The Hidden AI Security Risks Threatening Businesses

As businesses race to adopt artificial intelligence, new security risks are emerging alongside the technology’s benefits. These threats are challenging traditional security practices and introducing vulnerabilities that organizations may not be equipped to recognize or manage. As AI takes on a greater role in daily workflows and decision-making, leaders must understand how their organizations’ exposure is changing.

Protecting business systems and sensitive information requires more than adapting existing cybersecurity defenses; it also means considering the unique risks associated with AI technologies. Below, members of Forbes Technology Council highlight AI security risks business and tech leaders need to understand and share practical ways organizations can address them.

Sensitive Data Exposure Through AI Prompts

AI prompts can silently leak more sensitive information than most tech leaders imagine. For any AI tool, understand what goes into the underlying LLM, who hosts it and what privacy and security measures are provided. The more concentrated your LLM infrastructure or provider, the better your chance to guardrail your business’s sensitive information. - Alekh Jindal, Tursio

AI-Accelerated Zero-Day Exploits

AI makes it very easy to find and exploit zero-day vulnerabilities in an operating system, hypervisor or anywhere in infrastructure. This means that the whack-a-mole game of patching systems as quickly as possible won’t work anymore. What tech leaders need to understand is that the game has shifted to prevention—the key is securing the infrastructure in a way that, even if there’s a zero-day, the data is still safe. - Ayal Yogev, Anjuna Security

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