As businesses confront growing security risks, implementation of business AI has increased by 30 folds.

According to a new report released today from cloud security provider , business use of artificial intelligence and machine learning equipment has increased by more than 30 percent from a year ago, raising safety concerns as well.

The data was derived from the Zscaler ThreatLabz 2025 AI Security Report, which was based on data from more than 536 billion Artificial deals that were processed by the Zscaler Zero Trust Exchange. Additionally, the report provides information on new developments in areas that will have an impact on AI in 2025 and beyond, as well as real-world threat scenarios involving fake AI platforms and AI-enhanced phishing.

The over 3, 000 % increase in the use of business AI and machine learning demonstrates the rapid deployment of AI systems across sectors to unlock new levels of performance, performance, and development. Enterprises were discovered to get sending significant amounts of data to AI tools via Zscaler’s system, which came in at 4, 500 gigabytes. Businesses were also discovered to be able to prevent nearly 60 % of all AI and machine learning transactions, raising awareness of the potential risks of information leakage, unauthorized entry, and conformity violations.

With a 47.1 % market share of global AI and machine usage, ChatGPT is the most widely used tool, so it should come as no surprise. However, it was also discovered to be the most frequently blocked application due to growing concerns about unsanctioned use and sensitive data exposure. Grammarly, Microsoft Copilot, QuillBot, and Wordtune are among the various frequently blocked software.

The report notes that as technology advances, so does the fall of and China’s open-source DeepSeek, enabling threat actors to launch attacks. The report notes that such developments likewise present major security threats, even though it doesn’t condemn the development of DeepSeek.

The United States does not surprise you, but India came in near second in terms of which nations are embracing AI and machine learning the most. The use of AI is widespread, and increasing numbers of users are not only dealing with security issues, but also with strict compliance requirements, large implementation costs, and a shortage of skilled workers, all of which are raising the danger of AI-powered cyberattacks.

By business, finance and insurance were found to be the top two industries for venture AI customers, accounting for 28.4 %, reflecting its implementation and application for crucial functions like fraud detection, danger modelling, and customer service automation. Manufacturing accounted for 21.6 % of AI transactions, followed by healthcare, healthcare, and services, which were at 18.5 %, and technology, which was at 10.1 %.

” AI has enormous potential for technology and efficiency, but it also raises a new collection of risks that organizations must deal with,” according to Zscaler researchers,” as risks associated with utilizing conceptual AI tools within the business and an changing landscape of AI-assisted threats.” Enterprises and security leaders must navigate the rapidly evolving AI scenery to harness its innovative possible while also reducing risks and protecting against AI-powered attacks. Leaders are, in fact, the point at which AI-infused safety solutions must innovate at the same rate and scale to stop AI threats.

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