Publisher & Editor in Chief

Jayne Lytel

From newsroom to fiction to code.

Jayne Lytel is publisher and editor in chief of The Big Drop. She is also an author and cybersecurity professional whose fiction draws on her experience in artificial intelligence, investigative journalism, and cybersecurity.

As Chief AI Architect at capMedia Inc., Jayne brings a decade in cybersecurity as a federal contractor—including four years at Booz Allen Hamilton—and an AI Fellowship at the R42 Institute.

Her path to writing wound through the newsroom of The Washington Post, where she worked as a copy editor. She served as Washington Deputy Bureau Chief for Institutional Investor Inc. and wrote the syndicated Internet911 column for United Features Syndicate for five years.

Lytel is author of Act Early Against Autism (Perigee, 2008). Her debut psychological eco-thriller, Run From Sunday, is forthcoming by Bold Story Press.

In October 1993, Jayne founded the first newsletter chronicling the Internet's commercial rise—a publication where the CIA called her and invited her to visit headquarters, which she did.

Beyond her professional work, Jayne is a member of the National Press Club and serves on the Club's Press Freedom advisory board. She conceived and developed the Baby Brain Map, an interactive adaptation of Erikson Institute's Brainwonders for child brain development.

Jayne Lytel

About The Big Drop

The worst news of the day, every day.

The Big Drop is a daily interstitial on the Pipeline Infrastructure Daily map. Each issue pulls the day's worst pipeline-and-data-center news into one short briefing—what changed, why it matters, and what it would take to change back.

The recurring "How Bad Is It?" sidebar drills into one specific vulnerability in U.S. pipeline infrastructure per issue. It identifies the vulnerability and the manufacturer, reports current measurable exposure from Shodan, scores the likelihood on a transparent rubric, and tells the reader what a realistic worst case looks like. The numbers are date-stamped and re-checked each week, so trendlines—not single snapshots—drive the meter.

Methodology

How the numbers are produced.

Disclosure

The making of The Big Drop.

Disclosure To devise The Big Drop, the author used generative AI and numerous API keys and MCP servers and combined it with her knowledge of industrial control systems and cybersecurity. AI assists with research synthesis, code generation for the data pipeline, and prose drafting. All facts are anchored to primary sources linked in the issue. Editorial judgment by and large is discreet and related to the daily interstitial. Verify any information if you plan to act on it.