Adopting AI in S&P 500 companies poses new security challenges

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“It's not enough to deploy AI and want the best,” said Wilvinas Gilnas, product director at nexos.ai.

The adoption of artificial intelligence in S&P 500 companies poses new security challenges, research

July 24, 2025 – As AI becomes the center of operation of America's largest companies, recent research reveals potential security vulnerabilities that can affect both organizations and their customers.

An analysis by CyberNews cybersecurity experts has investigated AI deployments across the S&P 500, revealing 1,000 potential weaknesses that can lead to data exposure, unique information theft and false AI actions.

The study found that 327 S&P 500 companies are publicly available using AI tools in their operations in sectors such as finance, healthcare, manufacturing and energy.

While these tools accelerate innovation and efficiency, safety measures are still fully catching up and systems are open to misuse or failure. This violates the risk of inaccurate or misleading AI output, unintended disclosure of sensitive data, and corporate secrets.

“It's not enough to deploy AI and expect the best. Companies need to develop AI with the same safety standards as planes. Run away,” said Wilvinas Gilnas, product director at nexos.ai.

Potential vulnerabilities span multiple industries. Technology and semiconductor companies are particularly vulnerable to data leaks and intellectual property risks. Financial institutions may face challenges in protecting client data while ensuring that AI does not strengthen unfair bias in lending.

Healthcare providers have an additional responsibility to protect patients from defective, AI-driven recommendations. Meanwhile, the industrial and infrastructure sectors need to prevent disruptions that can affect critical services such as power and supply chain operations.

For consumers, the outcome is concrete. Unprotected AI systems risk leaking private details, so from medical history to financial records – flawed AI judgments can affect decisions that directly affect people's health and finances.

As AI tools play a bigger role in retail, banking, transportation and other areas, protecting these technologies will become essential to public protection.

The report highlights past incidents that demonstrate these dangers. IBM's Watson once offered suggestions for unsafe cancer treatments. Apple's credit system faced scrutiny after allegations of gender bias. Zillow's AI-driven prices have resulted in significant financial losses. Additionally, Samsung has experienced unintended source code disclosure due to the inappropriate use of AI chatbots by employees.

“AI is deeply embedded in business operations, and risks are increasing. The lessons from all these incidents are clear. Robust security and unconfirmed deployments without supervision lead to real-world failure.”

As AI transforms businesses further, past incidents and potential threats demonstrate how important it is to improve security strategies in parallel.

About CyberNews

CyberNews is a globally recognized independent media outlet where journalists and security experts expose cyber through research, testing and data. Founded in 2019 in response to growing concerns about online security, the site covers breaking news, conducts original research and offers a unique perspective on the evolving digital security environment. Through White Hat's research technology, CyberNeuwers research teams identify and safely disclose cybersecurity threats and vulnerabilities, while the editorial team provides cybersecurity-related news, analysis and opinions from industry actors with complete independence. CyberNews is attracting worldwide attention for its influential research and discoveries that have revealed some of the Internet's most important security exposures and data leaks.