In this episode of Open Tech Talks, we delve into the critical topics of AI security, explainability, and the risks associated with agentic AI. As organizations adopt Generative AI and Large Language Models (LLMs), ensuring safety, trust, and responsible usage becomes essential. This conversation covers how runtime protection works as a proxy between users and AI models, why explainability is key to user trust, and how cybersecurity teams are becoming central to AI innovation.

Chapters

00:00 Introduction to AI Security and eIceberg
02:45 The Evolution of AI Explainability
05:58 Runtime Protection and AI Safety
07:46 Adoption Patterns in AI Security
10:51 Agentic AI: Risks and Management
13:47 Building Effective Agentic AI Workflows
16:42 Governance and Compliance in AI
19:37 The Role of Cybersecurity in AI Innovation
22:36 Lessons Learned and Future Directions

Episode # 166

He's founded a next-generation AI cybersecurity company that’s revolutionizing how we approach digital defense. With a strong background in enterprise tech and a visionary outlook on the future of AI, Alexander is doing more than just developing tools — he’s restoring trust in an era of automation.

• Website: AIceberg.ai
• Linkedin: Alexander Schlager

What Listeners Will Learn:

• Why real-time AI security and runtime protection are essential for safe deployments
• How explainable AI builds trust with users and regulators
• The unique risks of agentic AI and how to manage them responsibly
• Why AI safety and governance are becoming strategic priorities for companies
• How education, awareness, and upskilling help close the AI skills gap
• Why natural language processing (NLP) is becoming the default interface for enterprise technology

Keywords:

AI security, generative AI, agentic AI, explainability, runtime protection, cybersecurity, compliance, AI governance, machine learning

• AIceberg.ai

Today, I have brought you an expert who has invested millions in startups, and he will share insights on the evolving landscape of startup investments, particularly in the realm of generative AI.

He discusses his journey from entrepreneurship to venture capital, the importance of learning from failures, and the traits that make startups successful. He also offers valuable advice for aspiring founders on how to improve their chances of success.

Chapters

00:00 Introduction to Gabriel Jorsson and Lobster Capital
02:13 The Shift to AI: Observations from Y Combinator
05:40 Investment Strategies: Beyond Y Combinator
06:22 Learning from Failures: Notable Investment Stories
09:06 Key Traits of Successful Startups
10:29 Generative AI: Trends and Insights
11:24 Evaluating Founders: Traits that Matter
11:55 Advice for Aspiring Entrepreneurs

Episode # 165

He is the Founder and Managing Partner at Lobster Capital, with over $40 million invested in more than 100 Y Combinator startups. As a serial entrepreneur with three exits, he has taken a bootstrapping approach to achieving $1M ARR with zero employees, and sold his first startup at the age of 25.

• Website: Lobster Capital
• YouTube: Lobster Capital

What Listeners Will Learn:

• Learn how Gabriel transitioned from running startups to becoming an angel investor and eventually a venture capitalist at Lobster Capital.

• Understand how personal experiences as a founder shape investment decisions.

• Gain perspective on how Y Combinator has increased its focus on AI startups.

• Recognize why AI represents one of the most significant technological shifts of our time and why investors are paying close attention.

• Hear how failed investments are not wasted but instead offer valuable lessons.

• Learn how to extract insights from what doesn’t work to refine strategies and decision-making.

• Discover the common qualities Gabriel looks for in startups: deep understanding of market needs, creativity with limited resources, and resilience.

• Learn why evaluating founders’ commitment, adaptability, and long-term vision is critical for success.

• Understand why startups should anchor their efforts on creating measurable value for customers rather than chasing hype.

• Get practical advice on how value creation improves both user adoption and investor confidence.

• Explore how generative AI is opening new opportunities for innovation.

• Learn why staying updated and flexible is essential to take advantage of the rapidly shifting AI environment.

• Gabriel emphasizes the importance of being a lifelong learner as a founder.

• Discover how continuous adaptation, openness to feedback, and iteration are vital for building enduring companies.

• Lobster Capital

In this conversation, Aarti Anand shares her journey from a traditional 9 to 5 job to becoming an entrepreneur with Kodenyx AI, focusing on how AI and automation can help businesses thrive. She discusses the importance of identifying business patterns, shares success stories of AI implementations, and highlights the challenges organizations face when adopting AI.

Aarti emphasizes the importance of a proactive mindset, the significance of starting small, and the skills necessary for effective AI project management. She also highlights her current business success and future goals, showcasing the potential of AI in transforming business operations.

Episode # 164

Aarti was a product leader for 15 years and one day, decided to let it all go and start Kodenyx AI.

• Website: Kodenyx AI
• YouTube: Aarti Anand

What Listeners Will Learn:

• How to identify common business challenges through conversations with other entrepreneurs.
• AI and automation became tools for creating a desired lifestyle.
• The importance of defaulting to action rather than over-planning.
• Lead generation and time-saving solutions are key selling points for AI services.
• Starting with service allows for the productization of successful solutions.
• Organizations face knowledge gaps and team pushback when adopting AI.
• A proactive mindset is crucial for success in AI projects.
• Fear of change can hinder progress, but the right mindset can overcome it.

Chapters

00:00 Introduction to Aarti Anand and Kodenyx AI
02:45 The Journey from 9 to 5 to Entrepreneurship
05:49 Leveraging AI for Business Automation
08:36 Common Patterns in AI Implementation
11:34 Success Stories and ROI from AI Solutions
14:37 Challenges in Selling AI Solutions
17:31 Strategies for Successful AI Adoption
20:13 Identifying Skills for AI Projects
23:08 Creating a Culture of Innovation
26:10 Future Vision and Business Growth
27:58 Conclusion and How to Connect with Aarti

• Kodenyx AI