Analysis of how ShinyHunters has evolved into a new operational threat, emphasizing AI-enabled capabilities and a scalable criminal model.
ShinyHunters · The New APT Model.
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Risk Control
100 posts
The OAuth Permission Apocalypse.
An analysis of the widespread OAuth permission issues that enable supply chain attacks, with parallels to SQL injection vulnerabilities and implications for enterprise security.
The Defender’s Counter-Cascade.
Google and Anthropic lead a major AI-driven security deployment, but the deployment gap leaves most enterprises vulnerable as offensive AI exploits emerge.
The Compounding Error Problem — Why 99.9% Alignment Decays to 60% in 500 Generations
Research shows that even 99.9% alignment accuracy per generation can decay sharply over multiple AI generations, raising control concerns.
The 90-Day Window Closed. Nobody Sent a Notice.
The traditional 90-day window for responsible vulnerability disclosure has effectively ended, with no notice sent by vendors or researchers, raising security concerns.
The Power Bottleneck: AI Data Centers and the Grid Cliff Approaching 2027-2028
Power constraints threaten AI data center expansion by 2027-2028, risking delays amid rising demand and slow grid upgrades, with significant industry implications.
Are Polymarket Trading Bots Actually Profitable? The Math Behind 2026’s Prediction-Market Arbitrage Industry
An on-chain analysis reveals only 0.51% of wallets profit over $1,000 from Polymarket bots in 2024-2025, with most strategies unprofitable for retail traders.
The 2028 Model Lab Endgame: How Six Becomes Two, Three, or Twelve
Forecasts for 2028 suggest Western AI labs could consolidate into two, three, or twelve entities, with significant implications for the industry and capital flows.
Incident Response for Lost Test Devices: A Checklist You’ll Thank Yourself For
For effective incident response to lost test devices, follow this checklist to safeguard data—and discover strategies you won’t want to miss.
Threat Modeling for QA Labs: What Could Go Wrong (and How to Prevent It)
Great threat modeling reveals potential vulnerabilities in QA labs, helping you prevent security breaches before they happen—discover how to safeguard your environment effectively.
