Virtualization Technology News and Information
Spin.AI 2024 Predictions: Generative AI Will Usher in a New Era of Compliance and Data Leak Risks


Industry executives and experts share their predictions for 2024.  Read them in this 16th annual series exclusive.

Generative AI Will Usher in a New Era of Compliance and Data Leak Risks

By Dmitry Dontov, CEO, Spin.AI

Generative AI just might be one of the most talked about technologies in recent years due to its potential for increasing innovation and efficiency across a wide variety of industries. But as the old superhero saying goes: with great power comes great responsibility-and risk. As businesses and individuals rush to adopt these tools, they often overlook the potential hazards, unwittingly exposing themselves to a spectrum of compliance and data leak risks.

With that in mind, I expect generative AI tools will lead to regulatory compliance risks, PII data leaks, privacy violations, fake AI apps and extensions, phishing and social engineering, intellectual property theft, automated content generation for cyber attacks, security of trained models, etc.

As we look at it today, regulations for generative AI tools are still nascent. As a result, we will likely see more cases of new types of data leaks due to compliance breaches and fake AI tools that steal business, PII, and personal data and that can be used as a part of a new wave of zero-day attacks.

Obviously, this will complicate regulatory compliance as well. With rules around data protection and privacy (GDPR, HIPAA, CCPA) mandating the way in which companies handle customer data, generative AI, while a boon in data processing, could inadvertently contravene these laws if not monitored properly. The tools' ability to synthesize and potentially disclose personal information poses a threat not just to privacy but to potential legal repercussions and loss of consumer trust as well.

But privacy violations are just the tip of the iceberg. The burgeoning market of AI tools has spawned a slew of fake applications. These often masquerade as legitimate software, luring users with the promise of cutting-edge technology, only to phish for sensitive information. The prevalence of such deceptive practices was echoed in our Browser Extension Risk Report, which highlighted a worrying statistic: over half of all browser extensions installed pose a high risk, including those that could be fronts for harvesting business or personal data.

Furthermore, the risks extend to intellectual property theft. AI's ability to replicate and enhance content could be weaponized to infringe on copyrights and trademarks. This would result in a significant uptick in cases where proprietary business information is being replicated and used without consent.

The content generation capabilities of AI also pose a stark threat to cybersecurity. Phishing and social engineering tactics are likely to become more sophisticated enabling cybercriminals to create highly believable fake communications. These could be used to trick individuals and employees into divulging confidential information or granting access to secure systems. Moreover, as AI models become more advanced, the security of the trained models themselves becomes a concern. If a malicious actor gains access to the model, they could potentially reverse engineer it, uncovering sensitive data used in the training process.

Thankfully, many of these issues have not yet come to pass, giving companies time to establish robust risk assessment frameworks to help identify and mitigate the potential vulnerabilities AI tools could exploit. Regular monitoring and auditing of AI systems will be crucial to ensure that they function within legal and ethical boundaries and to detect any signs of misuse or data leakage promptly. Before implementing a GenAI tool at your company, you must get full visibility of the data processing architecture to ensure it meets local regulations, best security practices, and compliance. 

With adequate user education stakeholders at every level can prepare themselves to understand the risks associated with generative AI and how to use these tools safely.

We stand on the cusp of an AI revolution, and so, we must tread carefully. The potential for innovation is enormous, but so is the potential for harm. The rapid adoption of generative AI tools necessitates a proactive stance on risk management. By anticipating and preparing for the associated compliance and data leak risks, we can harness the power of AI without falling prey to its perils. It's a delicate balancing act, but one that is critical for the secure and ethical advancement of technology in our society.



Dmitry Dontov 

Dmitry Dontov is a serial entrepreneur and founder and CEO of Spin.AI. Dmitry's innovative thinking led to the development of two patented security solutions as well as strategic partnerships with tech giants like Google, Amazon, and Microsoft, providing security solutions to organizations around the globe.

Published Monday, November 20, 2023 7:39 AM by David Marshall
There are no comments for this post.
To post a comment, you must be a registered user. Registration is free and easy! Sign up now!
<November 2023>