No laces, just leaks: Adidas hit data injuries to suppliers!

Adidas has joined the growing list of global companies that deal with data security losses after he had confirmed a violation in which personal contact details were accessed via a provider of third -party providers. While the company insists that no passwords or payment information has been affected, the incident coincides with broader fears around data weak spots – especially at the age of generative AI. A new report shows that almost 70% of Indian companies regard Genai as their most urgent security challenge.

Adidas Breach: third -party provider leaves customer information exposed

In a statement published on Friday, Adidas confirmed that a data injury had occurred with personal contact details that were triggered by a third-party customer provider. Although the customer assured the customer on the German sports clothing giants that no passwords or payment card data were accessed, the disclosure has triggered a new examination of the safety of the supply chain and the monitoring of third -party providers.

The violation affects customers who had contacted Adidas support teams in the past. The company has not yet announced the number of people affected, but has started to notify affected users and to engage cyber security experts with the investigation of the incident.

“We immediately took steps to contain the incident and initiated a comprehensive examination,” said Adidas. Although the violation is relatively included, it underlines the fragile reality of modern data ecosystems, where even companies with strong internal security protocols are still exposed to outsourced services.

India AI dilemma: 70% of companies see Genai as the new nightmare of security

In a parallel development, the report from 2025 Thales Data Threat shows a growing fear among companies worldwide, especially in India, about the risks equipped by generative AI (Genai) systems. According to the survey, which was carried out by the 451 research unit of S&P Global, 70% of Indian organizations named the fast use of Genai as their most important security concerns – the threats to data injuries, malware or insider.

The report gained knowledge of over 3,100 IT and security specialists in 20 countries and 15 industries. While Genai promises transformative productivity and automation gains, it is heavily based on enormous amounts of sensitive data for training and inference – reducing red flags via data government, model integrity and content abuse.

“Gena use companies faster than they can understand,” said Eric Hanselman, Chief Analyst at 451 Research. He pointed out the explosion of SaaS tools that integrate AI characteristics as further complicated risk landscapes.

Speed ​​vs. Security: a global technical billing

Together, these developments represent two sides of the same coin: the convergence of convenience and vulnerability. Whether with third-party providers or state-of-the-art AI systems, organizations move quickly-cherry at the expense of safety hygiene.

In Adidas' case, the violation is a memory of the fact that the data supply officers do not end in the firewall. Even large companies directed with consumers are delivered to their extended technical supply chains. In the AI ​​area, the rush to obtain a competitive advantage collides with increasing awareness of the use, bias and the possible abuse of models that are trained on personal or copyright -protected data.

Since cybercrime develops as quickly as the tools that should prevent it, experts warn that security must become an integrated component of digital innovation – not a footnote.