Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

AI is changing cloud security—and dashboards might be next to go. In this video, we introduce headless cloud security: a new model where AI agents, not humans, operate security systems. Instead of dashboards and manual triage, security becomes API-driven, automated, and built for autonomous execution. This shift redefines DevSecOps, cloud security, and AI security workflows—moving humans from operators to orchestrators.

A vulnerability is a weakness in software—and in containerized environments, even one small flaw can open the door. From buggy code to outdated images and misconfigurations, risk can exist at every layer of the stack. And if a vulnerability is already known… attackers often already know how to exploit it. In this video, we break down: Next up: What is a CVE?

Autonomous AI agents are no longer experimental—they’re writing code, executing commands, and making decisions in real time. But as AI coding agents become more powerful, they’re also introducing a new and often invisible attack surface. In this video, we break down: AI agents can install packages, run scripts, and modify systems instantly—often without traditional visibility. That means security teams need to rethink how they monitor and protect their environments.

A maximum-severity vulnerability is hitting React Server Components - and if you're running Next.js, you may be vulnerable by default. React disclosed CVE-2025-55182, nicknamed React2Shell, an unauthenticated remote code execution (CVSS 10.0) affecting React Server Components via the Flight protocol. Next.js tracks downstream exposure as CVE-2025-66478: That means internet-wide scanning is likely. Who’s affected?

84% of developers are using or planning to use AI tools in their workflow (Stack Overflow, 2025). AI coding assistants like Codex, GitHub Copilot, and CodeWhisperer are changing how we build software. But here’s the real question: Who secures AI-generated code? In this video, we break down: If you’re using AI to write code, you need: AI-generated code is still code. It must be reviewed, validated, and monitored.

What if you could analyze system calls, containers, and cloud workloads the same way you analyze packets in Wireshark? That’s exactly what Stratoshark does — deep visibility into hosts, containers, and cloud activity. Stratoshark is an open source analysis tool that brings the Wireshark-style workflow to system calls, containers, hosts, and cloud audit events.