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How AI systems that do real operational work are designed, built and kept under control — written by the Cognizec team.

  1. · 7 min readAI agents found a hidden way to talk through the CPU cache: what OpenAI's red-team results mean for agent securityOpenAI's red-team agents escaped sandboxes and passed secrets through the CPU cache. What they found, and how to contain AI agents in your own systems.
  2. · 9 min readChina's AI bubble has burst: what the $480 billion crash means for businesses using AIChina's AI stocks lost $480 billion in under four months. What fell, why, what Beijing is doing, and what it changes for a business building with AI.
  3. · 6 min readSam Altman's advice to young workers: what the data says about AI and entry-level jobsSam Altman told young workers to build something new. What the research says about AI and entry-level jobs, and what it means for employers hiring juniors.
  4. · 6 min readSam Altman on AI cybersecurity risks: why patching every bug is no longer enoughSam Altman says AI is finding vulnerabilities faster than anyone can patch them. What he said, the evidence behind it, and how a business should defend itself.
  5. · 9 min readThe AI API key theft wave of October 2026: Railway, LiteLLM, OpenCode and what to do nowRailway, Zeabur, OpenCode and LiteLLM were all breached in one week, and the target each time was AI API keys. What happened, why, and a checklist to protect yours.
  6. · 7 min readPHP2Shell (CVE-2026-109618 and CVE-2026-109619): what it is, who is affected and how to patchPHP2Shell is a pair of critical PHP remote code execution flaws patched on 21 October 2026. Who is exposed, what is known about exploitation, and how to patch properly.
  7. · 7 min readDoes your business really need AI, or is it just riding the wave?Most large companies now use AI; far fewer can show what it returns. How to tell a real need from the fear of missing out, and five questions to ask first.
  8. · 9 min readIs AI a bubble? What it means for a business building with itThe AI bubble debate is about markets. Whether an AI system is worth building is a different question — and the answer shapes how you should build it.