Afleveringen
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Traditional SCA and SAST tools are notorious for drowning security teams in false positives, historically flagging nine out of ten alerts incorrectly. But while generative AI seems like a magic bullet, simply wrapping an out-of-the-box LLM around your code can result in confident hallucinations and astronomical costs extrapolating to as much as $52 million a year for a large enterprise using frontier models.
In this episode, Ashish sits down with Harry Wetherald, CEO and co-founder of Maze, to discuss the evolution of AI-native AppSec and Cloud Security. Harry breaks down the critical difference between vulnerability reachability (is the code active?) and true exploitability (can an attacker actually trigger it logically?). He also explains why the historical walls between cloud security and application security teams are finally crumbling as AI acts as a perfect translator between the two domains.
If your team is debating "Build vs. Buy" for AI security tools, this episode is essential. Harry shares the biggest red flags to watch out for in AI vendors (beware the "black box"), how to intelligently route across models to optimize token costs by 100x, and how a true "security brain" orchestrates multiple investigations to provide reliable context across your entire environment.
Guest Socials - Harry's Linkedin
Podcast Twitter - @CloudSecPod
If you want to watch videos of this LIVE STREAMED episode and past episodes - Check out our other Cloud Security Social Channels:
-Cloud Security Podcast- Youtube
- Cloud Security Newsletter
If you are interested in AI Security, you can check out our sister podcast - AI Security Podcast
Questions asked:
(00:00) Introduction to AI in AppSec(01:50) Harry Wetherald's Background and the Founding of Maze(02:30) Reachability vs. Exploitability Explained(04:45) The "Build vs. Buy" Dilemma for AI Security Tools(08:30) Bridging the Gap Between Siloed AppSec and CloudSec Teams(11:30) Evaluating Out-of-the-Box LLMs vs. Specialized Security Tools(14:20) Solving the Historic AppSec False Positive Problem(18:50) AI Vendor Red Flags: The Danger of "Black Box" Products(20:50) How to Build a True AI-Native Security Architecture(24:45) The Hidden Cost of AI Models: Why Optimization is Crucial(28:00) When to Keep a Human in the Loop for Remediation(34:00) Building a "Security Brain" to Inform AI Coding Agents(39:20) The Launch of Maze Code for Deep Cloud and Code Investigations
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Are overprivileged AI agents the biggest emerging threat in cybersecurity? In a recent high-profile attack, a vibe-coding company had its entire source code stolen because an attacker exploited a long-lived, overprivileged token tied to a third-party AI agent.
In this episode, Ashish sits down with Ely Kahn, CPO at Okta, to unpack the challenge of managing Non-Human Identities (NHI) in the AI era. Ely explains why traditional, static human permissions completely break down when applied to autonomous agents. To solve this, Okta has spearheaded Cross-App Access (XAA), an extension of OAuth that uses an Identity Assertion Grant (ID JAG). This open protocol, backed by 25+ partners, including Anthropic, XAA securely passes the baton between apps without annoying consent pop-ups or dangerous static API keys.
We also explore the four maturity levels of agent authorization, ranging from broad API keys to the ultimate "North Star" of intent-based security. Learn the difference between SPIFFE (for internal cryptographic identity) and XAA (for downstream resource authorization), how the Linux Foundation is building an Agent Domain System, and why every CISO needs an immediate "kill switch" for rogue AI agents.
Guest Socials - Ely's Linkedin
Podcast Twitter - @CloudSecPod
If you want to watch videos of this LIVE STREAMED episode and past episodes - Check out our other Cloud Security Social Channels:
-Cloud Security Podcast- Youtube
- Cloud Security Newsletter
If you are interested in AI Security, you can check out our sister podcast - AI Security Podcast
Questions asked:
(00:00) Introduction(02:50) Ely Kahn's Background: From DHS to Okta CPO(04:00) Why AI Agent Identity is Different from Human IAM(06:30) The Danger of Overprivileged Tokens: A Source Code Breach Case Study(08:30) Introducing Cross-App Access (XAA) and ID JAG(11:00) Agent Identities: Acting on Behalf of a User vs. Autonomous Scopes(13:00) SPIFFE vs. XAA: Workload Identity vs. Resource Authorization(14:30) The Linux Foundation's Agent Domain System for Cross-Company Passports(18:00) Assuming Breach: Why Prompt Injection Makes Identity the Highest ROI Security Action(19:30) The 4 Maturity Levels of AI Agent Authorization(21:00) Intent-Based Security and Zero Standing Privilege(23:00) How to Offboard AI Agents and Manage Identity Governance (IGA)(27:00) The 3 Governance Questions Every CISO Must Answer(28:50) Implementing a Universal Kill Switch for Rogue Agents
Resources spoken about during the episode:
Learn more about how Okta and XAA are setting the new security standard for the AI era
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Zijn er afleveringen die ontbreken?
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AI isn't necessarily creating impossible new attacks, but it is drastically lowering the technical barrier to entry for cybercriminals. In this episode, Ashish Rajan speaks with Simon Biggs, Cyber Incident Response Specialist at Varonis, about how AI is accelerating the attack lifecycle.
Simon explains how attackers are using AI kits to instantly set up ephemeral phishing portals, query SQL databases in minutes, and bypass AI guardrails to compile Remote Access Trojans (RATs). We also discuss the shift in ransomware tactics from "encryption-first" to "data-theft-first," and how AI empowers attackers to post-process terabytes of stolen data to monetize it in novel ways.
For defenders, the message is clear: if your S3 access logs and SQL transaction logs aren't turned on before a breach, your forensics team won't be able to tell lawyers or regulators what data was actually lost. Discover why data classification and proactive logging are the ultimate lifelines for IR teams in the AI age.
Guest Socials - Simon's Linkedin
Podcast Twitter - @CloudSecPod
If you want to watch videos of this LIVE STREAMED episode and past episodes - Check out our other Cloud Security Social Channels:
-Cloud Security Podcast- Youtube
- Cloud Security Newsletter
If you are interested in AI Security, you can check out our sister podcast - AI Security Podcast
Questions asked:
(00:00) Introduction(02:00) Simon Biggs' Background in Law Enforcement and Varonis(03:10) Is There a Huge Volume of Sophisticated AI Attacks?(04:10) How AI Accelerates SQL Queries and Business Email Compromise (BEC)(05:15) Why AI Kits Are the New Metasploit and BloodHound(08:15) Varonis Threat Labs: Copilot Prompt Injection Vulnerability(09:20) The Forensic Challenge: Auditing Prompts vs. Understanding AI Output(10:30) Tricking AI Guardrails to Compile Malware(12:15) Defensive Strategies: Shadow AI, Permissions, and Logging(15:30) Using Defensive AI and BloodHound for Threat Hunting(17:30) Why Ransomware is Now "Data First, No Encryption"(20:50) The Legal Nightmare of Unclassified Stolen Data(23:20) Why Windows Forensics Can't Tell You What Data Was Stolen(31:20) The Crucial Importance of Enabling S3 and Cloud Audit Logs(35:10) How AI Allows Attackers to Post-Process Terabytes of Stolen Data
Resources spoken about during the episode:
Simon’s Research at Varonis
Article about SearchLeak
Article about Reprompt
Varonis Threat Labs
Thank you to Varonis for sponsoring this episode of Cloud Security Podcast
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Threat hunting has officially evolved into "vibe hunting". However, if your AI security tools lack the right semantic context, they might be doing more harm than good.
In this episode, Ashish sits down with Aqsa Taylor, Chief Security Evangelist at Exaforce, to discuss the rapidly changing landscape of Security Operations Centers. Aqsa explains how her team coined the term "vibe hunting" after autonomously tracking IOCs and exposure windows during the nationwide attack. We also explore the limitations of upstream detections, highlighting complex threats like the HackerBot Claw pull-request manipulation, TeamPCP NPM supply chain attacks, and APTs posing as fake employees on Google Workspace.
If you are navigating the noise of the 54+ new AI SOC startups, Aqsa breaks down the 4 Pillars of an AI SOC (Triage, Detection, Investigation, and Response) and speaks to "Build vs. Buy" debate regarding internal security tooling.
Guest Socials - Aqsa's Linkedin
Podcast Twitter - @CloudSecPod
If you want to watch videos of this LIVE STREAMED episode and past episodes - Check out our other Cloud Security Social Channels:
-Cloud Security Podcast- Youtube
- Cloud Security Newsletter
If you are interested in AI Security, you can check out our sister podcast - AI Security Podcast
Questions asked:
(00:00) Introduction to AI SOC and Vibe Hunting(02:40) Aqsa Taylor’s Background at Twistlock, SACR, and Exaforce(03:40) The Origin of "Vibe Hunting" and the Iran Striker Attack(09:30) Why AI Hurts Without Context: The HackerBot Claw Attack(12:30) Hunting North Korean Fake Employees on Google Workspace(14:20) SaaS Detections and the TeamPCP NPM Supply Chain Attack(18:40) Navigating the Noise of 54+ AI SOC Startups(20:30) The 4 Pillars of an AI SOC: Triage, Detection, Investigation, Response(28:40) Automating Response: Containing Credential Stuffing Attacks(33:00) The Build vs. Buy Debate for Internal AI SOC Tooling(39:30) Building Confidence in AI with Semantic Knowledge Graphs(44:20) Fun Questions: Content Creation, Family, and Korean BBQ
Resources spoken about during the episode:
The Force Multiplier - Exaforce Substack
Its SOC Easy! Podcast
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As enterprises expand across multiple cloud environments, on-premise data centers, and dynamic AI workloads, traditional perimeter defenses and siloed cloud-native tools are no longer enough to secure the modern network. In this episode, Ashish sits down with Murali Rathinasamy, Senior Director of Product at Cisco, to break down the next evolution of network security: the Hybrid Mesh Firewall. Murali explains why relying solely on cloud-native firewalls can create visibility gaps, and how unified policy orchestration allows security teams to manage enforcement points seamlessly. He shares a real-world case study of how Multicloud Defense is used to eliminate manual route table configurations and achieve zero-downtime, blue-green upgrades. The conversation also tackles micro-segmentation. Murali breaks down why segmentation initiatives usually stall in "analysis paralysis" and provides a practical, agentless roadmap to reduce your attack surface "one bite at a time".
Guest Socials - Murali's Linkedin
Podcast Twitter - @CloudSecPod
If you want to watch videos of this LIVE STREAMED episode and past episodes - Check out our other Cloud Security Social Channels:
-Cloud Security Podcast- Youtube
- Cloud Security Newsletter
If you are interested in AI Security, you can check out our sister podcast - AI Security Podcast
Questions
(00:00) Introduction(01:40) Murali Rathinasamy's Background and Role at Cisco(02:30) What is a Hybrid Mesh Firewall?(04:30) Bridging the Skills Gap: NetSec vs. CNAPP/CSPM(06:45) Case Study: Royal College of Surgeons in Ireland (RCSI)(09:40) The Limits of Cloud-Native Firewalls in a Multicloud World(13:30) Securing AI Workloads and Managing the Agent Blast Radius(15:40) Why You Need Unified Policy Orchestration Across Firewall Vendors(17:40) Why Micro-segmentation Fails: Overcoming Analysis Paralysis(24:45) How to Implement Micro-segmentation "One Bite at a Time"(31:30) Detecting and Blocking Prompt Injections with Cisco AI Defense(33:30) Where Does the Hybrid Mesh Firewall Fit in the Tech Stack?
Resources spoken about during the interview:
Cisco Hybrid Mesh Firewall
YouTube series on Hybrid Mesh Firewall
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Third-Party Risk Management (TPRM) has historically been a tedious, 200-page paper exercise that felt like being catapulted back to 1979. But AI is changing that.
In this episode, Ashish sits down with Igor Andriushchenko (CISO at Lovable) and Jasper Mills (CEO of Ethira) to discuss the collision of TPRM and AI.
We dive into the hidden risks of Shadow AI, exploring the chaos that ensues when non-technical teams spin up unauthorized AI tools without security oversight. Jasper and Igor explain why the future of vendor risk involves treating AI agents like a contracted workforce, managing their lifecycles, and preparing for the 2027 era of "agent-to-agent" negotiations where humans are entirely removed from the loop.
We also cover the impact of DORA (Digital Operational Resilience Act) regulations, the Build vs. Buy debate for AI security tooling, and how to use autonomous agents to finally automate tedious vendor questionnaires.
Guest Socials - Igor's Linkedin + Jasper Linkedin
Podcast Twitter - @CloudSecPod
If you want to watch videos of this LIVE STREAMED episode and past episodes - Check out our other Cloud Security Social Channels:
-Cloud Security Podcast- Youtube
- Cloud Security Newsletter
If you are interested in AI Security, you can check out our sister podcast - AI Security Podcast
Questions asked:
(00:00) Introduction(02:00) Jasper and Igor's Backgrounds (Athira and Lovable) (04:00) Why Traditional Third-Party Risk Management is Abysmal (06:20) DORA Regulations and the Collision of AI and Compliance (11:30) Using AI to Automate Vendor Assessments and Questionnaires (16:30) The Build vs. Buy Debate for AI TPRM Tools (22:30) Shadow AI: "Giving a Kindergarten a Nuclear Bomb" (25:30) Using AI Agents for Automated Vendor Discovery and Inventory (28:30) 2027: The Future of Agent-to-Agent Negotiations (30:40) Treating AI Agents Like a Contracted Workforce (34:10) Enforcing Contractual Accountability through AI Guardrails
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Is your vulnerability management program ready for something like Claude Mythos? The old days of treating vulnerabilities as temporal events (like Heartbleed or Log4J) and patching them on a leisurely 30, 60, or 90-day cycle are officially over.
In this episode, Ashish sits down with Brad Hibbert, COO and Chief Strategy Officer at Brinqa. Brad explains how the release of Anthropic's Claude Mythos, an AI model capable of discovering vulnerabilities at machine speed without human intervention has compressed the time-to-exploit from months down to mere seconds.
We discuss why the traditional assumption that "sophisticated attacks require sophisticated attackers" is no longer relevant, and why leaning solely on CVSS scores will drown your remediation teams in noise. We speak about how defenders must pivot from generic patching to focusing on true exploitability within their specific environments. Learn how AI can chain multiple "low severity" vulnerabilities (which were previously ignored 90% of the time) to gain root access, and why siloed AI security tools will lead to an expensive and ineffective game of "Whac-A-Mole".
Guest Socials - Brad's Linkedin
Podcast Twitter - @CloudSecPod
If you want to watch videos of this LIVE STREAMED episode and past episodes - Check out our other Cloud Security Social Channels:
-Cloud Security Podcast- Youtube
- Cloud Security Newsletter
If you are interested in AI Security, you can check out our sister podcast - AI Security Podcast
Questions asked:
(00:00) Introduction(02:30) Brad Hibbert's Background and Role at Brinqa(03:40) Heartbleed vs. Claude Mythos: Temporal vs. Persistent Threats(05:30) AI Weaponization: From Months to Seconds(06:50) Elevating the Threat Model Beyond CVSS(09:30) The Tsunami of Vulnerabilities and the Need for Exploitability(12:10) Bridging the Blind Spots in Exposure Management(15:10) Resolving Friction Between Security and Remediation Teams(21:00) Automating Remediation Without Losing Oversight(28:30) The Problem with Treating Every Vulnerability Individually(30:20) Why We Ignored 90% of Low Severity Vulnerabilities(32:30) Siloed AI and the Costly Game of "Whac-A-Mole"(35:30) Defining "Reasonable Security" in the AI Era(41:10) Quick Wins: Where to Start Uplifting Your Program
Resources spoken about during the episode:
Mythos Changes the Offense.
5 Things Every CISO Should Do Before the Next Mythos
Thank you to Brinqa for sponsoring this episode
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We are officially entering the "Multi-AI Era." Much like the multi-cloud times, organizations are no longer just using a single AI tool like Microsoft Copilot, they are building custom, agentic workflows using diverse third-party models and MCP servers . In this episode, Ashish sits down with Shawn Hays from Varonis to discuss why the security market has over-pivoted on AISPM (AI Security Posture Management) . Shawn spoke about how having visibility and an inventory of your AI models is a great start, but it fails to secure the enterprise if you lack the guardrails to actually stop an agent from going off the rails and exfiltrating data . Shawn breaks down the components of a robust AI security platform (like Varonis Atlas) and explains why data security is inseparable from AI security. He spoke about why AI agents will blindly "read whatever is on the teleprompter," meaning your AI is only as secure as the data access and identity controls surrounding it . Tune in to learn how to apply Zero Trust across the entire AI chain from the prompter to the cloud infrastructure
Guest Socials - Shawn's Linkedin
Podcast Twitter - @CloudSecPod
If you want to watch videos of this LIVE STREAMED episode and past episodes - Check out our other Cloud Security Social Channels:
-Cloud Security Podcast- Youtube
- Cloud Security Newsletter
If you are interested in AI Security, you can check out our sister podcast - AI Security Podcast
Questions asked:
(00:00) Introduction(02:50) Shawn's Background: Microsoft, CMMC, and Varonis (03:50) The Biggest AI Security Challenges (Copilot to Agentic AI) (05:50) Third-Party AI Risk (Jira and Salesforce Agents) (08:40) The Connector Ecosystem Danger (Copilot + Salesforce) (11:50) 8 Distinct Areas of an AI Security Platform (Varonis Atlas) (14:00) Entering the "Multi-AI Era" (Analogies to Multi-Cloud) (16:00) The AI Bill of Materials (Athena AI & Grammarly) (20:50) Why Data Security and AI Security are Intertwined (22:00) Applying Zero Trust to the Entire AI Chain (24:50) The Role of Identity and ITDR in AI Systems (27:00) HIPAA, OCR, and Regulating AI Data Access (31:30) Creating a Governance Plan for Microsoft Copilot (33:50) Securing Pro-Code AI Systems (AWS Bedrock & MCP Servers) (38:30) Why the Security Market is Over-Pivoting on AISPM (44:10) The "Ron Burgundy" Analogy for AI Agents (45:50) Fun Questions: Crocodile & Caramel Tasting (47:20) The Ed Sheeran & Yelawolf Mixtape Connection (48:50) Hobbies & Pride: DJing Weddings and Playing Ice Hockey in Alabama (51:50) Favorite Food: Alabama White Sauce BBQ & Milo's Burgers
Resources spoken about during the episode:
Varonis Atlas
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Is your cloud security strategy ready for the "messy middle" of AI adoption? With developers pushing code from inception to production in under three days using "vibe coding," and adversaries capable of exfiltrating data in just 25 minutes, human-led security is no longer fast enough .In this episode, Ashish sits down with Elad Koren from Palo Alto Networks (Cortex Cloud) to discuss the shift toward Agentic Cloud Security. Elad spoke to us about why bolting an AI chatbot onto legacy security tools doesn't work, and why you must run AI directly where your data lies . Elad shared a real-world case study: an organization that rapidly spun up an "internal" AI workload to test the market, only to have a red team discover it was exposed to the public internet with zero authentication .If you want to know how the role of cloud security practitioners will evolve from manual analysts to AI orchestrators within the next five years, listen to this episode.
Guest Socials - Elad's Linkedin
Podcast Twitter - @CloudSecPod
If you want to watch videos of this LIVE STREAMED episode and past episodes - Check out our other Cloud Security Social Channels:
-Cloud Security Podcast- Youtube
- Cloud Security Newsletter
If you are interested in AI Security, you can check out our sister podcast - AI Security Podcast
Questions asked:
(00:00) Introduction(02:50) Who is Elad Koren? (Palo Alto Networks / RSA Security) (04:00) The Explosion of "Vibe Coding" and AI Applications (05:10) How CNAPP is Evolving from Posture to Active Protection (07:20) The New Threat Model: 25-Minute Exfiltration Windows (09:30) What is "Agentic Cloud Security"? (Fighting Machines with Machines) (11:40) The "Messy Middle" and the Evolution of Security Practitioners (14:30) Platformization: Why Security Can No Longer Survive in Silos (16:50) Blurring the Lines Between Cloud and Enterprise Estates (18:20) Case Study: An Unauthenticated "Internal" AI Workload Exposed (20:30) How AI is Shrinking Code-to-Cloud Cycles to 3 Days (22:30) The Coming Crisis: Security Token Budgets vs. Speed (23:30) Fun Questions: Kangaroo Jerky Tasting (25:20) Hobbies & Family: Cycling, Audiobooks, and Fatherhood (26:30) Favorite Food: Thai Cuisine in the Bay Area
Resources spoken about during the episode:
- Cortex Cloud
- Symphony 26
- The Agentic SOC Summit
- Palo Alto Networks Linkedin Page
- Elad's Linkedin
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Is your EDR blinding you to insider threats? In this episode, Ashish is joined by Brandon Dixon (Co-Founder & CTO of Ent AI, and former Microsoft Security Copilot leader) to discuss why traditional endpoint security tools are failing in the AI era .
Brandon talks about the reality of modern "Insider Risk." Attackers are no longer relying on malware; they are "living off the land" by using legitimate enterprise software (like Zoom or Microsoft Office) to look like everyday employees . Why EDR tools can see that Zoom is running, but are completely blind to a user granting remote control to an outsider .
We also explore the explosion of Shadow AI, highlighting a real-world HIPAA violation where an HR employee tried to feed patient records into Meta AI via WhatsApp . If your SOC team is drowning in alerts from "dumb control points," this episode talks about how to move from reactive pattern matching (legacy DLP) to proactive behavioral intent modeling at the endpoint
Guest Socials - Brandon's Linkedin
Podcast Twitter - @CloudSecPod
If you want to watch videos of this LIVE STREAMED episode and past episodes - Check out our other Cloud Security Social Channels:
-Cloud Security Podcast- Youtube
- Cloud Security Newsletter
If you are interested in AI Security, you can check out our sister podcast - AI Security Podcast
Questions asked:
(00:00) Introduction(02:50) Who is Brandon Dixon? (RiskIQ, Microsoft Copilot, Ent AI) (04:00) Redefining Insider Risk: Malice vs. Mistakes (05:10) "Living Off the Land": Why Adversaries Use Legitimate Tools (06:30) The Zoom Example: Why EDR is Blind to Remote Control Hacks (09:30) The Failure of Security Training against "Click Fix" Attacks (11:50) Case Study: A HIPAA Violation via Meta AI in WhatsApp (13:50) Why Traditional DLP Fails at Semantic Context (16:50) Local AI Usage: Why Workloads Are Returning to the Endpoint (18:50) The Problem with UEBA: Putting Anomalies in Context (22:30) Why You Can't Build This With a Data Lake (26:30) Stopping the "Trophy SOC" and Dumb Alerts (27:40) Fun Questions: Kangaroo Jerky Tasting (28:40) Hobbies & Pride: Ultramarathons and Growing Up in Baltimore (29:20) Favorite Cuisine: Burmese Food (Tea Leaf Salad)
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Are AI agents functioning like adversarial malware inside your network? In this episode of the Cloud Security Podcast, Ashish sits down with Jasson Casey, Co-founder and CEO of Beyond Identity, to speak about the security risks introduced by Shadow AI and code assistants .Jasson explains why an AI agent executing a tool is the perfect opportunity for prompt injection or proprietary data exfiltration comparing unchecked agents to Ron Burgundy reading whatever is on the teleprompter . We discuss the "barbell" reaction of CISOs (either blocking AI entirely or blindly accepting the risk) and why placing device-bound identity at the core of your security stack is the only way to safely enable AI speed .From an $80,000 stolen Anthropic key nightmare on Reddit to a red-team exercise that cloned voices using Hugging Face models in just four hours, this episode highlights the tangible threats and solutions of the AI era .
Guest Socials - Jasson's Linkedin
Podcast Twitter - @CloudSecPod
If you want to watch videos of this LIVE STREAMED episode and past episodes - Check out our other Cloud Security Social Channels:
-Cloud Security Podcast- Youtube
- Cloud Security Newsletter
If you are interested in AI Security, you can check out our sister podcast - AI Security Podcast
Questions asked:
(00:00) Introduction(02:50) Who is Jasson Casey? (CEO of Beyond Identity) (03:50) The Reality of Shadow AI: Marketers & Devs Moving Fast (05:10) Why AI Agents Execute Like Adversarial Malware (06:20) Prompt Injection Over Time & Agent "Memory" as Persistence (07:40) The CISO "Barbell": Blocking Everything vs. Accepting All Risk (09:30) Applying the NIST Framework to AI Agents (12:00) The Reddit Horror Story: An $80,000 Stolen Claude Key (13:00) Why Device-Bound Identity is the Ultimate AI Control Plane (15:50) The Death of SaaS IT Products (Replaced by Git + Claude Code) (19:30) Fixing Prompt Injection & Exfil via Attributable Identity (20:50) Moving from UI Dashboards to API Data + AI Skills (26:20) Building "Agentic Playbooks" for Security Teams (27:40) Red Teaming: Cloning Voices in 4 Hours via Hugging Face (30:20) Fun Questions: Kangaroo vs. Crocodile Tasting (31:50) Hobbies: Radar Projects & Northern Mexican Cuisine (Dark Mole)
This episode was sponsored by Beyond Identity
Resources spoken about during the episode:
To get started with Ceros, the AI Trust Layer - Visit beyondidentity.ai
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Is your security team treating your Identity Provider (IDP) like a firewall? In this episode, Adam Bateman (CEO & Co-founder of Push Security) explains why that's a dangerous mistake and how modern attackers are bypassing SSO entirely .Drawing from his background leading red teams that simulated nation-state attacks , Adam breaks down the massive architectural shift from network-based attacks to browser-native exploits. We dive into the terrifying evolution of phishing, from "Click Fix" attacks that trick users into running malicious commands via their clipboard, to "Consent Phishing" that completely takes over Azure without ever touching the endpoint .If your company relies heavily on SaaS applications or Chromebooks, this episode would be a valuable listen.
Guest Socials - Adam's Linkedin
Podcast Twitter - @CloudSecPod
If you want to watch videos of this LIVE STREAMED episode and past episodes - Check out our other Cloud Security Social Channels:
-Cloud Security Podcast- Youtube
- Cloud Security Newsletter
If you are interested in AI Security, you can check out our sister podcast - AI Security Podcast
Questions asked:
(00:00) Introduction(02:50) Who is Adam Bateman? (Red Teaming & Simulating Nation States) (05:40) Why Identity & MFA Are Not "Solved" Problems (07:50) The Myth: Why an IDP is Not a Firewall (11:30) Consent Phishing: Exploiting OAuth Apps (13:30) The Architectural Shift: Network to Browser (15:30) Scattered Spider & The Rise of Identity Coalitions (19:30) Threat Modeling: On-Prem vs. Chromebooks (23:20) The Problem with SSPM and API Limitations (28:40) How "Click Fix" Attacks Trick Users into Running Malware (32:30) Omnichannel Phishing: LinkedIn, SMS, and Google Ads (34:30) Weaponizing Legitimate SaaS Apps (The DocuSign Exploit) (37:00) Consent Fix: Full Azure Compromise Inside the Browser (38:50) Disrupting the Secure Web Gateway (SWG) Market (41:40) Fun Questions: Wakeboarding, Culture, and Brat's Restaurant
Resources spoken about during the episode:
You can find out more about Push Security here.
Thank you to Push Security for sponsoring this episode.
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Are attackers really using AI to run end-to-end cyber campaigns? In this episode, Edward Wu (Founder and CEO, DropzoneAI) joins Ashish to separate the hype from reality when it comes to AI-driven attacks .Edward explains how attackers are currently using open-source LLMs for reconnaissance and spear-phishing , and why the major commercial models now explicitly prohibit users from generating exploits without vetting . On the defense side, Edward shares how AI agents have successfully automated over 160 years' worth of alert investigations in the real world proving that 100% software-delivered SOC triage is already here .We also debunk the myth of AI "hallucinations," explaining why most errors are actually just poor context management . If you're building a security operations center or working with an MSSP, this episode will teach you how to shift from manual alert fatigue to leveraging AI for threat hunting.
Guest Socials - Edward's Linkedin
Podcast Twitter - @CloudSecPod
If you want to watch videos of this LIVE STREAMED episode and past episodes - Check out our other Cloud Security Social Channels:
-Cloud Security Podcast- Youtube
- Cloud Security Newsletter
If you are interested in AI Security
, you can check out our sister podcast - AI Security Podcast
Questions asked:
(00:00) Introduction(02:50) Who is Edward Wu? (Founder of Dropzone AI) (04:50) The Reality of AI Cyber Attacks Today (Recon vs. End-to-End) (07:20) Why Commercial LLMs Are Blocking Exploit Generation (11:50) How MSSPs are Evolving with AI Triage (18:20) The Asymmetric Capacity Gap: Why Humans Can't Keep Up (22:30) Automating 160 Years of Alert Investigations (23:50) Why AI Hallucinations are Actually Context Management Failures (26:00) Build vs. Buy: The Data Network Effect for AI Agents (29:20) The New Workflow for SOC Analysts & Threat Hunters(31:30) Defining "Threategy": Scope, Authorization, and Context (35:50) How to Detect Prompt Injection (Treat it like an Insider Threat) (38:30) Dropzone AI Announcements at RSAC
Resources spoken about during the episode:
- Dropzone Diner RSAC 2026
- If you want to learn more about Dropzone- you can do that here!
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Is AI security just "Cloud Security 2.0"? Toni De La Fuente, creator of the open-source tool Prowler, joins Ashish to explain why securing AI workloads requires a fundamentally different approach than traditional cloud infrastructure.
We dive deep into the "Shared Responsibility Gap" emerging with managed AI services like AWS Bedrock and OpenAI. Toni spoke about the hidden dangers of default AI architectures, why you should never connect an MCP (Model Context Protocol) directly to a database.
We discuss the new AI-driven SDLC, where tools like Claude Code can generate infrastructure but also create massive security blind spots if not monitored.
Guest Socials - Toni's Linkedin
Podcast Twitter - @CloudSecPod
If you want to watch videos of this LIVE STREAMED episode and past episodes - Check out our other Cloud Security Social Channels:
-Cloud Security Podcast- Youtube
- Cloud Security Newsletter
If you are interested in AI Security
, you can check out our sister podcast - AI Security Podcast
Questions asked:
(00:00) Introduction(02:50) Who is Toni De La Fuente? (Creator of Prowler)(03:50) AI Security vs. Cloud Security: What's the Difference? (07:20) The Shared Responsibility Gap in AI Services (Bedrock, OpenAI) (11:30) The "Fifth Party" Risk: Managed AI Access (13:40) AI Architecture Best Practices: Never Connect MCP to DB Directly (16:40) Prowler's AI Pillars: Generating Dashboards & Detections (22:30) The New SDLC: Securing Code from Claude Code & Lovable (25:30) The "Magic" Trap: Why AI Doesn't Know Your Security Context (28:30) Top 3 Priorities for Security Leaders (Infra, LLM, Shadow AI) (30:40) Future Predictions: Why Predicting 12 Months Out is Impossible
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In the world of Generative AI, natural language has become the new executable. Attackers no longer need complex code to breach your systems, sometimes, asking for a "poem" is enough to steal your passwords .
In this episode, Eduardo Garcia (Global Head of Cloud Security Architecture at Check Point) joins Ashish to explain the paradigm shift in AI security. He shares his experience building AI-powered fraud detection systems and why traditional security controls fail against intent-based attacks like prompt injection and data poisoning .
We dive deep into the reality of Shadow AI, where employees unknowingly train public models with sensitive corporate data , and the sophisticated world of Deepfakes, where attackers can bypass biometric security using AI-generated images unless you're tracking micro-movements of the eye .
Guest Socials - Eduardo's Linkedin
Podcast Twitter - @CloudSecPod
If you want to watch videos of this LIVE STREAMED episode and past episodes - Check out our other Cloud Security Social Channels:
-Cloud Security Podcast- Youtube
- Cloud Security Newsletter
If you are interested in AI Security
, you can check out our sister podcast - AI Security Podcast
(00:00) Introduction(01:55) Who is Eduardo Garcia? (Check Point)(03:00) Defining Security for GenAI: The Focus on Prompts (05:20) Why Natural Language is the New Executable (08:50) Multilingual Attacks: Bypassing Filters with Mandarin (12:00) Shift Left vs. Shift Right: The 70/30 Rule for AI Security (15:30) The "Poem Hack": Stealing Passwords with Creative Prompts (21:00) Shadow AI: The "HR Spreadsheet" Leak Scenario (25:40) Security vs. Compliance in a Blurring World (28:00) The Conflict: "My Budget Doesn't Include Security" (34:00) The 5 V's of AI Data: Volume, Veracity, Velocity (40:00) Deepfakes & Biometrics: Detecting Micro-Movements (43:40) Fun Questions: Soccer, Family, and Honduran Tacos
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In this episode, Brad Hibbert (COO & Chief Strategy Officer at Brinqa) joins Ashish to explain why traditional risk-based vulnerability management (RBVM) is no longer enough in a cloud-first world .
We explore the evolution from simple patch management to Exposure Management a holistic approach that sits above your security tools to connect infrastructure, code, and cloud risks to actual business impact . Brad breaks down the critical difference between a "Risk Owner" (the service owner) and a "Remediation Owner" (the team fixing the bug) and why this distinction solves the "who fixes this?" problem .
This conversation covers practical steps to uplift your VM program, how AI is helping prioritize the noise , and why compliance often just "proves activity" rather than reducing real risk . Whether you're drowning in Jira tickets or trying to automate remediation, this episode provides a roadmap for modernizing your security posture
Guest Socials - Brad's Linkedin
Podcast Twitter - @CloudSecPod
If you want to watch videos of this LIVE STREAMED episode and past episodes - Check out our other Cloud Security Social Channels:
-Cloud Security Podcast- Youtube
- Cloud Security Newsletter
If you are interested in AI Security
, you can check out our sister podcast - AI Security Podcast
Questions asked:
(00:00) Introduction(02:50) Who is Brad Hibbert? (Brinqa)(04:55) The Evolution: From Scanning Servers to Cloud Complexity (06:50) What is Risk-Based Vulnerability Management? (08:50) Risk Owners vs. Remediation Owners: Who Fixes What? (12:00) How AI is Changing Vulnerability Management (15:20) Defining Exposure Management: Moving Beyond the Tools (18:30) The Challenge of "Data Inconsistency" Between Tools (22:30) Readiness Check: Are You Ready for Exposure Management? (25:10) Automated Remediation: Is "Zero Tickets" Possible? (28:40) Compliance vs. Risk: Why "Activity" isn't "Impact" (31:30) Maturity Milestones for Exposure Management (36:50) Fun Questions: Golf, Turkish Kebabs & Friendships
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Is "developer-friendly" AI security actually possible? In this episode, Bryan Woolgar-O'Neil (CTO & Co-founder of Harmonic Security) joins Ashish to dismantle the traditional "block everything" approach to security.
Bryan explains why 70% of Model Context Protocol (MCP) servers are running locally on developer laptops and why trying to block them is a losing battle . Instead, he advocates for a "coaching" approach, intervening in real-time to guide engineers rather than stopping their flow .
We dive deep into the technical realities of MCP (Model Context Protocol), why it's becoming the standard for connecting AI to data, and the security risks of connecting it to production environments . Bryan also shares his prediction that Small Language Models (SLMs) will eventually outperform general giants like ChatGPT for specific business tasks .
Guest Socials - Bryan's Linkedin
Podcast Twitter - @CloudSecPod
If you want to watch videos of this LIVE STREAMED episode and past episodes - Check out our other Cloud Security Social Channels:
-Cloud Security Podcast- Youtube
- Cloud Security Newsletter
If you are interested in AI Security
, you can check out our sister podcast - AI Security Podcast
Questions asked:
(00:00) Introduction(01:55) Who is Bryan Woolgar-O'Neil?(03:00) Why AI Adoption Stops at Experimentation(05:15) The "Shadow AI" Blind Spot: Firewall Stats vs. Reality (08:00) Is AI Security Fundamentally Different? (Speed & Scale) (10:45) Can Security Ever Be "Developer Friendly"? (14:30) What is MCP (Model Context Protocol)? (17:20) Why 70% of MCP Usage is Local (and the Risks) (21:30) The "Coaching" Approach: Don't Just Block, Educate (25:40) Developer First: Permissive vs. Blocking Cultures (30:20) The Rise of the "Head of AI" Role (34:30) Use Cases: Workforce Productivity vs. Product Integration (41:00) An AI Security Maturity Model (Visibility -> Access -> Coaching) (46:00) Future Prediction: Agentic Flows & Urgent Tasks (49:30) Why Small Language Models (SLMs) Will Win (53:30) Fun Questions: Feature Films & Pork Dumplings
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Is the AI SOC a reality, or just vendor hype? In this episode, Antoinette Stevens (Principal Security Engineer at Ramp) joins Ashish to dissect the true state of AI in detection engineering.
Antoinette shares her experience building detection program from scratch, explaining why she doesn't trust AI to close alerts due to hallucinations and faulty logic . We explore the "engineering-led" approach to detection, moving beyond simple hunting to building rigorous testing suites for detection-as-code .
We discuss the shrinking entry-level job market for security roles , why software engineering skills are becoming non-negotiable , and the critical importance of treating AI as a "force multiplier, not your brain".
Guest Socials - Antoinette's Linkedin
Podcast Twitter - @CloudSecPod
If you want to watch videos of this LIVE STREAMED episode and past episodes - Check out our other Cloud Security Social Channels:
-Cloud Security Podcast- Youtube
- Cloud Security Newsletter
If you are interested in AI Security
, you can check out our sister podcast - AI Security Podcast
Questions asked:
(00:00) Introduction(02:25) Who is Antoinette Stevens?(04:10) What is an "Engineering-Led" Approach to Detection? (06:00) Moving from Hunting to Automated Testing Suites (09:30) Build vs. Buy: Is AI Making it Easier to Build Your Own Tools? (11:30) Using AI for Documentation & Playbook Updates (14:30) Why Software Engineers Still Need to Learn Detection Domain Knowledge (17:50) The Problem with AI SOC: Why ChatGPT Lies During Triage (23:30) Defining AI Concepts: Memory, Evals, and Inference (26:30) Multi-Agent Architectures: Using Specialized "Persona" Agents (28:40) Advice for Building a Detection Program in 2025 (Back to Basics) (33:00) Measuring Success: Noise Reduction vs. False Positive Rates (36:30) Building an Alerting Data Lake for Metrics (40:00) The Disappearing Entry-Level Security Job & Career Advice (44:20) Why Junior Roles are Becoming "Personality Hires" (48:20) Fun Questions: Wine Certification, Side Quests, and Georgian Food
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Traditional vulnerability management is simple: find the flaw, patch it, and verify the fix. But what happens when the "asset" is a neural network that has learned something ethically wrong? In this episode, Sapna Paul (Senior Manager at Dayforce) explains why there are no "Patch Tuesdays" for AI models .
Sapna breaks down the three critical layers of AI vulnerability management: protecting production models, securing the data layer against poisoning, and monitoring model behavior for technically correct but ethically flawed outcomes . We discuss how to update your risk register to speak the language of business and the essential skills security professionals need to survive in an AI-first world .
The conversation also covers practical ways to use AI within your security team to combat alert fatigue , the importance of explainability tools like SHAP and LIME , and how to align with frameworks like the NIST AI RMF and the EU AI Act .
Guest Socials - Sapna's Linkedin
Podcast Twitter - @CloudSecPod
If you want to watch videos of this LIVE STREAMED episode and past episodes - Check out our other Cloud Security Social Channels:
-Cloud Security Podcast- Youtube
- Cloud Security Newsletter
If you are interested in AI Security
, you can check out our sister podcast - AI Security Podcast
Questions asked:
(00:00) Introduction(02:00) Who is Sapna Paul?(02:40) What is Vulnerability Management in the Age of AI? (05:00) Defining the New Asset: Neural Networks & Models (07:00) The 3 Layers of AI Vulnerability (Production, Data, Behavior) (10:20) Updating the Risk Register for AI Business Risks (13:30) Compliance vs. Innovation: Preventing AI from Going Rogue (18:20) Using AI to Solve Vulnerability Alert Fatigue (23:00) Skills Required for Future VM Professionals (25:40) Measuring AI Adoption in Security Teams (29:20) Key Frameworks: NIST AI RMF & EU AI Act (31:30) Tools for AI Security: Counterfit, SHAP, and LIME (33:30) Where to Start: Learning & Persona-Based Prompts (38:30) Fun Questions: Painting, Mentoring, and Vegan Ramen
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Think your cloud backups will save you from a ransomware attack? Think again. In this episode, Matt Castriotta (Field CTO at Rubrik) explains why the traditional "I have backups" mindset is dangerous. He distinguishes between Disaster Recovery (business continuity for operational errors) and Cyber Resilience (recovering from a malicious attack where data and identity are untrusted) .
Matt speaks about the "dirty secrets" of cloud-native recovery, explaining why S3 versioning and replication are not valid cyber recovery strategies . The conversation shifts to the critical, often overlooked aspect of Identity Recovery. If your Active Directory or Entra ID is compromised, it's "ground zero” and you can't access anything. Matt argues that identity must be treated as the new perimeter and backed up just like any other critical data source .
We also explore the impact of AI agents on data integrity, how do you "rewind" an AI agent that hallucinated and corrupted your data? Plus, practical advice on DORA compliance, multi-cloud resiliency, and the "people and process" side of surviving a breach.
Guest Socials - Matt's Linkedin
Podcast Twitter - @CloudSecPod
If you want to watch videos of this LIVE STREAMED episode and past episodes - Check out our other Cloud Security Social Channels:
-Cloud Security Podcast- Youtube
- Cloud Security Newsletter
If you are interested in AI Cybersecurity, you can check out our sister podcast - AI Security Podcast
Questions:
(00:00) Introduction(02:20) Who is Matt Castriotta?(03:20) Defining Cyber Resilience: The Ability to Say "No" to Ransomware(05:00) Why "I Have Backups" is Not Enough(06:45) The Difference Between Disaster Recovery and Cyber Recovery(10:20) Cloud Native Risks: Versioning and Replication Are Not Backups(12:50) DORA Compliance: Multi-Cloud Resiliency & Egress Costs(15:10) The "Shared Responsibility Model" Trap in Cloud(17:45) Identity is the New Perimeter: Why You Must Back It Up(22:30) Identity Recovery: Can You Restore Your Active Directory in Minutes?(25:40) AI and Data: The New "Oil" and "Crown Jewels"(27:20) Rubrik Agent Cloud: Rewinding AI Agent Actions(29:40) Top 3 Priorities for a 2026 Resiliency Program(33:10) Fun Questions: Guitar, Family, and Italian Food
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