So What About AI Agents

EP 48 – Agentic DevOps | Featuring Scott Rowlandson (NetOrca)In this episode, Philippe Trounev sits down with Scott Rowlandson from NetOrca to unpack one of the most urgent questions in technology today:We dive deep into the evolution of DevOps, the rise of AI agent orchestration, and how automation is reshaping engineering teams across regulated industries like financial services.Scott brings real-world experience from working in high-compliance environments—where automation isn’t just helpful… it's essential. Together, we explore:How automation is changing the DevOps landscapeWhy DevOps roles aren’t disappearing—but evolvingAI agents and the future of engineering workflowsReducing delivery times in complex tech stacksWhy regulated industries rely heavily on automation“Human-in-the-loop” DevOps modelsWhat skills DevOps engineers MUST develop to stay relevantAutomation will eliminate some manual DevOps tasks.But demand for skilled DevOps engineers is increasing, not shrinking.AI agents will drastically accelerate deployment, compliance, and operations.DevOps pros who embrace orchestration and automation will lead the next era.The future of engineering is hybrid: AI + humans working together.Is AI automation about to replace traditional DevOps roles?🔥 Key Topics Covered🎯 Main Takeaways

In this insightful conversation, Philippe Trounev and Padraic O'Reilly discuss the evolving landscape of compliance and automation in cybersecurity. They explore the challenges and opportunities presented by AI agents, the importance of quality assurance, and the role of human oversight in maintaining effective compliance systems. The discussion also touches on the future of agentic compliance and the balance between automation and human involvement.https://www.cybersaint.ioand https://www.docsie.ioJoin us on Discord https://discord.gg/ceKz5d4b

SummaryIn this conversation, Philippe Trounev and Daniel Horowitz discuss the evolving landscape of SEO in the age of AI. They explore how traditional SEO practices are being disrupted by AI search results, the importance of adapting strategies to focus on middle and bottom funnel content, and the necessity of building topical authority and internal linking structures. Daniel shares insights on best practices for optimizing for AI search, emphasizing the need for comprehensive and specific content, as well as the importance of schema markup. The discussion highlights the challenges and opportunities presented by AI in the SEO field, and the need for continuous adaptation to stay relevant.TakeawaysSEO has shifted to a fragmented search landscape due to AI.Top of the funnel content is becoming less effective.Internal linking is crucial for AI crawlers.Building topical authority is essential for visibility.Content must be specific and comprehensive to rank well.AI search results are easier to manipulate, leading to disinformation.User behavior is changing; quick answers are preferred.The visibility model is replacing traditional click-through models.Schema markup is increasingly important for AI search optimization.The role of SEO professionals is evolving to be more strategic. TitlesNavigating the New SEO Landscape with AIThe Death of Top Funnel SEO StrategiesSound bites"Top of the funnel is basically dead.""You need to build topical authority.""Less is more for AI crawlers."Chapters00:00 Introduction to AI and SEO Strategies11:52 Building Middle and Bottom Funnel Content Strategies21:55 Implementing Best Practices for AI SEO27:31 The Future of SEO and AI IntegrationKeywordsAI, SEO, search optimization, digital marketing, content strategy, AI search, visibility model, schema markup, internal linking, topical authority

KeywordsAI projects, hype vs reality, return on investment, success metrics, narrow use casesSummaryIn this conversation, Ammar Bhaisaheb discusses the critical aspects of initiating AI projects, emphasizing the importance of distinguishing between hype and reality. He advocates for a focused approach, where projects are defined by narrow use cases and measurable goals. The conversation highlights the necessity of modeling return on investment before embarking on any AI initiative, ensuring that projects are viable and worth the investment of time and resources.TakeawaysThe very first chat with clients is to separate hype versus reality.AI projects should be approached with a scalpel, not a will.Success in AI requires a narrow, super use case.Clear goals must be measurable for AI projects.Modeling return on investment is crucial before coding.Projects should aim for a three to five X return on investment.If a project can't deliver ROI, it's not worth pursuing.Focus on measurable outcomes to ensure project success.Narrow use cases lead to better-defined AI projects.Invest time only in projects that meet ROI criteria.TitlesNavigating the AI Hype: A Practical ApproachThe Scalpel Method: Precision in AI ProjectsSound bites"Separate the hype versus reality in AI.""Pick a narrow, super use case.""Clear goal that you can actually measure."Chapters00:00 Introduction to AI Agents and Their Impact00:07 Choosing the Right Use Cases for AI Agents00:43 Data: The Foundation of AI Success

John Brazier spent 25 years leading Oracle's technical documentation team, managing 394 books translated into 10+ languages. Today we discuss why AI-generated documentation fails at enterprise scale, the $12M translation problem, and why technical writers are evolving into "Knowledge Orchestrators."🔑 Key Topics:- Why enterprise documentation requires human wisdom, not just AI knowledge- The $500K cost of translating a single 500,000-word manual- How one comma can trigger a $40,000 retranslation- Revenue recognition regulations that make AI documentation illegal- The future role: Knowledge Orchestrator vs Technical Writer📊 Quick Stats:- 394 books in Oracle's documentation library- $12M initial translation cost for 6-product logistics suite- 500,000 translatable words per book- Translation costs: $0.06-$0.30 per word⏱️ Timestamps:00:00 Introduction02:28 The Scale of Documentation at Oracle04:41 Translation Challenges ($12M Problem)09:29 Knowledge vs Wisdom in Technical Writing16:36 The Future of Technical Writers31:39 Why Human Oversight Is Non-Negotiable#TechnicalWriting #AI #Documentation #EnterpriseAI #FutureOfWork

KeywordsAI, government contracts, agentic AI, compliance, certifications, small business, technology, security, federal government, entrepreneurshipSummaryIn this conversation, Philippe Trounev and Cordell Robinson discuss the burgeoning field of agentic AI and the significant investment the US government is making in this area. They explore the steps entrepreneurs need to take to sell AI agents to the government, including navigating the registration process, understanding compliance and certification requirements, and the lifecycle of government contracts. Cordell shares insights on the types of AI solutions in demand, the importance of security, and the advantages of partnering with established firms to access government contracts. The discussion emphasizes the potential for small businesses to thrive in this niche market as the government increasingly seeks innovative AI solutions.TakeawaysThe US government is heavily investing in agentic AI.Entrepreneurs must register their businesses on sam.gov to sell to the government.Compliance with NIST 800-171 is crucial for DoD contracts.The certification process can take several months, so start early.Government contracts often require a competitive bidding process.Selling existing products may involve customization for government needs.Security audits are essential for government contracts.Partnerships can enhance credibility and access to government opportunities.There is a growing demand for AI solutions in government, especially in security.Small businesses have a unique opportunity to enter the government contracting space.TitlesUnlocking Government Contracts for AI SolutionsNavigating the Complex World of Government ContractingSound bites"You have to register your business on sam.gov.""You can bid on contracts for the government.""NIST 800171 is your in-house security audit."Chapters00:00 The Rise of Agentic AI in Government02:56 Navigating Government Contracts: The Basics05:17 Compliance and Certifications for Small Businesses08:17 Bidding on Government Contracts: The Process11:00 Partnerships and Accelerating Government Sales13:43 Financial Aspects of Government Contracts16:43 Security Requirements for Government Products19:29 The Advantages of Selling to the Government22:02 Identifying High-Demand Use Cases24:50 Cost and Competition in the Government Contract Space

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

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

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

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