Autonomous AI Malware, Threat Actor Startups & Beating Burnout with John Hammond

On this episode of Crying Out Cloud, Eden Koby Naftali & Amitai Cohen sit down with John Hultquist, Chief Analyst at Google Threat Intelligence Group (ex-Mandiant, ex-FireEye, founder of CYBERWARCON & SLEUTHCON).Drawing on over two decades of tracking state-sponsored adversaries like Sandworm, John cuts through the hype to explain what modern threat intelligence actually does: it keeps CISOs from burning millions of dollars on the wrong technology, spots adversary shifts before static IOCs exist, and bridges the gap between raw binary reverse-engineering and executive decision-making.In this episode, John unpacks how threat actors are weaponizing AI and bypassing commercial costs entirely and traces the real shift underway: adversaries embedding adversarial prompt-injection payloads inside malware to shut down automated SOC scanners.What's Inside:1. The economics of illicit AI: Underground access vs. hijacked enterprise compute2. Malware poison pills designed to neutralize automated LLM triage3. Why firmware and ICS layers are becoming primary targets for disruption4. Behavioral detection models when living-off-the-land means zero usable IOCs5. Lessons from tracking Sandworm and convincing leadership to act before the lights go out

AI is changing the security landscape, but are we automating the wrong things?On this episode of Crying Out Cloud, Eden Koby Naftali & Amitai Cohen sit down with Daniel Miessler to unpack why most companies are completely unprepared for the AI revolution. Daniel drops some heavy truths about what happens when we automate the "boring" parts of security, and why attackers are currently winning the AI arms race.What's Inside:- The "Gym Robot" analogy for operational toil and analyst training- Why attackers are moving 10X faster with AI than defenders- The TELOS framework and defining your security goals in text

On this episode of Crying Out Cloud, Eden Koby Naftali & Amitai Cohen sit down to unpack the wildest cloud security news of the month: from AI chatbots going rogue to massive supply chain battles.What's Inside:- The WP2Shell vulnerability and why 60% of WordPress instances were at risk- GitHub's aggressive mitigations to combat TeamPCP's supply chain attacks- Why 20-year-old vulnerabilities like SquidBleed are suddenly being unearthed by AI- The Klue hack and the hidden dangers of over-privileged AI agents in Salesforce- How attackers bypassed Meta's security using VPNs, deepfakes, and a gullible AI support bot

AI-Powered Malware and the Future of Threat HuntingOn this episode of Crying Out Cloud, Eden Koby Naftali & Amitai Cohen sit down with John Hammond to unpack the reality of autonomous AI hacking and why cybercriminals are operating like Fortune 500 startups.1. Why modern ransomware groups have sales teams, HR, and go-to-market strategies.2. How autonomous AI agents are finding zero-days while researchers sleep.3. Glimpsing the future of non-deterministic, AI-driven command and control (C2) servers.4. Real talk on incident response burnout and why the "always-on" hustle is breaking defenders.

The AI bug hunting revolution is here, and it just broke Linux.On this episode of Crying Out Cloud, Eden Koby Naftali & Amitai Cohen sit down with Tim Becker and Jacob Newman from Xint to unpack CopyFail, a powerful vulnerability found using autonomous AI agents.1. How Xint's custom LLM harness uncovered CopyFail, a privilege escalation bug affecting almost every Linux machine since 2017.2. The harsh reality of vulnerability disclosure in the AI era and why 90 days is too long when models can weaponize exploits instantly by patch-diffing.3. The evolution of AI agents in security, from the DARPA AI Cyber Challenge to Claude 3.5 Sonnet to Mythos.4. The importance of benchmarking in agentic workflows.

Wiz researcher Sagi Tzadik joins us to break down how a single semicolon led to a critical Remote Code Execution (RCE) vulnerability in GitHub.For two years, Sagi sat on a lead. Reverse engineering GitHub's microservices manually was too tedious to justify the time. Then, AI agents arrived. By hooking Claude directly into his reverse engineering software, he condensed months of grueling binary analysis into 48 hours. The result? A critical bug in how GitHub handles git push options that exposed both SaaS and Enterprise environments. We get into the weeds on how different microservices interpreting the same input differently creates massive attack surfaces, and why security by obscurity is officially dead in the age of AI.What's Inside:- How combining Claude with the IDA MCP server dramatically sped up the reverse engineering process- The technical anatomy of the GitHub semicolon vulnerability.- Why microservice communication breakdowns lead to critical RCEs.- The massive difference in impact between GitHub.com and GitHub Enterprise Server.- Why Enterprise users need to patch their instances immediately.Resources:- Learn more about the findings at: https://www.wiz.io/blog/github-rce-vulnerability-cve-2026-3854

Igor Andriushchenko joins Crying Out Cloud to explain how vibe coding changes the role of security engineers. The shift from typing lines of code to shaping entire systems means security teams need new strategies. Developers expect their shipping velocity to increase tenfold with AI assistance. Relying on traditional hard deployment blocks will only cause friction. If you want to understand how to build secure guardrails for AI development without destroying developer momentum, this conversation covers the exact mechanics.What's Inside:The evolution of the Stockholm tech scene and human ambition driven by AI.How Lovable empowers non-developers to build disposable and deeply specific software.The concept of "soft guardrails" and why hard blocks fail in AI-assisted workflows.Future capabilities of AI pen testing using hundreds of autonomous agents.The shared responsibility model when business users build internal applications.

Agentic AI is coming. Are defenders ready?Alon Schindel, Director of Data & Threat Research at Wiz, joins Eden and Amitai for the Season 3 Finale. This isn't just a recap. It is a look at how top-tier research teams operate at speed. Alon explains why Wiz treats research as a "product" rather than a support function. He details the "DeepLeak" discovery where his team found thousands of exposed API keys mere hours after a platform's popularity spiked.What's Inside:Agentic AI: Why 2026 will be the year AI starts taking action, not just chatting.Speed as a Weapon: How to shorten the time between a zero-day and a detection.Culture: The power of the "Table" and collaborative chaos.Retrospective: Lessons from IngressNightmare and the year in vulnerabilities.Resources:Read the DeepLeak Research: https://www.wiz.io/blog/wiz-research-uncovers-exposed-deepseek-database-leakWiz Threat Research Hub: https://www.wiz.io/research

🚨 Vibe coding meets critical data exposure: The Moltbook Hack.On this episode of Crying Out Cloud, Eden Koby Naftali & Amitai Cohen sit down with Wiz researcher Gal Nagli to unpack how he compromised the "Facebook for AI Agents" in under an hour ↓How a simple boolean manipulation (valid: false to true) bypassed authenticationCloud Database misconfigurations and the failure of Row Level Security (RLS)How Claude Code was used to identify and exploit the vulnerabilityThe security reality of "Vibe Coding" and zero-manual-code applications

🚨 Everything you need to know about CodeBreach with Yuval AvrahamiOn this episode of Crying Out Cloud, Eden Koby Naftali & Amitai Cohen sit down with Wiz researcher Yuval Avrahami to unpack a major supply-chain flaw that put cloud environments at risk ↓Misconfigured CodeBuild instances used by AWS themselvesOne small regex mistake, huge consequencesHow an SDK used by the AWS Console could have been hijacked (!)The CI/CD controls that can mitigate this risk