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ITSPmagazine

ITSPmagazine

De: ITSPmagazine Sean Martin Marco Ciappelli
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Broadcasting Ideas and Connecting Minds at the Intersection of Cybersecurity, Technology and Society. Founded by Sean Martin and Marco Ciappelli in 2015, ITSPmagazine is a multimedia platform exploring how technology, cybersecurity, and society shape our world. For over a decade, we've recognized this convergence as one of the most defining forces of our time—and it's more critical than ever. Our global community encourages intellectual exchange, challenging assumptions and diving deep into the questions that will define our digital future. From emerging cyber threats to societal implications of new technologies, we navigate the complex relationships that matter most. Join us where innovation meets security, and technology meets humanity.© Copyright 2015-2025 ITSPmagazine, Inc. All Rights Reserved Ciencias Sociales Política y Gobierno
Episodios
  • AI Will Replace Democracy: The Future of Government is Here. Or, is it? Let's discuss! | A Conversation with Eli Lopian | Redefining Society And Technology Podcast With Marco Ciappelli
    Sep 27 2025
    ⸻ Podcast: Redefining Society and Technologyhttps://redefiningsocietyandtechnologypodcast.com ______Title: Tech Entrepreneur and Author's AI Prediction - The Last Book Written by a Human Interview | A Conversation with Jeff Burningham | Redefining Society And Technology Podcast With Marco Ciappelli______Guest: Eli LopianFounder of Typemock Ltd | Author of AIcracy: Beyond Democracy | AI & Governance Thought LeaderOn LinkedIn: https://www.linkedin.com/in/elilopian/Book: https://aicracy.aiHost: Marco CiappelliCo-Founder & CMO @ITSPmagazine | Master Degree in Political Science - Sociology of Communication l Branding & Marketing Advisor | Journalist | Writer | Podcast Host | #Technology #Cybersecurity #Society 🌎 LAX 🛸 FLR 🌍WebSite: https://marcociappelli.comOn LinkedIn: https://www.linkedin.com/in/marco-ciappelli/_____________________________This Episode’s SponsorsBlackCloak provides concierge cybersecurity protection to corporate executives and high-net-worth individuals to protect against hacking, reputational loss, financial loss, and the impacts of a corporate data breach.BlackCloak: https://itspm.ag/itspbcweb_____________________________⸻ Podcast Summary ⸻ I had one of those conversations that makes you question everything you thought you knew about democracy, governance, and the future of human society. Eli Lopian, founder of TypeMock and author of the provocative book on AI-cracy, walked me through what might be the most intriguing political theory I've encountered in years.⸻ Article ⸻ Technology entrepreneur Eli Lopian joins Marco to explore "AI-cracy" - a revolutionary governance model where artificial intelligence writes laws based on abundance metrics while humans retain judgment. This fascinating conversation examines how we might transition from broken democratic systems to AI-assisted governance in our evolving Hybrid Analog Digital Society.Picture this scenario: you're sitting in a pub with friends, listening to them argue about which political rally to attend, and suddenly you realize something profound. As Eli told me, it's like watching people fight over which side of the train to sit on while the train itself is heading in completely the wrong direction. That metaphor perfectly captures where we are with democracy today.Eli's background fascinates me - breaking free from a religious upbringing at 16, building a successful AI startup for the past decade, and now proposing something that sounds like science fiction but feels increasingly inevitable. His central premise stopped me in my tracks: no human being should be allowed to write laws anymore. Only AI should create legislation, guided by what he calls an "abundance metric" - essentially optimizing for human happiness, freedom, and societal wellbeing.But here's where it gets really interesting. Eli isn't proposing we hand over control to a single AI overlord. Instead, he envisions three separate AI systems - one controlled by the government, one by the opposition, and one by an NGO - all working with the same data but operated by different groups. They must reach identical conclusions for any law to proceed. If they disagree, human experts investigate why.What struck me most was how this could actually restore direct democracy. In ancient Athens, every citizen participated in the polis. We can't do that with hundreds of millions of people, but AI could process everyone's input instantly. Imagine submitting your policy ideas directly to an AI system that responds within hours, explaining why your suggestion would or wouldn't improve societal abundance. It's like having the Athenian square scaled to modern complexity.The safeguards Eli proposes reveal his deep understanding of human nature. No AI can judge humans - that remains strictly a human responsibility. Citizens don't vote for charismatic politicians anymore; they vote for actual policies. Every three years, people choose their preferred policies. Every decade, they set ambitious collective goals - cure cancer, reach Mars, whatever captures society's imagination.Living in our Hybrid Analog Digital Society, we already see AI creeping into governance. Lawyers use AI, governments employ algorithms for efficiency, and citizens increasingly turn to ChatGPT for advice they once sought from doctors or therapists. Eli's insight is that we're heading toward AI governance whether we plan it or not - so why not design it properly from the start?His most compelling point addresses a fear I share: that AI lacks creativity. Eli argues this is actually a feature, not a bug. AI generates rather than truly creates. The creative spark - proposing that universal basic income experiment, suggesting we test new social policies, imagining those decade-long goals - that remains uniquely human. AI simply processes our creativity faster and more fairly than our current broken systems.The privacy question loomed large in our conversation. Eli proposes a brilliant separation: your...
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    37 m
  • Why Identity Must Come First in the Age of AI Agents | A Black Hat SecTor 2025 Conversation with Cristin Flynn Goodwin | On Location Coverage with Sean Martin and Marco Ciappelli
    Sep 26 2025
    When we talk about AI at cybersecurity conferences these days, one term is impossible to ignore: agentic AI. But behind the excitement around AI-driven productivity and autonomous workflows lies an unresolved—and increasingly urgent—security issue: identity.In this episode, Sean Martin and Marco Ciappelli speak with Cristin Flynn Goodwin, keynote speaker at SecTor 2025, about the intersection of AI agents, identity management, and legal risk. Drawing from decades at the center of major security incidents—most recently as the head cybersecurity lawyer at Microsoft—Cristin frames today’s AI hype within a longstanding identity crisis that organizations still haven’t solved.Why It Matters NowAgentic AI changes the game. AI agents can act independently, replicate themselves, and disappear in seconds. That’s great for automation—but terrifying for risk teams. Cristin flags the pressing need to identify and authenticate these ephemeral agents. Should they be digitally signed? Should there be a new standard body managing agent identities? Right now, we don’t know.Meanwhile, attackers are already adapting. AI tools are being used to create flawless phishing emails, spoofed banking agents, and convincing digital personas. Add that to the fact that many consumers and companies still haven’t implemented strong MFA, and the risk multiplier becomes clear.The Legal ViewFrom a legal standpoint, Cristin emphasizes how regulations like New York’s DFS Cybersecurity Regulation are putting pressure on CISOs to tighten IAM controls. But what about individuals? “It’s an unfair fight,” she says—no consumer can outpace a nation-state attacker armed with AI tooling.This keynote preview also calls attention to shadow AI agents: tools employees may create outside the control of IT or security. As Cristin warns, they could become “offensive digital insiders”—another dimension of the insider threat amplified by AI.Looking AheadThis is a must-listen episode for CISOs, security architects, policymakers, and anyone thinking about AI safety and digital trust. From the potential need for real-time, verifiable agent credentials to the looming collision of agentic AI with quantum computing, this conversation kicks off SecTor 2025 with urgency and clarity.Catch the full episode now, and don’t miss Cristin’s keynote on October 1.___________Guest:Cristin Flynn Goodwin, Senior Consultant, Good Harbor Security Risk Management | On LinkedIn: https://www.linkedin.com/in/cristin-flynn-goodwin-24359b4/Hosts:Sean Martin, Co-Founder at ITSPmagazine | Website: https://www.seanmartin.comMarco Ciappelli, Co-Founder at ITSPmagazine | Website: https://www.marcociappelli.com___________Episode SponsorsThreatLocker: https://itspm.ag/threatlocker-r974BlackCloak: https://itspm.ag/itspbcweb___________ResourcesKeynote: Agentic AI and Identity: The Biggest Problem We're Not Solving: https://www.blackhat.com/sector/2025/briefings/schedule/#keynote-agentic-ai-and-identity-the-biggest-problem-were-not-solving-49591Learn more and catch more stories from our SecTor 2025 coverage: https://www.itspmagazine.com/cybersecurity-technology-society-events/sector-cybersecurity-conference-toronto-2025New York Department of Financial Services Cybersecurity Regulation: https://www.dfs.ny.gov/industry_guidance/cybersecurityGood Harbor Security Risk Management (Richard Clarke’s firm): https://www.goodharbor.net/Catch all of our event coverage: https://www.itspmagazine.com/technology-and-cybersecurity-conference-coverageWant to share an Event Briefing as part of our event coverage? Learn More 👉 https://itspm.ag/evtcovbrfWant Sean and Marco to be part of your event or conference? Let Us Know 👉 https://www.itspmagazine.com/contact-us___________KEYWORDScristin flynn goodwin, sean martin, marco ciappelli, sector, microsoft, ai, identity, agents, ciso, quantum, event coverage, on location, conference Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.
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    22 m
  • How F-Secure Transformed from Endpoint Security to Predicting Scams Before They Happen | A Brand Story Conversation with Dmitri Vellikok, Product and Business Development at F-Secure
    Sep 26 2025
    The cybersecurity industry operates on a fundamental misconception: that consumers want to understand and manage their digital security. After 17 years at F-Secure and extensive consumer research, Dmitri Vellikok has reached a different conclusion—people simply want security problems to disappear without their involvement.This insight has driven F-Secure's transformation from traditional endpoint protection to what Vellikok calls "embedded ecosystem security." The company, which holds 55% global market share in operator-delivered consumer security, has moved beyond the conventional model of asking consumers to install and manage security software.F-Secure's approach centers on embedding security capabilities directly into applications and services consumers already use. Rather than expecting people to download separate security software, the company partners with telecom operators, insurance companies, and financial institutions to integrate protection into existing customer touchpoints.This embedded strategy addresses what Vellikok identifies as cybersecurity's biggest challenge: activation and engagement. Traditional security solutions fail when consumers don't install them, don't configure them properly, or abandon them due to complexity. By placing security within existing applications, F-Secure automatically reaches more consumers while reducing friction.The company's research reveals the extent of consumer overconfidence in digital security. Seventy percent of people believe they can easily spot scams, yet 43% of that same group admits to having been scammed. This disconnect between perception and reality drives F-Secure's focus on proactive, invisible protection rather than relying on consumer vigilance.Central to this approach is what F-Secure calls the "scam kill chain"—a framework for protecting consumers at every stage of fraudulent attempts. The company analyzes scam workflows to identify intervention points, from initial contact through trust-building phases to final exploitation. This comprehensive view enables multi-layered protection that doesn't depend on consumers recognizing threats.F-Secure's partnership with telecom operators provides unique advantages in this model. Operators see network traffic, website visits, SMS messages, and communication patterns, giving them visibility into threat landscapes that individual security solutions cannot match. However, operators typically don't communicate their protective actions to customers, creating an opportunity for F-Secure to bridge this gap.The company combines operator-level data with device-level protection and user interface elements that inform consumers about threats blocked on their behalf. This creates what Vellikok describes as a "protective ring" around users' digital lives while maintaining transparency about security actions taken.Artificial intelligence and machine learning have been core to F-Secure's operations for over a decade, but recent advances enable more sophisticated predictive capabilities. The company processes massive data volumes to identify patterns and predict threats before they materialize. Vellikok estimates that within 18 to 24 months, F-Secure will be able to warn consumers three days in advance about likely scam attempts.This predictive approach represents a fundamental shift from reactive security to proactive protection. Instead of waiting for threats to appear and then blocking them, the system identifies risk patterns and steers users away from dangerous situations before threats fully develop.The AI integration also serves as a translation layer between technical security events and consumer-friendly communications. Rather than presenting technical alerts about blocked URLs or filtered emails, the system provides context about threats in language consumers can understand and act upon.F-Secure's evolution reflects broader industry recognition that consumer cybersecurity requires different approaches than enterprise security. While businesses can mandate security training and complex protocols, consumers operate in environments where convenience and simplicity drive adoption. The embedded security model acknowledges this reality while maintaining protection effectiveness.The company's global reach through operator partnerships positions it to address cybersecurity as a systemic challenge rather than an individual consumer problem. By aggregating threat data across millions of users and multiple communication channels, F-Secure creates network effects that improve protection for all users as the system learns from new attack patterns.Looking forward, Vellikok anticipates cybersecurity challenges will continue evolving in waves. Current focus on scam protection will likely shift to AI-driven threats, followed by quantum computing challenges. The embedded security model provides a framework for adapting to these changes while maintaining consumer protection without requiring users to understand or ...
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    36 m
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