So What About AI Agents

• EP 42 - Real-Time Threat Detection: The Future of Safety - Egor Olteanu - Volt.ai

  KeywordsAI, video analytics, security, Vault AI, incident detection, privacy, technology, company culture, future of AI, Igor OlteanuSummaryIn this episode, Igor Olteanu, co-founder of Vault AI, discusses the transformative impact of AI-powered video analytics on physical security. He shares his journey from military service to tech innovation, the technology behind Vault AI's solutions, and the importance of real-time incident detection. Igor addresses privacy concerns, highlights the effectiveness of their technology, and shares notable success stories. He also reflects on the cultural insights gained from his time at Google and how they influence the company culture at Vault AI. Finally, Igor offers his thoughts on the future of AI in security and encourages listeners to embrace innovation.TakeawaysIgor transitioned from military to tech due to a passion for innovation.Vault AI focuses on real-time incident detection in educational spaces.The technology uses geolocation and 3D mapping for accuracy.AI validation is complemented by human oversight to reduce false positives.Privacy concerns are addressed by clarifying existing camera usage.The effectiveness of AI allows for 100% camera monitoring.Notable incidents include detecting medical emergencies and bullying.Company culture emphasizes direct communication and innovation.Igor's military background aids in understanding security needs.The future of AI in security will see increased adoption and trust.TitlesTransforming Security with AI: Igor Olteanu's JourneyReal-Time Threat Detection: The Future of SafetyChapters00:00 Introduction to Vault AI and Igor's Journey02:49 The Technology Behind Vault AI's Video Analytics05:12 Real-Time Incident Detection and Response08:02 Privacy Concerns and Customer Objections10:50 Effectiveness of AI in Security13:41 Notable Incidents and Success Stories16:47 Cultural Insights from Google to Vault AI19:24 Building a Strong Company Culture22:00 The Future of AI in Security24:47 Final Thoughts and Encouragement

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• EP 41 | Agentic Society with Duri Chitayat

  KeywordsAI agents, agentic society, culture, ethics, workforce, education, technology, future generations, automation, human-AI interactionSummaryIn this conversation, Philippe Trounev and Duri Chitayat explore the transformative impact of AI agents on society, culture, and the workforce. Duri shares his insights on how AI can be integrated into company culture, the challenges of teaching AI about human culture, and the implications for future generations growing up in an AI-driven world. They discuss the ethical responsibilities of AI developers and the need for a robust educational framework to prepare for a future where AI plays a central role in our lives. The conversation emphasizes the importance of trust, ethics, and adaptability in navigating the evolving landscape of technology and society.TakeawaysDuri Chitayat emphasizes the need for AI to adapt to human culture.AI agents can fundamentally change business models and operations.Understanding cultural nuances is crucial for effective AI integration.The future workforce will require new skills and adaptability due to AI.Ethics in AI development is essential to prevent negative societal impacts.Trust will become a key factor in human-AI interactions.Education systems must evolve to prepare children for an AI-driven world.Diversity of skills will be important for future job security.Cognitive decline can occur if we rely too heavily on AI.A balance between technology use and human interaction is necessary.TitlesNavigating the Agentic RevolutionAI Agents: Redefining Business and CultureSound bites"Agents must adapt to our culture""We might lose autonomy with AI tools""Prepare for a genetic society"Chapters00:00 Introduction to Agentic Society02:50 Cultural Integration of AI Agents05:25 The Role of AI in Corporate Culture08:12 AI and the Next Generation10:37 Future Workforce and Education13:36 Ethics in AI Development16:04 Preparing for a Genetic Society

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• P 40 | Agentic Security - Grant McCracken @ DarkHorse.sh

  SummaryIn this episode, Philippe Trounev and Grant McCracken discuss the evolving landscape of cybersecurity, particularly focusing on the role of agentics and AI in enhancing security measures. They explore the implications of new attack vectors like prompt injection, the potential for agent-to-agent attacks, and the innovative approach of agentic pen testing. Grant shares insights on how AI can improve the efficiency and effectiveness of security testing while emphasizing the importance of foundational cybersecurity practices. The conversation highlights the balance between leveraging advanced technologies and maintaining robust security protocols.TakeawaysCybersecurity is evolving with the introduction of agentics.Fundamentals of cybersecurity remain crucial despite new technologies.68% of data breaches originate from human error.Prompt injection is a significant new attack vector.AI can identify existing vulnerabilities but not create new ones.Agentic pen testing offers continuous, fatigue-free testing.Contextual vulnerabilities are better identified by AI.AI pen testing could reduce costs compared to human testers.Dark Horse aims to make cybersecurity solutions accessible.AI compute costs are high but expected to decrease over time.TitlesThe Future of Cybersecurity: Agentics and AIUnderstanding Cybersecurity in the Age of AISound bites"68% of data breaches start at the human layer.""Prompt injection is a new attack vector.""Agentic pen testing can run 24/7 without fatigue."Chapters00:00 Introduction to Cybersecurity and AI Agents01:42 Changing Attack Vectors in Cybersecurity03:44 Human Layer Vulnerabilities and AI's Role07:13 Prompt Injection and Offensive Strategies11:26 Agentic Systems and Security Risks12:58 Agent-to-Agent Attacks and Communication Risks17:03 Agentic Pen Testing: A New Approach21:33 Cost Efficiency of Agentic Pen Testing24:48 Exciting Developments in AI Pen Testing27:53 Future of Agentic Pen Testing and Market Potential

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• EP 39 - Agentic Authentication | Bobbie Chen

  SummaryIn this episode, Philippe Trounev interviews Bobbie Chen, a product manager at Stytch, about the challenges and solutions related to AI agents, particularly in the context of security and fraud prevention. They discuss the concept of agentic experience, the importance of effective authentication methods, and the need for businesses to protect themselves from bad bots. Bobby shares insights on implementing agentic solutions, navigating compliance issues, and the future of fraud prevention in an increasingly automated world.TakeawaysAI agents have unique needs that differ from human users.Agentic experience is crucial for effective interaction with AI.Security measures must evolve to protect against bad bots.Device fingerprinting is a key tool in identifying fraudulent activity.CAPTCHAs are becoming less effective against sophisticated attacks.Shadow banning can be an effective strategy against spammers.Integrating agentic solutions can be quick and efficient.Compliance with regulations like GDPR is essential for businesses.The future of fraud prevention will require constant adaptation.Understanding attack vectors is vital for effective security measures.TitlesNavigating the World of AI AgentsThe Importance of Agentic ExperienceChapters00:00 Introduction to AI Agents and Security Challenges02:51 Understanding Agent Experience05:24 Agent Authentication and Security Risks08:03 Identifying Good and Bad Agents10:38 Defending Against Malicious Bots13:22 Real-World Impacts of Agentic Attacks16:07 Implementing Agentic Solutions18:52 Future of Fraud Prevention and Agentic Technology21:47 Navigating Privacy and Compliance Issues24:29 Final Thoughts on AI Agents and Security

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• AI News - Agentic Systems and Ethical Dilemmas - Sep 21 - 2025

  SummaryIn this episode, Philippe Trounev discusses significant developments in AI from the week of September 21st, 2025. Key topics include the hacking of the MCP protocol, the rise of agentic systems, the open-sourcing of AI models by major companies, and the ethical implications of AI-designed viruses. The conversation also touches on the collaborative nature of AI development and the commoditization of data in the AI landscape.TakeawaysMCP was hacked, revealing a critical vulnerability.AI is making SaaS tools more interconnected than ever.The rise of agentic systems is transforming the AI landscape.Agents may soon have autonomy in purchasing decisions.Open-sourcing AI models is becoming a competitive necessity.Data is becoming the most valuable commodity in AI.AI-designed viruses pose significant ethical concerns.Collaboration among companies is shaping AI infrastructure.The European AI landscape is lagging behind the US and China.The future of AI is intertwined with the development of agentic internet.TitlesThe Future of AI: Agentic Systems and Ethical DilemmasNavigating the New AI Landscape: Opportunities and RisksSound bites"The base models are becoming commoditized.""We are building the agentic internet.""This is a great time to launch your MCP."Chapters00:00 Introduction to AI Developments05:37 The Future of Autonomous Agents11:29 Data Sovereignty and Ethical Concerns17:09 Conclusion and Future OutlookKeywordsAI news, agentic systems, open source AI, competitive programming, European AI, data commodity, AI viruses, ethical concerns, collaborative AI development, agentic internet

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