dr.chaos
Adversarial AI

AI and Machine Learning for the Masses

Aamir Lakhani1 min read

On this episode of the Dr. Chaos podcast, we have an expert presenting how AI and Machine learning work. The difference here is this presentation is for the masses, for the IT guy, for the network engineer, and for the C-Level executives. You don’t need to be a data scientist today. We recommend the YouTube version in order to see the presentation and slides.

Tags:#AI#Artificial Intelligence#Machine Learning#podcast

Aamir Lakhani

Founder · Dr. Chaos

Aamir Lakhani is a leading senior security strategist responsible for providing IT security solutions to major enterprises and government organizations. He creates technical security strategies and leads security implementation projects for…

Share:X / TwitterLinkedInBlueskyMastodonHacker News

~/related

Keep digging

More research along the same attack path.

Adversarial AIOffensive Security

Kimi K3 and K3 Swarm: An Open-Weight Model Review from the Red Team Chair

A balanced cybersecurity review of Moonshot's Kimi K3 and the multi-agent K3 Swarm. Not "is it smart" but the question a red team actually asks: does an open, self-hostable, agentic model make you more effective on an engagement, and what does it give you that Claude and GPT cannot? Data that stays in the room, no vendor holding your engagement hostage, cost at scale, and a swarm that fits the work, weighed honestly against where the closed frontier models still win.

Aamir Lakhani13 min read
Adversarial AIOffensive Security

The State of AI Automation: Zapier vs Make vs n8n, Through a Red Team Lens

AI automation quietly became critical infrastructure that security never signed off on. A deep look at where automation actually is in 2026, the real differences between Zapier, Make, and n8n, when to reach for each, and why every one of them is a beautiful new attack surface: standing credentials, unauthenticated webhooks, shadow automation, and prompt injection into agents that hold tools.

Aamir Lakhani15 min read