Crying Out Cloud

Eden Koby Naftali, Amitai Cohen

omer.mosheiov@wiz.io

For verified host and producer emails, sign up to view.

Booking Overview

Crying Out Cloud is a monthly deep-dive into cloud security incidents and vulnerabilities, with practical guidance on what to patch and how to reduce risk. It’s particularly relevant to security researchers and engineers working at the intersection of cloud infrastructure and modern AI tooling.

Metrics

Episodes: 62

Frequency: Monthly

Rating: 4.8/5.0

Estimated listeners: <1k

Gender skew: Male

Location: USA

Contact Information

omer.mosheiov@wiz.io

For verified host and producer emails, sign up to view.

Host

Eden Koby Naftali - Cloud security expert and co-host of Crying Out Cloud, where she (with Amitai Cohen) breaks down the most important cloud vulnerabilities and incidents from the previous month and translates them i...

Amitai Cohen - Cloud security expert and co-host of Crying Out Cloud, delivering in-depth monthly coverage of key cloud vulnerabilities/incidents plus expert recommendations for protecting cloud infrastructure.

Booking Intelligence

Booking Requirements

medium
Typical Credentials:  
Cloud security practitioners and security researchers from well-known security companies or research orgs; experts who can explain concrete vulnerability root causes and mitigation guidance (often with hands-on technical depth, including AI-assisted research workflows). Also includes security-adjacent product/engineering leaders who can credibly discuss secure development guardrails in AI-assisted coding environments.
Required Achievements:  
Discovered or analyzed publicly reported vulnerabilities (often with CVEs), Published technical research blogs or advisories tied to incidents, Experience leading reverse engineering or fuzzing/agentic security discovery efforts, Involvement in security tooling or research that benchmarks/validates exploit discovery workflows

Recent Guest Discussions

Jacob Newman - AI Agent-driven Bug Hunting Methodology For Copyfail; Vulnerability Disclosure And Exploitation Speed Concerns.

Tim Becker - Ai-driven Vulnerability Discovery For Linux Copyfail; AI Agent Benchmarking And Disclosure Timelines In The AI Era.

Sagi Tzadik - Github RCE Vulnerability Analysis Enabled By Ai-assisted Reverse Engineering (claude + Reverse Engineering Workflow); Microservice Input Handling And Attack Surface.

Igor Andriushchenko - Shift To “soft Guardrails” For Ai-assisted/vibe-coded Application Security; Shared Responsibility; Future AI Pen-testing With Autonomous Agents.

Recent Topics

Cloud, Cybersecurity, Vulnerability, Incident Response, Secure Development

Episodes

Here's the recent few episodes on
Crying Out Cloud
:

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

July 02, 2026

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...

The Linux CopyFail Vulnerability & AI Bug Hunting with Xint

May 20, 2026

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 mo...

Hacking GitHub with a Semicolon & Claude with Sagi Tzadik

May 01, 2026

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 e...

Get your clients booked on top podcasts

Try us risk free with a FREE 3 days trial.

Start Your Free Trial

Join hundreds of PR teams using Podseeker to pitch and land bookings