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What would you do if your phone rang and the caller ID showed your own company? Would you pick up? Would you help the person on the other end? This Cybersecurity Awareness Month, Ron goes solo to break down a breach that started with that exact call. Attackers spoofed Astrana Health’s main corporate phone number, posed as coworkers, and talked their way into systems connected to roughly 1.5 million patients. Ron starts with a rewind from phone books to data brokers, including a live search on a people-search site that turned up his own family. From there he walks through the SEC filing, sends a swarm of AI research agents after the public record, and lines up the suspects behind the attack. The uncomfortable part is that we spent a decade training people to spot a bad email while attackers moved to the phone. Voice phishing is now the second most common way attackers get in, and resetting credentials doesn’t fix the instinct to help when a familiar number calls. Ron closes with three practical ways to stop making it easy for them, starting with one simple habit: hang up and call back. Impactful Moments 00:00 - Introduction 02:25 - The rewind: from phone books to data brokers 03:15 - What a people-search site found on Ron’s family 05:30 - A breach that started with a phone call 06:15 - Inside Astrana Health’s SEC filing 07:55 - Why spoofing the main number changes everything 09:05 - How the attack likely played out 11:35 - Technical fixes for a human attack 12:50 - The time Ron got got 13:35 - Why attackers want healthcare data 15:15 - 1.5 million patients’ worth of exposure 17:15 - Voice phishing climbs to #2 in M-Trends 19:35 - Three ways not to make it easy for them 21:05 - How to run a phone drill Links Check out our upcoming events: https://www.hackervalley.com/livestreams Love Hacker Valley Studio? Pick up some swag: https://store.hackervalley.com Become a sponsor of the show: https://hackervalley.com/work-with-us/

What happens when your marketing team, your sales team, and the person down the hall can all ship a full app from a single prompt? And what is that app quietly connected to? In this episode, Ron sits down with Roi Nisimi, Principal Security Researcher, and Yonatan Levi, AI Security Researcher, of Orca Security. They built apps on the most popular AppGen platforms and then tried to break into them. Ron, Roi, and Yonatan get into what's really running behind a prompt-built app, and what Orca's team found when they went looking for trouble. In one case, a single misconfigured app gave them a way into every integration connected to the workspace. They also explain why Supabase has become a favorite of builders and attackers alike, and share the security questions they ask before sending a prompt. The bigger tension is speed. With no code review between the prompt and production, Roi argues that velocity has broken the threat models that security relied on for years. And when the agent makes every decision, nobody fully understands what was built, not even the security researchers. Impactful Moments 00:00 - Introduction 02:15 - Busting the vibe coding myth 04:40 - Inside Orca's State of AI report 05:55 - The unpatched AI SDK problem 07:40 - What is AppGen? 10:20 - Who builds the backend? 12:25 - Inside Orca's AppGen hackathon 14:10 - Thinking like a citizen developer 15:15 - Who's really building these apps 19:25 - One misconfigured app, every integration exposed 20:45 - Why Supabase is the holy grail 23:00 - Checking your own exposure 24:30 - Why the SDLC is breaking down 26:55 - Prompting for a secure app 28:15 - Don't hand the agent every decision 31:20 - Staying sharp by never stopping learning 33:35 - From protecting environments to protecting apps Links Connect with Roi Nisimi on LinkedIn: https://www.linkedin.com/in/roinisimi/  Connect with Yonatan Levi on LinkedIn: https://www.linkedin.com/in/yonatan-levi-b22168258/  Register for Orca’s virtual Builder Exchange: https://orca.security/builder-exchange/?utm_source=HVN&utm_medium=3rd-part Read the security findings in Orca’s 2026 State of AI Security Report: https://orca.security/lp/2026-state-of-ai-security-report/?utm_source=HVN&utm_medium=3rd-party  – Check out our upcoming events: https://www.hackervalley.com/livestreams  Love Hacker Valley Studio? Pick up some swag: https://store.hackervalley.com  Become a sponsor of the show: https://hackervalley.com/work-with-us/

Your newest hire has a Google Workspace account, a Slack login and a laptop. It never sleeps, and it never asks before it acts. So who owns its identity? Ron welcomes back Ashish Rajan, CISO at Techriot.io and researcher with AI Security Lab, who spent 17 years in identity, cloud security and security leadership. His take: vendors haven't solved AI identity, and the open questions are on your side, not the product's. Ashish got into identity after failing his OSCP three times: if he couldn't break in, he wouldn't let anyone else in. Now he reviews Ron's own setup, where Hacker Valley's AI agent, Jennifer Romani, has her own accounts just like an employee. Ashish explains how that call changes from a one-laptop small business to an enterprise where every developer's machine acts like five. They also cover the Gemini breach headlines, swarms of agents and AI Security Lab, which Ashish describes as what OWASP is for AppSec, but for AI security. The uncomfortable truth: defenders have the same models attackers do, but attackers don't wait for a pull request review. Ashish calls that a people problem, not a technology problem. He also shares the question he asks before handing anything to an AI agent: can this be reversed? Impactful Moments 00:00 - Introduction 02:30 - Busting a myth: AI identity isn't solved 05:30 - Three OSCP attempts and a pivot to IAM 07:00 - Why AI identity is more complex than ever 09:15 - Hot or not: giving an AI agent its own accounts 11:10 - One laptop, five machines in the enterprise 12:50 - AI gateways and developer observability 14:05 - Where Ashish would spend his AI security budget 18:20 - Why defenders don't hack themselves first 19:05 - The real problem is people 22:15 - Swarms of agents are coming 23:50 - What AI Security Lab is building 26:35 - Never share your credit card with AI 28:40 - Ron's callback: can it be reversed? Links Connect with Ashish Rajan on LinkedIn: https://www.linkedin.com/in/ashishrajan/ Listen to Ashish's first Hacker Valley Studio episode: https://www.podbean.com/pw/pbblog-bpaij-51b280 –  Check out our upcoming events: https://www.hackervalley.com/livestreams  Love Hacker Valley Studio? Pick up some swag: https://store.hackervalley.com  Become a sponsor of the show: https://hackervalley.com/work-with-us/

What if someone got full admin access to your company's platform, including your CRM, your payments app, and your private messages, and the only tool they used was an AI chatbot? Can AI models really find zero-days on their own, or is that just the headline? And if AI can do the attacker's job, who's actually holding the scissors? In this solo episode, Ron Eddings shares his own methodology for offensive assessments with AI. He talks about the models he trusts, the tools he uses to get agents working together, and a real assessment where his agents turned SQL read access into admin control and unlocked the API keys stored inside. Ron also calls out what's hype and what's real with today's models, and why the agent still needs a skilled person behind it. For defenders, Ron covers what attackers go after once they're in, and why the fundamentals like asset inventory are still where every strong security program starts.  He closes with the bigger picture: anyone, good or bad, now has powerful intelligence on hand, and it's on all of us to look out for each other. Impactful Moments 00:00 - Introduction 02:25 - Can AI Really Find Zero-Days Alone? 04:20 - The Real Danger Is Human Intent 05:00 - Why Grok 4.6 Tops Ron's List 07:55 - Ron's Three-Model Assessment Workflow 09:50 - Maestro, Interceptor, and Agent Ensembles 11:20 - Privilege Escalation and Persistence With LLMs 12:50 - Why AI Hacking Feels Like Cheating 14:20 - Ron Called Automated Security in 2015 16:05 - The Lazy Way to Hack 17:55 - From SQL Read Access to Admin 21:05 - What Attackers Want After Getting In 23:40 - Asset Inventory Is Security Flossing 27:05 - Why AI Is Like Scissors 29:05 - Waymos, Robotaxis, and Physical AI Risk Links Check out our upcoming events: https://www.hackervalley.com/livestreams  Love Hacker Valley Studio? Pick up some swag: https://store.hackervalley.com  Become a sponsor of the show: https://hackervalley.com/work-with-us/

Every AI agent in your environment inherits someone's permissions, and most teams have no idea what those agents are actually doing with them. Amir Ofek, CEO and co-founder of Aizome, shares how to make every agent accountable before the damage shows up as a $150,000 bill. In this episode, Amir explains why human and machine identity tools both fail for AI, why agents act more like eager, naive interns than employees, and how a new category called ARISE (Agentic Runtime Identity Security Enforcement) is emerging to fix it.  This one's for anyone building with AI agents right now (so, most of us). Amir's take: the biggest danger isn't a breach. It's agents quietly doing the wrong thing at scale while nobody's watching. Impactful Moments 00:00 - Introduction 02:30 - Busting the Myth: "I Know What My Agents Are Doing" 05:30 - The Samurai Story Behind Aizome's Name 08:25 - Why Not All AI Agents Are Born Equal 11:15 - Where Enterprises Are Actually Deploying AI Agents Today 14:25 - What Claude Cowork Inherits Without You Realizing It 17:15 - Machine Identity vs. Human Identity vs. AI Identity 19:35 - Treating AI Agents Like Eager, Naive Interns 23:00 - The Biggest AI Risk Isn't Security, It's Cost 25:45 - Meet Ito: Aizome's Supervisor Agent 26:40 - Inside the New ARISE Category 33:35 - What Aizome Actually Does 35:30 - The Callback: Was the Myth Wrong, or Dangerously Wrong? Links Connect with Amir Ofek on LinkedIn: https://www.linkedin.com/in/amirofek/ Learn more about Aizome: https://www.aizome.ai/  –  Check out our upcoming events: https://www.hackervalley.com/livestreams  Love Hacker Valley Studio? Pick up some swag: https://store.hackervalley.com  Become a sponsor of the show: https://hackervalley.com/work-with-us/

Cybersecurity has survived cloud, mobile, and a dozen other "biggest disruptions of our lifetime," and each one felt unprecedented in the moment. In this episode, Ron sits down with Alyssa "Dr. Jay" Abdullah, Deputy CISO at MasterCard, who started her career as a radio DJ and has since worked inside the White House, Lockheed Martin, Stryker, and Xerox before landing in payments security. Ron and Dr. Jay trace her path from spinning records to securing global payment infrastructure, and dig into why she'd argue cloud, not AI, was the real turning point in her career. They cover what convergence actually looks like when AI, cloud, and synthetic identity start overlapping, why curiosity matters more than fast answers, and what it means when employees start bringing their own trained AI agents to work. The conversation closes on something most teams haven't fully reckoned with yet: AI agents that carry their own identity, independent of the humans who built them, and what that shift demands from the people responsible for securing them. Impactful Moments 00:00 - Introduction 02:25 - Busting the AI hype myth 04:40 - From radio DJ to Dr. Jay 06:10 - A day in the life as Deputy CISO at Mastercard 07:25 - Why AI hasn't disrupted her world 08:50 - White House tech through the decades 12:30 - Smartphones, wearables, and what's next 13:30 - Defining convergence for 2026 14:50 - When AI meets quantum computing 17:20 - Bring your own AI agent to work 19:00 - Negotiating salary in tokens 21:05 - Teaching curiosity over answers 23:50 - Overhype equals overtrust 27:10 - The future of tier one and autonomous SOC 29:50 - Hot take: AI in the SOC 31:35 - Predictions: AI identities and the human outside the loop Links Connect with Alissa "Dr. Jay" Abdullah on LinkedIn: https://www.linkedin.com/in/dralissajay/  –  Check out our upcoming events: https://www.hackervalley.com/livestreams    Love Hacker Valley Studio? Pick up some swag: https://store.hackervalley.com    Become a sponsor of the show: https://hackervalley.com/work-with-us/

Security teams spent decades begging for more logs. Now the enterprise is generating petabytes a day, and the thing drowning in it isn't just the SOC anymore, it's your AI agents too. In this episode, Ron sits down with Myke Lyons, CISO at Cribl, who cut his teeth in telemetry and logging decades ago and has landed right back there in the age of AI. Ron and Myke dig into why most telemetry failures aren't data problems at all, they're decisions nobody made about why the logs are being collected in the first place. Myke breaks down what to track on every agent in your environment, why token spend belongs on the security team's plate, why dashboards are quietly dying, and why treating an AI agent like just another employee is a mistake that's going to bite security teams hard. Underneath it all is one question Myke keeps circling back to: do you actually know what normal looks like for every agent in your environment? Impactful Moments 00:00 - Introduction 01:50 - Myth Busting: AI Agents Aren't Just Another User Account 04:25 - Meet Myke Lyons, CISO at Cribl 05:05 - What it means to run security at a telemetry company 06:10 - From gigabytes of logs at GE to petabytes today 07:45 - MITRE ATT&CK, Cribl's new APEX framework, and orienting telemetry 10:20 - Why most telemetry problems are decision problems, not data problems 13:20 - OCSF and how security teams are rethinking their schemas 14:25 - Why the dashboard is dying 17:35 - What Myke wants to track about every AI agent 20:10 - How to spot an agent going rogue 23:15 - Making your data AI-ready and the case for schematizing everything 27:10 - Tokenomics: treating AI spend as a security responsibility 29:05 - The non-negotiable logs every org should be collecting 31:50 - Hot takes: build vs. buy, tier two to three, and Myke's daily AI briefing 33:35 - Closing thoughts and outro Links Connect with Myke Lyons on LinkedIn: https://www.linkedin.com/in/mykelyons/ Learn more about Cribl: https://cribl.io/  –  Check out our upcoming events: https://www.hackervalley.com/livestreams   Love Hacker Valley Studio? Pick up some swag: https://store.hackervalley.com   Become a sponsor of the show: https://hackervalley.com/work-with-us/

A year ago, the average employee held about 30 OAuth grants. Today that number has risen to 88, and it isn't slowing down. Ron sits down with Russell Spitler, co-founder and CEO of Nudge Security, and Richard Penshorn, a senior security engineer at a top financial services company, to talk about the AI already living inside your business. Ron, Russell, and Richard dig into why shadow AI doesn't behave like shadow IT, how one forgotten grant became the door into a real world breach, and whether AI agents should ever get access to a corporate inbox. Underneath all of it is the one thing Russell and Richard keep coming back to: ownership. Give an AI agent access with no owner attached and it becomes invisible. Give every employee an approved, low-friction path to use AI and they stop wandering off it. Find out how you can  get ahead of the AI already running inside your walls. Impactful Moments 00:00 - Introduction 02:00 - Busting the "shadow AI is just shadow IT" myth 03:45 - Meet Russell Spitler and Richard Penshorn 05:50 - The surprising long tail of AI tool usage 07:00 - Entertainment vs. finance: build vs. buy culture 08:50 - How 30 OAuth grants became 88 in 2026 10:25 - Why manual OAuth audits became untenable 11:30 - The Canva example: what "click to connect" really grants 15:20 - Benign vs. malicious: how a stolen OAuth grant gets exploited 17:00 - Shadow IT vs. Shadow AI: what's actually different now 21:00 - Hot take: should AI agents ever touch corporate email? 25:10 - The three buckets of AI agent discovery 27:55 - Russell's best practices for locking down agents 31:00 - Fundamentals for the next 18 months: visibility and easy paths Links Connect with Russell Spitler on LinkedIn: https://www.linkedin.com/in/russell-spitler/  Connect with Richard Penshorn on LinkedIn: https://www.linkedin.com/in/richardpenshorn/  Learn more about Nudge Security: https://www.nudgesecurity.com/  –  Check out our upcoming events: https://www.hackervalley.com/livestreams   Love Hacker Valley Studio? Pick up some swag: https://store.hackervalley.com   Become a sponsor of the show: https://hackervalley.com/work-with-us/

Imagine how much investigation time your SOC could get back if the busywork just disappeared. Ron sits down with John Gillis, Staff Security AI Engineer at Adobe, who built an in-house AI investigation platform from scratch. John's system runs on more than 30 specialized agents that reason through cases instead of following a script. In one run, that meant over 140 detections investigated in under four hours at an 80 to 85% quality rating. Ron and John dig into the hard lesson that made John rip out his own tooling and rebuild it around function calling, why "humans first" drives every decision his team makes, and whether AI SOC is actually different from SOAR or just the same promise with way better marketing. Underneath all of it is the one thing John says decides whether any of this actually works: context. Give the AI too little and it's guessing, give it too much and it drowns just like a human would. Listen to find out what it actually takes to build an AI SOC that reasons instead of just automates. Impactful Moments 00:00 - Introduction 02:05 - The rewind: how SOAR promised to save the SOC in 2015 03:35 - Meet John Gillis, Adobe's Staff AI Security Engineer 05:30 - What cybersecurity looked like before AI at enterprise scale 07:00 - The "humans first" strategy behind Adobe's AI investigator 09:30 - Why careless context management is the biggest pitfall in agent design 14:45 - Solving the speed problem: is it tooling, process, or people? 17:10 - From monolith to microservices: rebuilding the platform for scale 24:05 - What actually makes an AI agent's "persona" work 26:00 - John's prediction for the SOC three years from now 28:50 - The three skills every security practitioner needs for 2026 32:10 - Final verdict: is AI SOC really different, or SOAR with new branding? Links Connect with John Gillis on LinkedIn: https://www.linkedin.com/in/john-gillis/ If you're a researcher ready to make an impact, check out the announcement about Adobe’s new home for the Adobe Bug Bounty Program here: https://blog.adobe.com/security/a-new-home-for-the-adobe-bug-bounty-program Check out Adobe’s Bug Bounty profile on Intigriti: https://app.intigriti.com/programs/adobe/adobepublic/detail Learn more about Adobe: https://www.adobe.com/ –  Check out our upcoming events: https://www.hackervalley.com/livestreams Love Hacker Valley Studio? Pick up some swag: https://store.hackervalley.com Become a sponsor of the show: https://hackervalley.com/work-with-us/

Fresh off the showroom floor at Black Hat 2026, Ron brings back some hot takes from the crowd. Nearly every booth he visited, including the Exaforce booth, was pushing in the same direction. Trust in AI isn’t a philosophy debate anymore, it’s an engineering problem people are actively solving.    Ron then catches up with Jen Easterly, CEO of RSAC, for a wide-ranging conversation on what it actually takes to build that trust. From her move out of government to her hard line on AI regulation and liability, the conversation takes an unexpected turn when Jen opens up about "cognitive surrender" and why she believes good judgment can't be automated away. Couldn't make it to Black Hat this year? This episode has you covered.   Impactful Moments  00:00 - Introduction  02:45 - Reporting live from Black Hat 2026: hot takes from the showroom floor  05:05 - Welcoming Jen Easterly, CEO of RSAC 07:55 - A day in the life running RSAC and the Innovation Sandbox 10:00 - AI whack-a-mole and the sweet spot for regulation 11:00 - Governance vs. regulation, the EU AI Act, and state laws 13:30 - Why accountability and liability need to catch up to AI makers 14:45 - The case for autonomous patching and healing code like "The Matrix" 17:50 - The hot take Jen hasn't said before: not outsourcing our humanity 20:30 - Why in-person conferences matter more in the AI era 21:55 - Ron's takeaway: who decides when AI has earned our trust?   Links Connect with Jen Easterly on LinkedIn: https://www.linkedin.com/in/jen-easterly  Learn more about Exaforce: https://www.exaforce.com –  Check out our upcoming events: https://www.hackervalley.com/livestreams  Love Hacker Valley Studio? Pick up some swag: https://store.hackervalley.com  Become a sponsor of the show: https://hackervalley.com/work-with-us

What if the encrypted traffic flowing across the internet right now (emails, files, logins) is already being quietly collected and stored by someone waiting for the day they can finally crack it open? That's the threat behind "harvest now, decrypt later," and it's closer than most people think. Ron Eddings sits down with Michael Fasulo, Senior Director of Portfolio Marketing at Commvault, to talk about where post-quantum cryptography (PQC) really stands in 2026. They discuss "harvest now, decrypt later," the specific industries quietly racing to prepare, and why a commercially viable quantum machine might only be four years away.  Ron and Michael trace the journey from a 1998 hack to today's quantum race, and the good news is there's still time to get ahead of it. Listen to hear where the real opportunity is, and how to start building your defense today. Impactful Moments 00:00 - Introduction 01:40 - Rewind: the 1998 Deep Crack story 04:10 - Michael Fasulo and the current state of post-quantum cryptography in 2026 05:05 - Harvest now, decrypt later: do people really have the storage to do this? 06:10 - Where is this actually happening? Nation-states vs. coffee shops 08:50 - Who the real targets are: government, financial services, oil and gas 10:05 - Are everyday SaaS tools like Zoom and Gmail implicated? 12:25 - How Commvault helps organizations inventory their crypto footprint 17:00 - Trust, vendor partnerships, and the Commvault / Microsoft Sentinel integration 18:30 - Signs that a commercial quantum machine may be closer than we think 24:45 - Are we already behind? What to do starting next week 28:20 - Deep Crack revisited  Links Connect with Michael Fasulo on LinkedIn: https://www.linkedin.com/in/michael-fasulo  Learn more about Commvault: https://www.commvault.com  –  Check out our upcoming events: https://www.hackervalley.com/livestreams  Love Hacker Valley Studio? Pick up some swag: https://store.hackervalley.com Become a sponsor of the show: https://hackervalley.com/work-with-us/

What if the biggest risk to your organization isn't the device that gets lost, but the data that lives on it? Ron Eddings sits down with Jared Shepard, Founder and CEO of Hypori, whose path ran from homeless high school dropout to Army infantry to building a company that rethinks mobile security from the ground up. Jared makes the case for something more radical than most vendors will admit: stop defending the edge device entirely, and make sure sensitive data never lands there in the first place. He and Ron cover MDM and MAM's blind spots, executive protection, and the shadow AI habits quietly becoming every security leader's next headache. The episode also lands at a tense moment for the defense industrial base with the Pentagon having just paused third party CMMC assessments, now putting the burden of proof back on self attestation. If you're still trusting the edge device to protect you, this episode is your wake up call. Impactful Moments  00:00 - Introduction  02:00 - Hack The Headlines: Top new from around the industry 07:30 - Meet Jared Shepard, founder and CEO of Hypori  10:00 - What Hypori does and how it started  15:40 - MDM vs. MAM: why both miss the real problem  18:45 - Shadow AI and the security habits practitioners can't ignore  20:30 - Collapsing the attack surface and bringing back BYOD (Bring Your Own Device)  22:40 - The 4-gigabit-speed "parlor trick" that proves the Cloud beats your device 25:20 - What the 60-day CMMC pause really changes (and what it doesn't) 29:20 - China, stolen tech, and the rise of AI models like Mythos  36:00 - Closing the loop on the CMMC pause    Links  Connect with Jared Shepard on LinkedIn: https://www.linkedin.com/in/shepardj  Learn more about Hypori: https://hypori.com  –  Check out our upcoming events: https://www.hackervalley.com/livestreams Love Hacker Valley Studio? Pick up some swag: https://store.hackervalley.com Become a sponsor of the show: https://hackervalley.com/work-with-us/

What does the world's most prolific cybercrime operation look like from the inside? And why does it operate suspiciously like a mid-sized tech company, complete with HR headaches, salary negotiations, and a distracted boss nobody respects? Ron Eddings sits down with investigative journalist and author, Geoff White, who has spent over 20 years covering cybercrime for the BBC, Channel 4 News, and Sky News. Geoff has read 47,000 of Conti’s 300,000 leaked internal chats, the gang that dominated the ransomware world in 2021 and 2022, pulling in hundreds of millions of dollars in ransoms. From the Moscow movie studio the gang's leader used to launder money years previously, to the Ukraine war leak that brought the whole Conti empire down, this one plays like true crime… because it is. Geoff makes the case that defenders should think the same way: you're not buying security tools to fend off a hoodie in a basement, you're investing to outcompete a rival business. For anyone trying to integrate a better incident response plan, this episode reframes the whole conversation. Impactful Moments 00:00 - Introduction 01:45 - The Rewind: Colonial Pipeline and the week the East Coast ran dry 03:50 - How Geoff went from tech news to cybercrime reporting 05:10 - The difference between threat groups, APTs, and crime gangs 07:25 - Inside the Conti leaks: 300,000 messages 08:55 - Meet the gang: Stern, Mango, and Target 13:20 - Stern's origin story: Zeus malware, money mules, and the 25th Floor front company 16:50 - Ransomware gangs vs. the mafia: where's the protection? 18:10 - The money: $2.5M single payouts and 400 years of wages 19:30 - The Conti member arrested on a layover in Miami 20:35 - The downfall: the Ukraine war and the leak that ended it all 23:05 - What businesses can learn from Conti: recruitment, retention, reputation 27:45 - Advice for defenders: response waves, segmentation, and negotiating down 31:05 - Ron's takeaway: belonging and the thin line between operator and criminal   Links Connect with Geoff White on LinkedIn: https://www.linkedin.com/in/geoffwhitetech/ Get your own copy of Geoff's books (Crime Dot Com, The Lazarus Heist, Rinsed): https://geoffwhite.tech/book/ Want more information on Conti? Check out Geoff’s BBC podcast series, Cyber Hack: The Conti Files, available on BBC Sounds, Spotify, and Apple Podcasts – Check out our upcoming events: https://www.hackervalley.com/livestreams  Love Hacker Valley Studio? Pick up some swag: https://store.hackervalley.com  Become a sponsor of the show: https://hackervalley.com/work-with-us/

What happens when the adversary moves at machine speed, and your SOC is still responding at human speed? Why does nearly every security team say AI should handle L1 work, while 64% of organizations still have zero agents in production? And how long until the "coworker" resolving your ticket in Slack turns out not to be human at all? Tim Leehealey, VP of Strategy and Operations at Strike 48, joins us this week to talk about what it actually takes to get AI agents out of the demo and into production. Tim agenticized his own company's IT, watched it blow up, and came out the other side with lessons from Fortune 100 SOCs running agents at serious scale.  He shares where AI actually belongs in the alert pipeline, the objections holding teams back, and a blunt warning for any leader still waiting on the sidelines in 2027. If AI in the SOC is on your roadmap before the end of this year, start here.   Impactful Moments 00:00 - Introduction 01:55 - Busting a myth: AI will replace analysts 04:45 - Introducing Tim Leehealey  05:30 - The Strike48 survey: 84% say hand L1 to AI 08:00 - Fear the low-and-slow attacker, not the loud one 13:00 - Getting breached without agents in 2027 15:00 - When Tim's own rollout blew up 19:00 - Micro agents inside deterministic workflows 21:25 - Skills advice for L1 analysts 26:00 - The next 18 months of agentic adoption 28:00 - Jim Bob in your Slack is an agent 21:30 - Ron's take: transparency is the trust unlock Links Connect with Tim Leehealey on LinkedIn: https://www.linkedin.com/in/tim-leehealey-b8b04321  Learn more about Strike48: https://strike48.com Check out the 2026 State of Agentic Security report here: https://hubs.ly/Q04p49S20 Go deeper on Strike 48's technology: https://labs.strike48.com –  Check out our upcoming events: https://www.hackervalley.com/livestreams  Love Hacker Valley Studio? Pick up some swag: https://store.hackervalley.com  Become a sponsor of the show: https://hackervalley.com/work-with-us/

Think about everything you could accomplish if you don’t have to be the one driving your browser. In this solo episode, Ron Eddings introduces Interceptor, Hacker Valley Media's first piece of software.  Interceptor is an open-source Chrome extension that lets an AI agent drive your real browser, logged-in sessions and all, with no vendor lock-in. Ron shares how it works and describes the use cases that matter most to security practitioners: OSINT and recon, bug bounty operations, prompt-injection testing, and threat-intelligence automation. Ron also puts himself in the hot seat, answering the hardest questions he's gotten about the tool, including why anyone should trust an open-source tool from a podcast company over a polished product from a billion-dollar AI lab. The delegation is coming, and we would rather the security community be the ones who understand it. Impactful Moments:  00:00 - Introduction 02:35 - The Rewind: Same Origin Policy and the Web's Foundation 04:40 - Rapid-fire facts: AI agents got hands, and attacks followed 07:00 - What is Interceptor and why was it built?  10:20 - How Interceptor works: stealth, network visibility, teach and replay 13:10 - Live use-case: dynamic dashboard without writing code 17:05 - Cybersecurity use-cases: OSINT, bug bounty, prompt injection testing 21:50 - Ron answers the hard questions about Interceptor 24:10 - Why trust an open source tool from a podcast company?  25:20 - What a practitioner can do tomorrow  27:30 - Closing reflection: knocking down the vendor lock-in wall   Links  Download Interceptor on GitHub: https://github.com/hackervalleymedia/interceptor Connect with Ron on LinkedIn: https://www.linkedin.com/in/ronaldeddings/  –  Check out our upcoming events: https://www.hackervalley.com/livestreams Love Hacker Valley Studio? Pick up some swag: https://store.hackervalley.com Become a sponsor of the show: https://hackervalley.com/work-with-us/