Published on October 24, 2023, 12:51 pm

TLDR: Generative AI, like Open AI's ChatGPT, is a powerful technology that is being adopted by enterprises to improve efficiency. However, there are concerns about data privacy, copyright infringement, and potential misuse by cyber attackers. To safely embrace the benefits of generative AI, enterprises should establish robust policies, educate employees about risks, implement controls to enforce policies, and utilize data protection solutions like Symantec's Data Loss Prevention Cloud. It is crucial for organizations to stay ahead in this evolving technology and invest in security measures while harnessing the full potential of generative AI.

Generative AI, an innovative technology, is revolutionizing various industries. However, it has also sparked discussions and concerns about its impact on the future. Many of these anxieties stem from fear rather than concrete evidence of how generative AI will shape our lives.

A decade ago, experts predicted that artificial intelligence would result in a loss of nearly 50% of present jobs by 2033. Yet, we are already halfway to that point without fully autonomous self-driving cars. This serves as a reminder that early predictions about transformative technologies often miss the mark.

One particular development in generative AI that has caught significant attention is Open AI’s ChatGPT. Like many groundbreaking technologies before it, generative AI is still in its nascent stages. In just six months, we have witnessed generative AI reaching a milestone as enterprises race to adopt and implement this technology across various applications.

For most businesses, incorporating generative AI is currently an educational process aimed at improving efficiency. However, in the rush to integrate this technology into their operations, enterprises may inadvertently expose themselves to risks.

One such risk involves accidentally sharing sensitive corporate data or images when using public generative AI apps like ChatGPT. These apps operate based on a vast pool of internet knowledge, which means any information provided can be accessed by other subscribers. Protecting data privacy becomes a significant security concern for enterprises adopting generative AI.

Another concern is copyright infringement and intellectual property ownership when combining an enterprise’s own IP with outputs generated by third-party publicly accessible services. Generative AI does not validate content for bias, attribution, or copyright protection.

Furthermore, there are worries about cyber attackers leveraging generative AI as a tool for malicious purposes. Currently, generative AI focuses mainly on content development rather than developing novel attack techniques independently. However, it is crucial to continuously monitor its potential evolution and stay prepared against emerging cyber threats.

So how do enterprises embrace the benefits of generative AI while safeguarding their operations?

Securing the enterprise against potential cybersecurity risks associated with generative AI starts with establishing robust business policies and educating employees about the risks involved. Moreover, regulatory frameworks need to be developed to provide guardrails and ensure responsible use of this technology.

In addition to policy and education, enterprises must implement controls that enable them to enforce and automate policies around generative AI usage. These controls will help monitor its deployment, reducing the risks posed to the organization.

Symantec, a company with a long-standing history in AI, focuses on protecting user and enterprise intellectual property. Enterprises can feel confident about adopting generative AI tools if they already have data protection solutions like Symantec Data Loss Prevention Cloud in place. Such solutions ensure compliant data transmission to generative tools, enhancing security measures.

As we are still in the early stages of generative AI, organizations need to remain at the forefront of this technology. Companies like Symantec utilize machine learning and generative AI tools not only to identify malicious behavior but also to combat emerging threats effectively.

In conclusion, embracing generative AI is not an option for enterprises if they wish to stay competitive. However, it is vital for businesses to invest in robust security measures that allow them to harness the full potential of this transformative technology safely.

To gain further insights into the intersection of Generative AI and cybersecurity, download our whitepaper today.

About Alex Au Yeung:
Alex Au Yeung serves as the Chief Product Officer of Symantec Enterprise Division at Broadcom. With over 25 years of software experience, he is responsible for product strategy, management, and marketing across all Symantec products.

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