Crying Out Cloud

🚨 How AI just broke PHP (and 70% of the internet).On this episode of Crying Out Cloud, Amitai Cohen sits down with Sagi Tzadik (Wiz Research) and Thai Duong (Calif) to unpack a massive PHP RCE vulnerability discovered entirely by AI agents.This isn't just another zero-day story. It's a look at the terrifying new reality of "agentic exploit development." What used to take human researchers months of tedious lab setups and debugging to weaponize a memory corruption bug took AI agents a couple of weeks, working while the researchers slept.What's Inside:- How an AI model looking for a Drupal bug accidentally found a foundational PHP flaw from 2004.- Why AI scaling exploit development across multiple software versions changes the threat landscape.- The massive logistical challenge of coordinating a patch for 70% of the web alongside distros, WAFs, and cloud providers.- How defenders can use these same AI agents to scale detection engineering.

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 compute
2. Malware poison pills designed to neutralize automated LLM triage
3. Why firmware and ICS layers are becoming primary targets for disruption
4. Behavioral detection models when living-off-the-land means zero usable IOCs
5. 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 Hunting

On 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.