Collect
Monitor high-signal developments across security, privacy, and AI governance.
Independent risk journal
Global reporting on security failures, privacy erosion, and AI risk.
ZeroDayDiary tracks the developments that matter after the headlines move on: breaches, surveillance shifts, governance failures, safety regressions, and model misuse.
Git-firstEvery change is reviewable
Static by designFast, low-maintenance, low surface area
Operator-focusedSignal over commentary
Current posture
Three lanes, one editorial filter.
- Security: breaches, exploit chains, systemic weaknesses
- Privacy: surveillance, data misuse, regulatory drift
- AI risk: misuse, governance failures, safety regressions
Publishing chain
Draft in Markdown → review in pull request → CI checks → deploy to edge.
Method
Built like a system, not a brochure.
Reduce
Strip out noise, hype, and duplicated reporting to get to the operational substance.
Publish
Ship briefings through a reviewable workflow with reproducible deployment.
Featured briefing
Start with the current lead entry
AI governance failures are often approval failures
Many deployment problems begin before an incident: in approval paths, risk ownership, and the quiet normalization of unclear responsibility.
Recent entries
New briefings
AI risk reporting should focus on deployment reality
The most important AI risk signals usually come from deployment, incentives, and governance gaps rather than model capability spectacle alone.
Global breach tracking needs better memory
Why security coverage often loses the thread after the initial disclosure and why durable event tracking matters more than reactive headlines.
Operating model
No email funnel. No PII burden. Just the archive.
ZeroDayDiary is being built as a public reference point for globally relevant breach, security, privacy, and AI risk events — without mailing-list management or personal data capture.