AT&T It says that the personal data of millions of customers has been leaked on the dark web.
“Based on our preliminary analysis, the dataset appears to date back to 2019 or earlier, with approx. 7.6 million current AT&T account holders and 65.4 million former account holders,” the company wrote on its website on Saturday (March 30). “At this time, AT&T has no evidence that data sets were stolen due to unauthorized access to its systems.”
The telecom giant said its investigation found that “fields unique to AT&T data” were part of the data set published on the dark web, but it remains unclear whether those fields came from the vendor. It is not clear which source it came from.
The data includes the customer's social security number, name, email and mailing address, phone number, date of birth, AT&T account number and passcode.
The breach occurs more than a month after the attack. Widespread outage This affected AT&T's network and attracted the attention of both the FBI and the Department of Homeland Security.
The outage affected customers in several major metropolitan areas, including New York, Houston, Atlanta, Miami, Chicago, and Dallas. According to contemporaneous reports, three other cell phone carriers (Verizon, T-Mobile, and UScellular) also experienced outages, but these outages were more limited than his AT&T outages.
Elsewhere in the data security space, PYMNTS recently discussed this topic. taylor loweCEO and Co-Founder of AI Infrastructure Platform metalhe told PYMNTS.
“For the past 10 years, only the financial sector has invested. countless amounts of money We will go into data science and build a data intelligence department,” he said.
“These organizations not only have a lot of infrastructure in place, but they also have incentives. Years of operating with a data-first mindset have paid off, and companies are recognizing the value of data-first. “We are doing it,” Lowe added. “Technologies like AI only add fuel to that fire, accelerating the insights gained from data.”
However, the report further states that due to this explosion of data, Big visibility challenges Security teams especially need to consider the gap between threat detection, data discovery, and classification.
Survey of cybersecurity companies rubric We found that the majority of companies (98%) are grappling with data visibility issues because their complex technology stacks create vulnerabilities that adversaries can exploit.
