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Welcome to Modern Cyber with Jeremy Snyder, a cutting-edge podcast series where cybersecurity thought leaders come together to explore the evolving landscape of digital security. In each episode, Jeremy engages with top cybersecurity professionals, uncovering the latest trends, innovations, and challenges shaping the industry.
Also the home of 'This Week in AI Security', a snappy weekly round up of interesting stories from across the AI threat landscape.

In this episode, Jeremy explores how autonomous model execution is completely upending classical software patch cycles and regulatory risk modeling. From Anthropic’s early access model mapping out thousands of real-world vulnerabilities autonomously to state regulators drawing a hard line on frontier safety, enterprise security is in a state of rapid transformation.Key Episode Highlights:Autonomous Scaling with Mythos: Anthropic's safety validation partners reveal that the new model family has autonomously scanned and identified over 10,000 vulnerabilities across roughly 1,000 open-source repositories with zero human guidance.The Apple M5 Silicon Exploit: Vietnamese security firm Khalif successfully leveraged model preview access to construct a functional macOS kernel memory corruption exploit, bypassing Apple's multi-billion-dollar hardware-level memory integrity protections in just five days.The Starlette "Bad Host" Flaw: A critical vulnerability has been uncovered in Starlette, the core routing engine behind the FastAPI framework, putting thousands of production-tier Python data and AI infrastructure stacks at immediate risk.Lapsus$ and Team PCP Joint Breach: Threat actors combined forces to target developer workstations, deploying malicious extensions directly inside VS Code environments to exfiltrate core corporate repository data.New York DFS Landmark Directive: The New York Department of Financial Services has officially issued an industry-wide mandate treating frontier models as an independent category of cyber threat, forcing financial institutions to implement rapid vulnerability management and strict guardrails.The Pulled Pre-Release Executive Order: The White House abruptly withdrew a highly anticipated framework that would have mandated 90-day voluntary pre-release security testing for frontier models, leaving enterprise compliance officers in a state of regulatory limbo.Worried about AI security?Get Complete AI Visibility in 15 Minutes. Discover all of your shadow AI now. Book a demo of Firetail's AI Security & Governance Platform: https://www.firetail.ai/schedule-your-demoEpisode Linkshttps://www.schneier.com/blog/archives/2026/05/macos-kernel-memory-corruption-exploit.htmlhttps://arstechnica.com/information-technology/2026/05/millions-of-ai-agents-imperiled-by-critical-vulnerability-in-open-source-package/https://www.helpnetsecurity.com/2026/05/20/github-breached-teampcp/https://techcrunch.com/2026/05/24/everyone-is-navigating-ai-security-in-real-time-even-google/https://www.dfs.ny.gov/industry-guidance/industry-letters/20260521-heightened-cybersecurity-risks-assoc-with-frontier-ai-modelshttps://arstechnica.com/tech-policy/2026/05/trump-canceled-ai-safety-testing-eo-after-snub-from-tech-ceos/

In this episode of Modern Cyber, host Jeremy sits down with Rich Mogull, the Chief Analyst at the Cloud Security Alliance (CSA). Jeremy and Rich dive straight into the realities of AI-powered engineering, dissecting the risks and rewards of developer tool integrations like code copilots. They walk through the core architectures of Large Language Models (LLMs), outlining how non-determinism and the collapse of traditional control and data planes trigger modern security threats like indirect prompt injection. Rich offers a detailed breakdown of the high-profile AWS Amazon Q outage, analyzing how over-automation and over-provisioned privileges can lead to catastrophic environment tear-downs when the "human-in-the-loop" goes for coffee. Finally, the conversation shifts to Rich’s recent concept of "Core Collapse"—an astrophysics analogy for how AI-fueled offensive velocity creates a math problem of combinatorial complexity that human defenders cannot match alone. Learn how to combat this threat through goal-based permissions, deterministic guardrails, Zero Trust architectures, and proactive technical upskilling. About Rich Rich is the Chief Analyst at the Cloud Security Alliance where he focuses on leading-edge cloud and AI security research and implementation. He has over 25 years of security experience, with over 15 years of focusing on cloud and emerging technologies. Prior to joining the CSA full time Rich frequently collaborated with CSA as the principle course designer of the CCSK training class, primary author of the Guidance, and developer of the Cloud Security Maturity Model, among other projects. As Researcher and CEO of Securosis, RIch taught cloud security and incident response at Black Hat for over 10 years, developed the free Cloud Security Lab a Week (CloudSLAW) project, and actively works on developing hands-on cloud security techniques. Rich also founded DisruptOps, a cloud security startup acquired by FireMon where he became the SVP of Cloud Security. Prior to founding Securosis and DisruptOps, Rich was a Research Vice President at Gartner on the security team. Prior to his seven years at Gartner, Rich worked as an independent consultant, web application developer, software development manager at the University of Colorado, and systems and network administrator. Rich is the Security Editor of TidBITS and a frequent contributor to industry publications. He is a frequent industry speaker at events including the RSA Security Conference, Black Hat, and DefCon, and has spoken on every continent except Antarctica (where he's happy to speak for free -- assuming travel is covered). Episode Links: Rich Mogull's CSA Profile: https://cloudsecurityalliance.org/profiles/rich-mogull Rich Mogull's "Core Collapse" Blog Post: https://cloudsecurityalliance.org/blog/2026/02/26/core-collapse#_

In this episode for May 21, 2026, Jeremy looks at the rapidly compressing timeline of AI-driven exploits. From the first live confirmation of an AI-assisted 2FA zero-day to Microsoft's multi-agent "debate" system outperforming top frontier models, defenders are watching the offensive clock shrink in real time.Key Episode Highlights:First Live AI Zero-Day: Google's Threat Intelligence Group (GTAG) confirmed the first in-the-wild exploitation of a semantic logic 2FA bypass discovered and weaponized entirely via an LLM.Microsoft's M-Dash System: Microsoft revealed a framework utilizing over 100 specialized AI agents that scan code and debate each other's findings, scoring an unprecedented 88.45% on the UC Berkeley Cyber Gym benchmark.TanStack Supply Chain Assault: Team PCP hit the TanStack ecosystem via token theft, successfully compromising two OpenAI employee devices and forcing a major code-signing certificate rotation.Amazon Quick Bypass: Jason Kao of Fog Security uncovered a critical server-side authorization flaw in Amazon Quick that permits restricted users to bypass interface boundaries and access blocked AI chat agents.PraisonAI Zero-Auth Exposure: A legacy configuration oversight in the PraisonAI framework left instances entirely unauthenticated, resulting in automated malicious scanning within four hours of disclosure.The DBIR Vulnerability Milestone: The 2026 Verizon DBIR notes an extraordinary historical shift: vulnerability exploitation now accounts for 31% of confirmed breaches, completely lapping credential theft at 13%.Stop guessing where your models are exposedUnmonitored models, insecure framework defaults, and shadow AI workflows are scaling your enterprise risk faster than traditional tools can track. FireTail provides complete discovery, posture management, and behavioral visibility across your entire AI environment in 15 minutes. Book your FireTail demo: https://www.firetail.ai/schedule-your-demoEpisode Linkshttps://thehackernews.com/2026/05/hackers-used-ai-to-develop-first-known.htmlhttps://unit42.paloaltonetworks.com/ai-agent-prompt-injection/https://www.microsoft.com/en-us/security/blog/2026/05/12/defense-at-ai-speed-microsofts-new-multi-model-agentic-security-system-tops-leading-industry-benchmark/https://thehackernews.com/2026/05/openai-launches-daybreak-for-ai-powered.htmlhttps://www.scworld.com/brief/anthropics-ai-finds-one-low-severity-vulnerability-in-heavily-audited-curl-codebasehttps://decrypt.co/367883/openai-confirms-security-breach-ai-malware-campaignhttps://www.csoonline.com/article/4171215/praisonai-vulnerability-gets-scanned-within-4-hours-of-disclosure.htmlhttps://www.theregister.com/ai-ml/2026/05/13/google-users-fight-for-refunds-as-unauthorized-api-usage-bills-soar/5239160https://www.fogsecurity.io/blog/authorization-bypass-in-amazon-quick-ai-agentshttps://tech.diegocarpintero.com/blog/the-zero-trust-gap-in-llmshttps://www.securityweek.com/verizon-dbir-2026-vulnerability-exploitation-overtakes-credential-theft-as-top-breach-vector/

In this episode for May 14, 2026, Jeremy breaks down a watershed moment in cybersecurity: the first confirmed case of hackers using AI to discover and weaponize a zero-day vulnerability in the wild. We also explore a major self-reported PII leak in the banking sector and the expanding attack surface of AI development environments.Key Episode Highlights:The First AI-Generated Zero-Day: Google Threat Intelligence confirms hackers used AI to discover and weaponize a 2FA bypass in an open-source admin tool, marking a transition from theoretical risk to documented reality.Banking Sector PII Leak: Community Bank (operating in PA, OH, and WV) filed an 8-K reporting that sensitive customer data, including SSNs and dates of birth, leaked into an AI application during training.The "Beagle" Backdoor: Sophos uncovered a fake Claude-Pro website pushing trojanized installers that deploy a memory-resident backdoor targeting AI coding environments.Framework Exploitation: Research reveals how prompt injection in popular frameworks like Semantic Kernel, LangChain, and CrewAI can escalate to full remote code execution (RCE).Phonetic Obfuscation: New proof-of-concept research shows that LLMs can navigate phonetic misspellings to interpret malicious intent, effectively bypassing standard text filters.Pixel-Perfect Phishing: Vercel’s v0.dev tool is being used by attackers to generate nearly perfect brand impersonations for Nike, Adidas, and Microsoft, making phishing detection significantly harder.Secure AI Across Your Entire OrganizationUnregulated AI usage and data leaks are the biggest threats to your organization's reputation. Get full visibility into your AI environment and block sensitive data exfiltration in 15 minutes. Book your FireTail demo: https://www.firetail.ai/schedule-your-demoEpisode Linkshttps://cloud.google.com/blog/products/identity-security/beyond-source-code-the-files-ai-coding-agents-trust-and-attackers-exploithttps://www.microsoft.com/en-us/security/blog/2026/05/07/prompts-become-shells-rce-vulnerabilities-ai-agent-frameworks/https://www.bleepingcomputer.com/news/security/fake-claude-ai-website-delivers-new-beagle-windows-malware/https://www.infosecurity-magazine.com/news/researchers-10-wild-indirect/https://www.darkreading.com/cloud-security/hackers-ai-exploit-dev-attack-automationhttps://www.darkreading.com/ics-ot-security/worlds-first-ai-driven-cyberattack-couldnt-breach-ot-systemshttps://hackread.com/hackers-exploit-vercel-genai-phishing-sites/https://bishopfox.com/blog/cve-2026-42208-pre-authentication-sql-injection-in-litellm-proxyhttps://securityaffairs.com/191888/data-breach/braintrust-security-incident-raises-concerns-over-ai-supply-chain-risks.htmlhttps://shape-of-code.com/2025/06/29/an-attempt-to-shroud-text-from-llms/https://databreaches.net/2026/05/12/us-bank-reports-itself-for-revealing-customer-data-to-unauthorized-ai-application/

In this episode for May 7, 2026, Jeremy reports from the sidelines of BSides Luxembourg. This week marks a significant shift in AI-driven vulnerability research, moving from source code analysis to the successful reverse engineering of closed-source compiled binaries.Key Episode Highlights:GitHub Backend RCE: Researchers from Wiz used AI-augmented binary analysis to find an X-stat header injection vulnerability in GitHub’s Git push pipeline, achieving a CVSS score of 8.7 on closed-source code.The "Copyfail" Crisis: A critical Linux security flaw dating back to 2017 was uncovered using AI-assisted tools. The story highlights the tension between automated discovery and the rise of "AI slop" in automated vulnerability disclosures.CISA Patching Mandates: CISA is considering lowering the required "mean time to patch" from 14 days to just 3 days in response to AI’s ability to find vulnerabilities at an "apocalypse" scale.Shadow AI Exposure: A study by Intruder found over 1 million exposed AI services via certificate transparency logs, with 31% of Meta Llama servers requiring zero authentication.Google "Cosmo" Leak: A massive 1.13 GB system-level agent for Android briefly leaked on the Play Store, revealing an autonomous browser agent with deep system permissions.The Criminal Skill Gap: New research from the University of Edinburgh suggests that while AI is boosting professional developers, most cybercriminals currently lack the skills to weaponize AI at a "weaponizable scale".Shadow AI and unsecured AI models are the new frontier of enterprise risk. 31% of exposed AI servers are operating with zero authentication. Don't let your infrastructure be the next headline. Get full visibility into your AI environment in 15 minutes. Book your FireTail demo: https://www.firetail.ai/schedule-your-demoEpisode Linkshttps://www.wiz.io/blog/github-rce-vulnerability-cve-2026-3854 https://cyberscoop.com/copy-fail-linux-vulnerability-artificial-intelligence/https://www.reuters.com/legal/litigation/us-officials-weigh-cutting-deadlines-fix-digital-flaws-amid-worries-over-ai-2026-05-01/https://venturebeat.com/security/ai-agent-runtime-security-system-card-audit-comment-and-control-2026https://thehackernews.com/2026/05/we-scanned-1-million-exposed-ai.htmlhttps://www.euronews.com/next/2026/05/05/cybercriminals-gave-ai-a-go-and-came-away-disappointed-study-findshttps://www.bleepingcomputer.com/news/security/learning-from-the-vercel-breach-shadow-ai-and-oauth-sprawl/https://azat.tv/en/google-cosmo-ai-leak-privacy-safety/https://www.wiz.io/blog/github-rce-vulnerability-cve-2026-3854

In this episode for April 30, 2026, Jeremy breaks down a week where the "human-in-the-loop" failed spectacularly. From a production environment deleted in just nine seconds to "Abliterated" models providing kidnapping instructions to Congress, the risks of autonomous AI agents are no longer theoretical. They are live.Key Episode Highlights:Abliterated Models on Capitol Hill: OpenAI and Anthropic briefed House lawmakers on "abliterated" models - versions with safety guardrails stripped - demonstrating how they can provide step-by-step instructions for criminal acts.Entra ID Hijacking: Researchers at Silverfort discovered that the new "Agent ID" role in Microsoft Entra ID can be exploited to hijack service principals, leading to a full Global Admin takeover.The 9-Second Disaster: An AI agent at PocketOS, attempting to fix a staging environment, fetched production credentials and deleted both the production environment and its backups in under ten seconds.LiteLLM SQL Injection: A critical vulnerability in the LiteLLM gateway saw targeted exploitation within 36 hours of disclosure, specifically aiming for provider API keys.Vercel Breach Update: The recent Vercel data breach is traced back to a "Luma Stealer" malware infection at a third-party AI analytics partner.Episode Linkshttps://www.politico.com/news/2026/04/22/ai-chatbots-jailbreak-safety-00887869https://security.googleblog.com/2026/04/ai-threats-in-wild-current-state-of.htmlhttps://www.microsoft.com/en-us/security/blog/2026/04/06/ai-enabled-device-code-phishing-campaign-april-2026/https://hackread.com/microsoft-entra-agent-id-flaw-tenant-takeover/https://www.bleepingcomputer.com/news/security/hackers-are-exploiting-a-critical-litellm-pre-auth-sqli-flaw/https://www.cbsnews.com/news/anthropic-investigates-mythos-ai-breach/https://thehackernews.com/2026/04/vercel-breach-tied-to-context-ai-hack.htmlhttps://x.com/lifeof_jer/status/2048103471019434248Is your organization part of the 82% with unknown AI agents running on your network? Don't wait for a "9-second deletion" event. Get full visibility into your AI agents today. Book your FireTail demo: https://www.firetail.ai/schedule-your-demo

In this episode for April 23, 2026, Jeremy explores a week where "first principles" in security are being forgotten in the rush to adopt AI. From guessable API endpoints exposing Anthropic’s most powerful model to a $10,000 fine for a lawyer’s AI "slop," the message of the week is clear: There is no AI without API security.Key Stories & Developments:The Mythos API Leak: Unauthorized actors gained access to Anthropic’s Claude Mythos model by simply guessing API naming conventions. This classic case of Broken Function Level Authorization highlights a major oversight in the rollout of sensitive models.Shadow AI Agents: A new survey from the Cloud Security Alliance reveals that 82% of enterprises have unknown AI agents operating without security oversight.The $10K Hallucination: An Oregon lawyer was fined $10,000 for "AI slop" in court filings, setting a firm legal precedent that AI error does not excuse professional negligence.MCP Design Flaws: The Model Context Protocol (MCP), designed to wrap APIs in human language, is proving vulnerable to coercion. Attackers are using human language requests to probe back-end systems through NGINX."Logjack": New research into "Logjack" shows how malicious prompts hidden in system logs can compromise the LLMs used to analyze them.Meta Keystroke Capturing: Reports indicate Meta is capturing employee keystrokes to refine internal AI training sets, raising massive concerns about insider risk and password exfiltration.Shadow AI agents are the new Shadow IT. Are you part of the 82% with zero visibility into your AI agents? Discover every agent and API connection in 15 minutes. Book your FireTail demo: https://www.firetail.ai/schedule-your-demoEpisode Linkshttps://www.inc.com/kevin-haynes/faulty-ai-leads-to-record-10000-fine-for-oregon-lawyer/91322007https://www.nytimes.com/2026/04/17/us/oregon-winery-ai-legal-fight.htmlhttps://techcrunch.com/2026/04/21/meta-will-record-employees-keystrokes-and-use-it-to-train-its-ai-models/https://cloudsecurityalliance.org/press-releases/2026/04/21/new-cloud-security-alliance-survey-reveals-82-of-enterprises-have-unknown-ai-agents-in-their-environmentshttps://techcrunch.com/2026/04/20/app-host-vercel-confirms-security-incident-says-customer-data-was-stolen-via-breach-at-context-ai/https://www.securityweek.com/by-design-flaw-in-mcp-could-enable-widespread-ai-supply-chain-attacks/https://www.theregister.com/2026/04/16/anthropic_mcp_design_flaw/https://www.darkreading.com/application-security/critical-mcp-integration-flaw-nginx-riskhttps://www.helpnetsecurity.com/2026/04/16/llm-router-security-risk-agent-commands/https://oddguan.com/blog/comment-and-control-prompt-injection-credential-theft-claude-code-gemini-cli-github-copilot/https://arxiv.org/abs/2604.15368https://venturebeat.com/security/microsoft-salesforce-copilot-agentforce-prompt-injection-cve-agent-remediation-playbookhttps://techcrunch.com/2026/04/21/unauthorized-group-has-gained-access-to-anthropics-exclusive-cyber-tool-mythos-report-claims/https://aisle.com/blog/ai-cybersecurity-after-mythos-the-jagged-frontierhttps://www.darkreading.com/vulnerabilities-threats/every-old-vulnerability-ai-vulnerabilityhttps://www.theregister.com/2026/04/20/lovable_denies_data_leak/

This week, Jeremy breaks down a sophisticated bypass of Apple Intelligence and explores a hardware-level GPU threat that turns "vandalism" into full system takeovers. We also look at the massive data fallout from the Mercor supply chain breach and why "Claude Mythos" is officially ending the era of slow vulnerability management.Key Stories & Developments:NeuralExec vs. Apple: Researchers reveal a 76% success rate in bypassing Apple Intelligence safety filters using Right-to-Left (RTL) Unicode overrides.The 4TB Mercor Leak: The fallout from the LiteLLM supply chain attack is confirmed: 4 terabytes of data stolen, leading Meta to pause contracts and OpenAI to investigate exposure.GPU-Breach: A new technique from the University of Toronto moves beyond "bit-flipping" to gain God-mode over GPU memory, threatening cryptographic secrets.Secret Sprawl Explosion: GitGuardian reports a 34% jump in exposed secrets, with AI service credentials (like OpenRouter and Google API keys) being the fastest-growing category.The Death of the Patch Cycle: "Claude Mythos" has flipped the script—99% of its AI-discovered zero-days are now valid, forcing a realization that this is no longer an AI security problem, but a high-speed vulnerability management crisis.Episode Linkshttps://9to5mac.com/2026/04/09/researchers-detail-how-a-prompt-injection-attack-bypassed-apple-intelligence-protections/https://securityboulevard.com/2026/04/bypassing-llm-supervisor-agents-through-indirect-prompt-injection/https://cybersecurityjournal.ca/techtalk/83883-flowise-cve-2025-59528-rce-exploitation-ai-agent-builder-2026-04-08/https://cyberscoop.com/grafanaghost-grafana-prompt-injection-vulnerability-data-exfiltration/https://techcrunch.com/2026/04/09/after-data-breach-10b-valued-startup-mercor-is-having-a-month/https://www.helpnetsecurity.com/2026/04/14/gitguardian-ai-agents-credentials-leak/https://securityaffairs.com/190455/security/gpubreach-exploit-uses-gpu-memory-bit-flips-to-achieve-full-system-takeover.htmlhttps://aisle.com/blog/system-over-model-zero-day-discovery-at-the-jagged-frontierhttps://openai.com/index/scaling-trusted-access-for-cyber-defense/https://www.npr.org/2026/04/11/nx-s1-5778508/anthropic-project-glasswing-ai-cybersecurity-mythos-previewhttps://labs.cloudsecurityalliance.org/wp-content/uploads/2026/04/mythosready.pdfhttps://www.businessinsider.com/andon-market-luna-ai-agent-managed-store-san-francisco-2026-4#Worried about AI security?Get Complete AI Visibility in 15 Minutes. Discover all of your shadow AI now. Book a demo of Firetail's AI Security & Governance Platform: https://www.firetail.ai/request-a-demo

In this episode for April 9, 2026, Jeremy covers a week dominated by highly sophisticated supply chain attacks and the emergence of "Project Glasswing", an internal Anthropic project revealing that next-gen AI models may be "too good" at finding zero-day vulnerabilities.Key Stories & Developments:The FBI's IC3 Report: For the first time in 25 years, the FBI has specifically categorized AI-enabled fraud, which accounted for $893 million in losses across BEC, romance, and investment scams.Ollama Exposure Spikes: A Shodan scan reveals that publicly exposed Ollama instances have jumped from 1,100 in September 2025 to over 25,000 in April 2026.Critical Infrastructure CVEs: Both MLflow and PraisonAI received maximum CVSS scores of 10.0 for flaws allowing unauthenticated code execution and command injection.The Axios Supply Chain Heist: In a sophisticated "long con," threat actors (Team PCP) spent weeks building rapport with the Axios project maintainer via a fake Slack workspace. They eventually lured the maintainer into downloading malware, allowing them to inject a Remote Access Trojan (RAT) into a package installed 600,000 times.Project Glasswing (Claude Mythos): Leaked documents from Anthropic describe Claude Mythos, a model family with terrifying cybersecurity capabilities. Mythos discovered a 27-year-old bug predating GitHub; currently, 99% of the zero-days it has identified remain unpatched, leading to internal concerns about a controlled rollout.Vertex AI Permission Flaw: Unit 42 discovered a flaw in Google Cloud’s Vertex AI that could allow AI agents to bypass security boundaries and access sensitive data.Episode Linkshttps://securityboulevard.com/2026/04/cyber-fraud-cost-americans-17-billion-in-2025-ai-scams-make-list-fbi/https://insecurestack.substack.com/p/eus-exposed-ai-infrastructurehttps://securityonline.info/weekly-vulnerability-digest-april-2026-chrome-zero-day-ai-security/https://thehackernews.com/2026/03/vertex-ai-vulnerability-exposes-google.htmlhttps://fortune.com/2026/04/02/mercor-ai-startup-security-incident-10-billion/https://www.sans.org/blog/what-we-learned-axios-npm-supply-chain-compromise-emergency-briefinghttps://techcrunch.com/2026/04/06/north-koreas-hijack-of-one-of-the-webs-most-used-open-source-projects-was-likely-weeks-in-the-making/https://thehackernews.com/2026/04/flowise-ai-agent-builder-under-active.htmlhttps://www.securityweek.com/anthropic-unveils-claude-mythos-a-cybersecurity-breakthrough-that-could-also-supercharge-attacks/https://www.staffingindustry.com/news/global-daily-news/mercor-reports-data-breachhttps://red.anthropic.com/2026/mythos-preview/Worried about AI security? Get Complete AI Visibility in 15 Minutes. Discover all of your shadow AI now. Book a demo of Firetail's AI Security & Governance Platform: https://www.firetail.ai/request-a-demo

In this annual recap from the sidelines of RSAC 2026, Jeremy is joined by Joseph Carson, Chief Security Evangelist at Segura. They discuss a conference floor that felt more like an AI event than a cybersecurity one, exploring the convergence of agentic AI and identity security. Joseph shares critical insights from the Estonia "Digital Nation" playbook, the growing risk of non-human identities, and why organizations must move from "hope as a strategy" to a proactive resiliency model that assumes physical and digital disruption.Key Episode Highlights:The AI Convergence: Joseph and Jeremy observe that AI has become the "fuel to the fire" for cybersecurity. While AI helps defenders move at the pace of attackers, it requires rigorous guardrails like least privilege and security by design to be successful.Identity of the Machine: A major theme of the conference was non-human identities. Joseph argues that AI agents should never use human credentials but should instead rely on ephemeral, just-in-time (JIT) keys to maintain accountability and limit the blast radius.Estonia’s Resiliency Playbook: Joseph details how Estonia transitioned from a target of cyber war to a resilient digital nation. He highlights the use of "Data Embassies"—storing sovereign data in geographically distributed, diplomatically protected locations—to ensure the country can "reboot" even after a total local failure.Beyond Cybersecurity to Physical Impacts: The discussion shifts to how attackers are reverting to "cheap" physical disruptions like GPS jamming and cutting undersea data cables when digital defenses become too strong.The "Luck" Trap: Referencing the famous Maersk ransomware recovery, Joseph warns that finding a single surviving backup by chance is not a strategy. Organizations must simulate worst-case scenarios, including the loss of their identity provider (IdP) or primary cloud vendor.About JosephJoseph Carson is Chief Security Evangelist and Advisory CISO at Segura, where he helps organizations worldwide strengthen identity security and build resilient cyber defense strategies. An award-winning cybersecurity leader with more than three decades of experience, Joe has advised governments, critical infrastructure, and global enterprises. He is the author of Cybersecurity for Dummies, read by over 50,000 professionals, and a regular contributor to leading outlets including The Wall Street Journal and Dark Reading. Joe also hosts the podcast Security by Default and is a frequent keynote speaker on identity and AI-driven threats.Episode LinksSecurity by Default Podcast: https://open.spotify.com/show/0mzN5M5CkFVLn8fq5TnH0OJoseph on LinkedIn: https://www.linkedin.com/in/josephcarson/Segura Website: https://segura.security/