, a clear understanding of the security and privacy implications, and most importantly, realistic expectations about what AI can and cannot do for a security program. Whether you're actively using LLMs, still evaluating, or have been told "absolutely not" by legal, you'll gain actionable insights from our year-long journey of successes, failures, and lessons learned the hard way. No vendor pitches, no hand-waving about AGI solving all our problemsโjust practical experiences from the trenches of running AI-augmented security program.
Remember when generative AI was going to transform security programs overnight? Two years into practical adoption, the results are more complicated. This talk examines how security teams are using AI across security operations, application security, vulnerability management, and threat intelligence, drawing on firsthand experience and broader industry examples. We will explore where large language models provide real value, including analyzing vulnerabilities, investigating alerts, explaining unfamiliar code and attack paths, summarizing threat intelligence, generating test ideas, and identifying remediation options. We will also look at where they fall short. AI-generated conclusions can be plausible but wrong, overlook environmental controls, misjudge severity, or recommend actions that create additional risk. Without sufficient context, an impressive answer can become a bad security decision. These limitations matter whether AI is reviewing scanner output, researching an emerging threat, or helping analysts triage alerts. A model can organize evidence and suggest next steps, but it cannot independently confirm production conditions, compensating controls, attacker behavior, or business impact. Those conclusions still require validation and human judgment.
Technical expertise can build credibility, but it does not automatically prepare a leader for the next level. In this keynote, Sean Barnes breaks executive presence into practical, learnable skills that shape how leaders are perceived in high stakes environments. He explores how confidence, communication, listening, business understanding, professional presence, and the ability to build trust all work together to influence whether others see someone as ready for greater responsibility. Attendees will leave with practical ways to strengthen how they show up in meetings, presentations, boardroom conversations, and other critical leadership moments.
Dexter Ingram spent thirty years hunting terroristsโfrom a forward operating base in Afghanistanโs Helmand Province to the corridors of INTERPOL headquarters in Lyon to back-channel negotiations with governments that didnโt always want to cooperate. What he kept running into, especially toward the end of his career, was how much the threat had changedโand how much it had started to look like a cybersecurity problem. The same encrypted platforms your security team monitors. The same social engineering tactics your awareness training covers. The same human vulnerabilities your insider threat program tries to catch. Extremist organizations figured out the digital environment faster than most people in government were willing to admit, and the consequences of that lag are still playing out. In this talk, Ingram pulls from his time running the State Departmentโs Office of Countering Violent Extremism, directing the 89-nation coalition to defeat ISIS, and coordinating counterterrorism responses from INTERPOL to walk through what the national security world learnedโsometimes the hard wayโabout adversaries who adapt, disappear, and rebuild faster than any bureaucracy can track them. Heโll get into what AI-driven radicalization actually looks like in practice, why the timelines are compressing in ways that should concern anyone managing organizational risk, and what thirty years of coalition-building taught him about the difference between having intelligence and knowing what to do with it. No classified information he canโt shareโjust hard-won perspective from someone who spent three decades in the rooms where these decisions get made and watched the threat follow us all online.
Artificial intelligence is rapidly becoming a trusted decision authority inside private enterprises, shaping capital allocation, cyber defense prioritization, fraud detection thresholds, supply chain strategy, and M&A diligence. This presentation explores a critical but underexamined risk around AI as the next insider threat, not because it is malicious, but because it can be quietly influenced. When adversaries manipulate training data, telemetry streams, third-party intelligence feeds, or retrieval pipelines, they do not need to breach systems to cause damage; they only need to shape the inputs that drive the outputs. The result can be distorted risk models, skewed financial forecasts, misaligned security investments, and materially flawed executive decisions. Drawing on Cold War intelligence paradigms in which controlling information streams shaped strategic outcomes, this session reframes AI as a modern influence channel inside private industry. It also examines the psychology of human reliance on machine-generated authority and why automation bias amplifies the impact of corrupted data. The talk concludes with mitigation steps focused on preserving data integrity, protecting decision quality, and safeguarding financial outcomes in AI-enabled enterprises.
Historically, our work in data protection has focused on the alignment between organizational policies/practices and the privacy laws and rules established by nations. While compliance remains a core responsibility of todayโs privacy professional, emerging technologies such as AI, blockchain and Quantum are exerting new and acute pressures on information rights as well as on intellectual property ownership. These challenges make us question the practical effectiveness of legal and regulatory responses. Is our goal the continued preservation of law as the sole remediation to privacy harms? Or does the future demand something fuller, stronger and more expedient? A leading privacy educator and advisor argues for a multi-disciplinary approach that incorporates design, ethics, cultural literacy and technology itself into our privacy work. This approach will strengthen information protection, elevate us as privacy professionals and bring data value, rather than just compliance cost, to the organizations we serve.
Evenex Conference
Evenex Conference
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Evenex Conference
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#Our Pricing Plans
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