Amir Khan, Co-Founder and COO of PureLogics, speaks with Harold Byun, CEO of BlueRock, about why AI agent security has to go beyond the prompt. They discuss runtime guardrails, agent-to-agent risk, shadow AI, and who should own AI governance in the enterprise. Harold also breaks down how enterprises can prevent agents from going rogue, manage runaway token costs, and where liability lands when something goes wrong.

PureLogics Pulse Episode Chapters:

(00:00) Introduction and Episode Setup

(02:06) What BlueRock Does and the Agentic Execution Layer

(04:07) Key Capabilities: Guardrails, MCP Registry, Visibility

(06:44) Preventing Agent Sandbox Escapes and Zero-Day Exploits

(09:05) What Sets BlueRock Apart From Other AI Security Vendors

(11:19) The Biggest Myth About Prompt-Level AI Safety

(13:15) Can Prompt Hardening Actually Stop Injection Attacks

(15:36) Securing Multi-Agent Systems and Agent Delegation

(19:03) Controlling Runaway AI Token Costs

(20:28) How RAG and Untrusted Context Defeat Guardrails

(21:23) Shadow AI Risks and Data Exfiltration

(23:30) The True Operational Cost of Weak AI Safety

(24:09) Who's Liable When an AI Agent Is Manipulated

(25:20) Who Should Own AI Governance: CIO, CISO, or CEO?(27:00) The First Step Enterprises Should Take in AI Deployment

(28:42) What AI Safety Maturity Looks Like in 2027

#PureLogics #PureLogicsPulse #Podcast #Technology #TechPodcast #AI #TechnologyPodcast #AgenticAI #AIagentsecurity #RuntimeSecurity #PromptInjection #AIgovernance

Amir Khan, Co-Founder and COO of PureLogics, speaks with Harold Byun, CEO of BlueRock, about why AI agent security has to go beyond the prompt. They discuss runtime guardrails, agent-to-agent risk, shadow AI, and who should own AI governance in the enterprise. Harold also breaks down how enterprises can prevent agents from going rogue, manage runaway token costs, and where liability lands when something goes wrong.

PureLogics Pulse Episode Chapters:(00:00) Introduction and Episode Setup(02:06) What BlueRock Does and the Agentic Execution Layer(04:07) Key Capabilities: Guardrails, MCP Registry, Visibility(06:44) Preventing Agent Sandbox Escapes and Zero-Day Exploits(09:05) What Sets BlueRock Apart From Other AI Security Vendors(11:19) The Biggest Myth About Prompt-Level AI Safety(13:15) Can Prompt Hardening Actually Stop Injection Attacks?(15:36) Securing Multi-Agent Systems and Agent Delegation(19:03) Controlling Runaway AI Token Costs(20:28) How RAG and Untrusted Context Defeat Guardrails(21:23) Shadow AI Risks and Data Exfiltration(23:30) The True Operational Cost of Weak AI Safety(24:09) Who's Liable When an AI Agent Is Manipulated(25:20) Who Should Own AI Governance: CIO, CISO, or CEO?(27:00) The First Step Enterprises Should Take in AI Deployment(28:42) What AI Safety Maturity Looks Like in 2027#PureLogics #PureLogicsPulse #Podcast #Technology #TechPodcast #AI #TechnologyPodcast #AgenticAI #AIagentsecurity #RuntimeSecurity #PromptInjection #AIgovernance

Muhammad Atif, President and CTO at PureLogics, speaks with Felice Shieh, Chief Business Officer and Head of AI Product at Headlamp Health, about closing the gap between AI hype and real clinical execution. They discuss building Lumos AI for precision neuroscience, earning clinician trust, and why domain-specific AI outperforms generalized models in healthcare.

PureLogics Pulse Episode Chapters:

00:00 Introduction to Felice Shieh and Headlamp Health

01:30 Felice's journey from bench science to business development at Pfizer and J&J

04:00 What separates a validated platform from an interesting demo

06:15 The biggest technical hurdles in building Lumos AI

07:45 Why agentic AI is the next big step for healthcare

09:45 Hybrid architecture and proprietary models explained

10:20 What longitudinal multimodal data means in plain English

11:35 Moving beyond trial and error in neuropsychiatry

13:00 Who Headlamp Health's customers and partners are

14:15 How compliance and data governance are managed

17:00 Workflow automation versus an intelligence layer

19:15 How Headlamp Health measures whether Lumos AI is working

21:30 The biggest misconceptions about healthcare AI adoption

23:30 Why AI pilots fail to scale into real-world adoption

26:00 Where AI initiatives lose momentum in large organizations

27:00 Building clinical trust in algorithm-driven recommendations

28:10 Rapid fire round with Felice Shieh

30:00 Advice for leaders stuck on cost, complexity, or change

31:00 Closing thoughts

#PureLogics #PureLogicsPulse #Podcast #Technology #TechPodcast #AI #TechnologyPodcast #HealthcareAI #AgenticAI #PrecisionMedicine

Stewart Gandolf, CEO of Healthcare Success, joins Muhammad Atif, President and CTO of PureLogics, to discuss AI adoption in healthcare, from AI visibility and patient trust to reputation management and the future of paid search.

PureLogics Pulse Episode Chapters:

(00:00) Introduction to Stewart Gandolf and Healthcare Success

(00:44) Stewart's Journey From Marketing to Founding the Firm

(03:20) Two Decades of Change in Healthcare Marketing

(06:52) The AI Visibility Stack: Why SEO Isn't Enough

(12:51) How Local Presence, Social, and Content Influence LLM Search

(16:42) Is Google Declining or Growing in the Age of ChatGPT?(22:40) OpenAI's Ad Engine and Healthcare AI Liability Risks

(25:48) Why Reputation Management Matters More at Scale

(28:26) Where AI Is Transforming Healthcare Operations Today

(35:03) What Separates AI Winners From Losers in Healthcare

(40:26) Rapid Fire Round With Stewart Gandolf

#PureLogics #PureLogicsPulse #Podcast #Technology #TechPodcast #AI #TechnologyPodcast #HealthcareAI #HealthcareMarketing #AIinHealthcare

Justin Trugman, Co-founder and Head of Technology at BetterFutureLabs, a venture studio building multi-agent AI products across quality engineering and other domains, joins Muhammad Atif, President and CTO of PureLogics, to explain why traditional QA can't keep pace with faster software shipping. They cover AI-generated test coverage, model selection, and where humans still add the most value.

PureLogics Pulse Episode Chapters:

(00:00) Cold Open: Trust and Auditability in AI QA

(01:20) Introduction: Justin Trugman and BetterFutureLabs

(01:39) Justin's Journey From CDNs to Multi-Agent AI

(05:06) Where AI Is Genuinely Changing QA vs Just Hype

(06:36) How the AI Testing Agent Was Built

(09:06) Mapping User Journeys Into Self-Healing Test Cases

(10:35) How Test Execution and Verification Agents Work

(10:47) How Pricing Works Based on Test Execution

(12:09) Choosing the Right AI Model for Each Test Step

(13:42) What Traditional QA Teams Struggle With Most

(14:31) Where CTOs Should Start Their AI QA Roadmap

(17:02) What Types of Testing the Tool Currently Covers

(19:04) Where Human QA Engineers Add the Most Value

(20:47) The Financial Upside of Fewer Defects, Faster Shipping

(22:20) How Soon to Expect Measurable Business Results

(24:52) What Separates High-Performing Quality Engineers Ahead

(26:51) The Underestimated Cultural Shift to Autonomous QA

(29:02) Trust, Governance and Auditability in Regulated Industries

(31:01) What to Redesign First for a 2027 QA Strategy

(32:57) AI Software Factories vs Traditional Iterative SDLC

(35:58) Rapid Fire: Mistakes, Predictions and Priorities

(38:12) The Most Expensive Quality Engineering Problem Today

#AIQualityEngineering #AIinQATesting #AITestAutomation #MultiAgentAISystems #QAEngineeringTrends #AISoftwareDevelopment #ShiftLeftTesting #SoftwareFactories #AICodingAgents #TestCaseAutomation #AIinSoftwareTesting #AIQATools #TechPodcast

Denis Whelan, CEO of Documo, a company transforming how healthcare organizations process unstructured communication like faxes and paper documents, joins Amir Khan, Co-Founder and COO of PureLogics, to explain why fax still dominates healthcare and how intelligent document processing is finally changing that. They cover AI extraction, HIPAA compliance, and EHR interoperability.

PureLogics Pulse Episode Chapters:

(00:00) Introduction: Denis Whelan and Documo's Origin

(02:01) Why Fax Is Still the Backbone of Healthcare

(03:39) Turning Unstructured Communication Into Action

(05:31) The Technology Behind Intelligent Document Processing

(09:53) Why Human-in-the-Loop Validation Still Matters

(11:43) Managing Liability and PHI Risk in Healthcare AI

(13:25) Solving Interoperability Across Hundreds of EHRs

(17:00) Do EHRs Resist Integration or Embrace Innovation?

(18:16) Leading Change Management With Empathy First

(20:38) How Manual Workflows Create a Scalability Ceiling

(23:26) Selling Automation to Skeptical Healthcare Leaders

(24:31) How SOC 2 and HIPAA Compliance Actually Works

(26:37) Documo's Roadmap for the Next Two to Three Years

(28:29) Building With Private Models vs Commercial AI

#PureLogics #PureLogicsPulse #Podcast #Technology #TechPodcast #AI #TechnologyPodcast #HealthcareAI #HIPAA #Interoperability

Todd Barr, CEO of Axonis, a company built on federated learning and decision intelligence for distributed, sensitive enterprise data, joins Amir Khan, Co-Founder and COO of PureLogics, to explain why data centralization no longer fits the demands of modern AI. They cover decision intelligence, agent security, and why AI still isn't smart enough to replace human judgment.

PureLogics Pulse Episode Chapters:

(00:00) Cold Open: Why Data Centralization Is a Problem

(01:14) Introduction: Todd Barr and Axonis

(01:27) How Axonis Spun Out of a Defense Integrator

(04:19) Why Federated Architecture Beats Centralization

(06:48) Business Intelligence vs Decision Intelligence

(08:18) Solving Big Data Fatigue With AI Guardrails

(09:55) What Are Cryptographically Sealed Decision Artifacts

(12:45) Does This Solve the AI Black Box Problem?

(14:07) Protecting Data With Attribute-Based Access Control

(15:56) Addressing Latency in Federated Systems

(17:49) The Biggest Misconception About Federated AI

(19:11) How Axonis Compares to Databricks and Snowflake

(20:33) What It Takes to Deploy in Two to Five Days

(22:09) The Political Problem Behind Data Silos

(23:35) Does Federated Architecture Solve Monolith Decomposition?

(24:25) Why AI and Humans Need to Co-Evolve

(26:14) Is AGI Imminent or Just a Buzzword?

(28:40) Why AI Still Isn't Confident or Fully Reliable

(29:06) Improving AI Reasoning Through Better Constraints

(29:55) Axonis' Roadmap for the Next Two to Three Years

#PureLogics #PureLogicsPulse #Podcast #Technology #TechPodcast #AI #TechnologyPodcast #DecisionIntelligence #FederatedLearning #EnterpriseAI

Sachin Kamdar, Co-Founder and CEO of Elvex, an agent platform that helps enterprises turn AI spend into a compounding organizational asset, joins Muhammad Atif, President and CTO of PureLogics, to explain why most companies struggle to scale AI adoption beyond a handful of power users. They cover governance, hiring trends, and what a real 90-day AI roadmap looks like.

PureLogics Pulse Episode Chapters:

00:00 Cold Open: Should Leaders Focus on AI Literacy or AI Tools

00:11 Introduction: Sachin Kamdar and Elvex

01:19 Why Leaders Shouldn't Focus Only on AI Productivity

03:13 Who Elvex Works With and Its Core Focus

06:14 Managing Roles, Permissions and Governance in AI Platforms

07:46 The Ideal Low-Risk Department for a First AI Pilot

08:54 Automating Broken Processes vs Redesigning Work

10:18 Why AI-Native Companies Are Hiring Faster

12:02 Building an AI Culture Beyond a Small Task Force

14:23 Overcoming Employee Fear That AI Is a Threat

18:05 Why Some Companies Are Rehiring After AI Layoffs

20:18 What Happens to Companies That Delay AI Adoption

22:03 The Biggest Misconceptions CEOs Have About AI Adoption

23:32 KPIs and Metrics for Measuring AI Success

24:31 Solving Legacy Data Access for AI Agents

26:10 How Elvex Recommends the Right Model for Each Task

27:35 Aligning Human Employees With AI Agents

28:55 Chinese AI Models and Data Security Concerns

30:43 How Elvex Handles Compliance in Regulated Industries

31:31 Rapid Fire: AI Readiness, Fear and Enablement Signals

32:44 What a Realistic 90-Day AI Roadmap Looks Like

33:53 Elvex's Vision for the Next Five Years

35:05 Sachin's Advice for Leaders Driving AI Adoption

#PureLogics #PureLogicsPulse #Podcast #Technology #TechPodcast #AI #TechnologyPodcast #AIWorkforce #AIAdoption #EnterpriseAI

Muhammad Atif, President and CTO at PureLogics, talks with Brennan Erbz, Founder and CEO of Flikai.com, about what really happens when companies deploy autonomous AI agents, covering context management, technical debt, evolving roles, and the metrics that actually matter.

PureLogics Pulse Episode Chapters:

(00:00) Introduction and Episode Preview

(00:33) Meet Brennan Erbz and Flick

(01:41) From Snapchat to Founding HashFleets

(03:27) When Brennan Realized AI Tools Weren't Enough

(04:12) Challenges Scaling AI for Thousands of Users

(05:19) What Executives Learn Too Late About AI Agents

(06:18) Flick's Virtual File System and Memory Layer

(07:44) Model Orchestration: Lite, Economy, and Max Modes

(08:31) Misconceptions About Agent Oversight

(09:41) What Executives Misunderstand About Delegation

(11:41) Security, SOC Compliance, and Data Protection

(13:41) The Fundamental Assumption About Work That's Wrong

(14:52) Rethinking KPIs Beyond Burning Tokens

(19:06) Flick's Early Vibe-Coding Roots With Cursor

(21:12) Managing AI-Driven Technical Debt

(24:17) Agent, Auto, Chat, and Manual Modes Explained

(29:03) Flick's Five-Year Vision for AI Entertainment

(30:19) Advice for Founders Starting in AI

#PureLogics #PureLogicsPulse #Podcast #Technology #TechPodcast #AI #TechnologyPodcast #AIAgents #AgenticAI #FlickAI

Amir Khan, Co-Founder and COO of PureLogics, is joined by Ben Durham-Kilcullen, Chief AI Officer at Ondaro, an elite ServiceNow partner, to unpack why enterprise AI pilots stall and what it takes to turn AI investment into measurable business value.

PureLogics Pulse Episode Chapters:

(00:00) Introduction and Welcome

(06:17) What Ondaro Does as a ServiceNow Partner

(07:10) Inside the Chief AI Officer Role

(07:58) Why Enterprises Get Stuck in Pilot Mode

(09:39) Signals That AI Investment Will Deliver Value

(12:07) KPIs That Prove AI Business Value

(14:03) The Case for a Lean Startup Approach to AI

(14:55) Change Management and Scaling AI Enterprise-Wide

(19:26) Who Is Accountable When AI Makes a Fatal Mistake

(21:25) Controlling AI Costs Before They Spiral

(25:01) Building the Right Data Strategy for AI

(29:06) Should Regulated Industries Use Synthetic Data

(30:38) Tackling the AI Hallucination Problem

(35:20) The Case for Keeping Humans in the Loop

(37:58) Why the Best Engineers Are Also Business Analysts

(41:53) Hiring Traits That Matter in the Age of AI

(46:08) The One Metric Every Executive Should Track

(47:32) Closing Thoughts

#PureLogics #PureLogicsPulse #Podcast #Technology #TechPodcast #AI #TechnologyPodcast #EnterpriseAI #ServiceNow #AIStrategy