Crying Out Cloud

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.

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