Dealing with cybersecurity risks caused by Generative AI

Generative AI's remarkable ability to imitate human communication poses a significant security concern

Throughout history, the digital landscape has been shaped by transformative innovations that have revolutionized our world. From the introduction of the printing press to the emergence of the internet, each disruptive technology has had profound implications. Today, another groundbreaking technology, generative AI, is capturing the attention of industries worldwide with its immense potential. However, as organizations eagerly embrace the capabilities of generative AI, Chief Information Security Officers (CISOs) face a crucial responsibility in understanding the distinctive cybersecurity risks that accompany this technology – risks that differ significantly from any seen before.

Unprecedented Adoption:

Generative AI has sparked unparalleled enthusiasm within the business landscape. A recent survey conducted shortly after the public release of ChatGPT showcased its rapid adoption, with 49% of companies already utilizing the technology and an additional 30% planning to implement it in the near future. What’s even more impressive is that 93% of early adopters expressed their intention to expand its usage even further. The applications of generative AI are diverse, ranging from generating documents and creating code to enhancing customer service interactions. And this is just the beginning, as advocates believe that generative AI has the potential to address complex challenges such as climate change and revolutionize the healthcare industry. The possibilities are vast and exciting.

Unraveling the Distinctiveness of Generative AI:

Although machine learning (ML) and early AI have been prominent in various fields, generative AI stands out for its unique characteristics. Unlike traditional ML algorithms that remain fixed and static, generative AI algorithms continuously evolve by leveraging past experiences to generate entirely new information. This dynamic nature empowers generative AI to present novel challenges in the field of cybersecurity, thereby elevating the risk landscape to new heights.

To unfold the risks involved, the key is to ask the right security questions in order to understand what you are dealing with here, like:

Whom are you really talking with?

Generative AI’s remarkable ability to imitate human communication poses a significant security concern. Cybercriminals can exploit this feature to orchestrate sophisticated phishing schemes, producing polished and error-free texts and emails that mimic trusted individuals or companies. With the advent of deep fake technologies, which can replicate faces and voices, the potential for deception amplifies further.

Who owns your information?

Enterprises embracing AI chatbots often overlook the implications for their sensitive data. Inputting confidential or proprietary information into public AI platforms exposes that data to potential risks. Even if privacy protections are in place, the information shared during conversations can have long-lasting effects, potentially eroding control over valuable corporate data.

Can you trust what generative AI tells you?

AI chatbots have exhibited susceptibility to generating false information, sometimes referred to as “hallucinations.” Relying on and disseminating such erroneous outputs can pose strategic and reputational risks for businesses. Furthermore, generative AI’s vulnerability to misinformation threatens the integrity of AI platforms, especially when training on real-time datasets, leaving room for skewed outputs that may compromise safety and security.

Mitigating Generative AI Security Risks:

Vijendra Katiyar,
Country Manager for India & SAARC at Trend Micro

The cybersecurity community is actively developing AI-driven software to counter the risks posed by generative AI, such as identifying AI-generated phishing scams and deep fakes. However, organizations must also exercise their vigilance. Generative AI challenges traditional information silos and necessitates a combination of technological tools and informed policies. It is crucial to recognize that the use of public AI platforms by employees, partners, and customers may unwittingly expose sensitive corporate information.

Thus, Generative AI does hold immense potential, revolutionizing various aspects of our lives. However, with great power comes great responsibility, so organizations must proactively address the unique cybersecurity risks posed by generative AI.

Disclaimer: The views expressed in this article are those of the author and do not necessarily reflect the views of ET Edge Insights, its management, or its members

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