Meta’s Muse is more than a chatbot. It is a digital worker that can read email, make purchases across the web, and act after users close the app. Wall Street sees a return on Meta’s vast AI spending. Cybersecurity experts see a more urgent question: should it hold the keys to our digital lives yet?
Dell’s US$95 billion AI-server backlog and US$74 billion revenue outlook show the AI boom moving beyond a few cloud giants into enterprise, sovereign and neocloud infrastructure procurement.
Meta has come back to the consumer, and it has come back armed. Muse reads inboxes, drives a browser, books travel and pays. Meta has not led with intelligence. It has led with containment. A model that says the wrong thing is an embarrassment. An agent that does the wrong thing is now an incident.
One of the largest lead generation datasets ever compiled has been found exposed online, containing 4.3 billion professional records in a 16 terabyte unsecured database.
Cyber News Centre’s cyber update for 15th December 2025: One of the largest lead generation datasets ever compiled has been found exposed online, containing 4.3 billion professional records in a 16 terabyte unsecured database.
The database, believed to belong to a lead generation company, contained professionally scraped and enriched data from sources including LinkedIn and Apollo.io. Lead generation firms compile and sell large scale B2B databases to help businesses find and connect with potential customers.
Update: A 16 terabyte unsecured MongoDB database containing 4.3 billion professional records was discovered exposed on the internet without a password. The dataset, found by security researcher Bob Diachenko in collaboration with nexos.ai on November 23, 2025, was secured two days after the apparent owner was notified. The trove includes nine collections of scraped and enriched data, with at least three containing personally identifiable information on nearly two billion records. Exposed data includes full names, email addresses, phone numbers, LinkedIn URLs, job titles, employers, employment histories, education, locations, skills and in some cases profile photographs.
The database also contained sitemap records linking to a lead generation company’s website, which advertises access to over 700 million professionals, a figure that closely matches the size of one of the database’s collections. The timestamps suggest the data was collected or updated in 2025, making it a fresh and globally relevant dataset. The incident highlights the ongoing risks of unsecured databases and the industrial scale scraping of professional networking platforms for commercial purposes, creating a goldmine for malicious actors.
Why it Matters: This breach provides a ready made blueprint for sophisticated, AI driven social engineering attacks on a global scale, affecting professionals and organisations in Australia and worldwide. With structured data on billions of individuals, malicious actors can automate highly personalised phishing campaigns, business email compromise schemes and CEO fraud with unprecedented efficiency.
The dataset acts as a foundational layer for profile enrichment, allowing criminals to fuse it with other leaked data such as passwords to create comprehensive dossiers for targeted attacks. For Australian businesses, this means a heightened risk of employees being targeted by convincing, context aware scams that reference their specific roles, colleagues and work histories, bypassing traditional security filters.
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