Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

The April 2026 AI Security Report: 6 Incidents and Detailed Attack Paths

From AI agents leaking internal data to coordinated global malware campaigns — here is everything that happened in AI cybersecurity between April 7 and April 21, 2026, with detailed attack paths for each incident. The fifteen days following April 7, 2026 produced six distinct AI-related security incidents spanning internal data exposure, supply chain exploitation, autonomous malware generation, coordinated multi-vector attacks, model leak fallout, and documented AI agent control failures.

Ep 39: This is your first ransomware attack, not ours

On this episode of Masters of Data, we sat down with Steven Manley, CTO of Druva, to get the unfiltered truth about ransomware: it's not a matter of if you'll be breached, but when, and bad actors are now launching hundreds of attacks at a surprisingly low cost. We dig into why attackers lurk undetected for 200-plus days, how AI is being weaponized for everything from eerily convincing voice phishing to secretly training your own AI systems against you, and why your most protected assets are rarely what gets hit first.

China-linked group targets cloud, Russian cyber espionage, agentic AI systems flaw & Nginx [313]

In this episode of The Cybersecurity Defenders Podcast, we discuss some intel being shared in the LimaCharlie community. Support our show by sharing your favorite episodes with a friend, subscribe, give us a rating or leave a comment on your podcast platform. This podcast is brought to you by LimaCharlie, maker of the SecOps Cloud Platform, infrastructure for SecOps where everything is built API first. Scale with confidence as your business grows.

Attacking the MCP Trust Boundary

Every secure API draws a line between code and data. HTTP separates headers from bodies. SQL has prepared statements. Even email distinguishes the envelope from the message. The Model Context Protocol (MCP), the fast-growing standard for connecting AI agents to external services, inherits that gap from the models it sits on top of.

Penetration Testing as a Tool That Reveals the Real State of Cybersecurity

Most security measures are built on the assumption that if something is configured correctly, it is secure. But there is a big difference between "configured" and "able to withstand an attack" - a gap that cannot be seen without practical testing. Penetration testing is not just another item on a compliance checklist; it is a way to get an honest and realistic answer to the question that truly matters to a business: can an attacker reach what is most important to us?

How to Detect Man-in-the-Middle Attacks: Indicators, Methods, and Detection Gaps

Most MITM attacks don’t announce themselves. No alerts fire, no certificates visibly break, and no users report anything unusual. By the time the interception is discovered, credentials or session tokens are already in attacker hands. Knowing how to detect man-in-the-middle attacks requires looking across multiple layers: network traffic, DNS resolution, TLS certificate integrity, and session behavior.

QEMU abused to evade detection and enable ransomware delivery

Sophos analysts are investigating the active abuse of QEMU, an “open-source machine emulator and virtualizer,” by threat actors seeking to hide malicious activity within virtualized environments. Attackers are drawn to QEMU and more common hypervisor-based virtualization tools like Hyper-V, VirtualBox, and VMware because malicious activity within a virtual machine (VM) is essentially invisible to endpoint security controls and leaves little forensic evidence on the host itself.

Analyzing the RondoDox Botnet: A DDoS and Mining Threat

A few weeks ago we published the first part of this series where we described the infrastructure used by the RondoDox threat actors to scan and exploit vulnerable systems. In this second post we’ll take a deep dive into the malware that is deployed into vulnerable systems. Specifically, we’ll look at the initial implant used to fetch the RondoDox binary and the binary itself, detailing its behaviour, how it communicates with the Command and Control (C2), and its malicious capabilities.

How Lean Security Teams Stay Ahead of AI-Powered Attacks

In “Terminator 2“, the T-800 does not win because humans worked harder. It wins because the same machine capability that made it dangerous was reprogrammed to fight for the defenders. Project Glasswing is exactly that. Claude Mythos Preview is Anthropic’s most powerful AI model and the one they refused to release publicly because it autonomously found thousands of zero-day vulnerabilities across every major operating system and browser. Flaws that decades of expert review never caught.

Understanding how attackers think & how you avoid threats with Terry Bradley, Mile High Cyber [311]

Terry Bradley, Founder and President of Mile High Cyber, shares how you can uncover vulnerabilities and strengthen your organization's defenses with expert penetration testing and security assessments.