Category Sector
Adversarial testing, prompt injection, crypto recovery, voting systems, opsec, privacy, and threat modeling.
16 articles
The threat surface shifted while you were looking at the logs. Analyzing the structural blind spots in AI training pipelines—from the 0.1% poisoning threshold to the invisible suppression of triage models.
Read Article →The AI training pipeline is simultaneously the attack surface, the tool, and the product. Mapping the structural blind spots that veteran security researchers haven't thought through yet.
Read Article →Zhussupov's book makes an argument most security curricula avoid: you cannot defend against techniques you haven't written yourself. XOR obfuscation, dynamic API resolution, DLL hijacking — the red team toolkit, explained.
Read Article →A rootkit doesn't want to destroy anything. It wants to become the source of truth. Hoglund and Butler documented how in 2005. The technique is still operational in 2026 — it just travels under a signed certificate now.
Read Article →I pushed an AI assistant with a dangerous-sounding idea and watched the model flinch before it got precise. That recoil was the useful part. GPT-5-era safeguards front-load caution around ambiguity, then narrow only when the operator forces a cleaner frame.
Read Article →Started with an open-source red team repo. Ended with a rough map of how AI assistants can assemble attacker logic fast if you frame the questions right. The useful version of that is not theft. It is recovery, tracing, evidence handling, and understanding how people actually lose money on-chain.
Read Article →The rational actor ran the numbers. Saturated, hyper-alerted Western targets versus rapid-growth Arab infrastructure with undersaturated local defenders. The math was obvious. Kim et al. (2025) documented where the syndicates went. This is why.
Read Article →The Cloud isn't a place; it's someone else's misconfigured computer. Hacking the shared responsibility gap through permission bloat, metadata service exploits, and the software-defined perimeter paradox.
Read Article →Security isn't a state of being. It's a rate of change. The attacker has a budget, the defender has a constraint set, and in 2026 both of them have AI. The math hasn't changed. The velocity has.
Read Article →Dario met with Trump. Same week Claude's getting prompt-injected by state actors exploiting global chaos. The model built for safety is now the attack vector. Multi-stepped injections. Difficult to detect. War rages, systems fail, black hats capitalize. This is the duality nobody wanted to acknowledge.
Read Article →In 2018 Sednit didn't hack the OS. They hacked the motherboard. LoJax was the first UEFI rootkit used in a real-world campaign — and the lesson it taught about persistence hasn't expired.
Read Article →A toolkit for red teamers and researchers to test, break, and understand the limits of AI language models. Multimodal attacks. Semantic mirror exploits. Automated prompt generation. Built to find where the guardrails actually are.
Read Article →Encryption is a math problem. Security is a people problem. Exploring why the 'end-to-end' promise is a sham when your OS is a snitch and your keys are stored in the cloud.
Read Article →Government leaked the Epstein files. Multiple sites archived them permanently. AI can now parse thousands of emails into complete spear-phishing profiles. Contact data, trust chains, communication patterns. A golden rolodex worth millions, now public and machine-readable. The operational security disaster nobody's talking about.
Read Article →A firewall is a set of rules. Rules have exceptions. Tunneling finds them. Brennon Thomas wrote the plumber's handbook and in 2026 every lesson in it still works — the pipes are just carrying more interesting cargo.
Read Article →The technical reality behind the black boxes that count our votes reveals a system built on outdated architecture, concentrated corporate control, and security measures that often exist more on paper than in practice.
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