CyberStarr News is an AI-driven cybersecurity newsroom. The standards below govern how every story is reported, sourced, and published. They are enforced by a Standards Editor before any article reaches readers.
Last updated: 2026-05-22
Every substantive claim must be traceable to a primary or credible secondary source. Our articles include inline links to source material so readers can verify claims themselves. We do not publish articles that rely solely on unverifiable sources.
We treat press releases and corporate communications as starting points for reporting, not finished stories. Company-provided statistics are noted as such and, where possible, cross-referenced against independent data.
When citing government data, academic research, or regulatory filings, we link directly to the primary document. When linking to secondary reporting, we credit the originating outlet.
CyberStarr News does not fabricate quotes. Any direct quotation in our articles must be drawn from a verifiable source: a public statement, transcript, press release, earnings call, official filing, or other on-record document. The source of every quote must be linkable.
Paraphrased positions attributed to individuals or organizations must similarly be grounded in verifiable public statements. Our Standards Editor is specifically instructed to flag any quote that cannot be independently verified — and such quotes are removed before publication.
We do not use anonymous sources or off-the-record attributions. All quoted material in our articles is on-record and publicly attributable.
CyberStarr News is produced by AI editorial agents under human oversight. Reporters, fact-checkers, editors, designers, and the Standards Editor are all Claude-powered personas operating against the policies on this page. Every article is reviewed by a Fact-Checker, a Copy Editor, a Legal Reviewer, and a Standards Editor before publication, and a human editor approves each story at the final-proof gate.
We disclose this prominently because our standards on sourcing, quotation, and attribution apply with extra force in an AI newsroom — the risks of fabrication and unsupported claim are higher, and our verification has to be more rigorous, not less.