Published on October 16, 2023, 2:08 pm

TLDR: Generative AI and ChatGPT have the potential to revolutionize industries but also pose new cybersecurity threats. Risks include creating fabrications, deepfakes, data privacy issues, copyright problems, and cybersecurity vulnerabilities. While Generative AI can improve defenses against cyberattacks, it can also be used by attackers to identify vulnerabilities and devise attack strategies. Cybercriminals are already using ChatGPT for phishing and malware attacks. Integrating ChatGPT into an organization's cybersecurity strategy can help bridge the workforce gap but presents challenges in terms of technical and ethical concerns. Organizations need to understand algorithms, develop frameworks for ethical utilization, and address the risks associated with Generative AI. Collaboration with policymakers and oversight mechanisms will be crucial for effective management of generative AI.

Generative AI and ChatGPT have the potential to revolutionize various industries, but they also pose new cybersecurity threats. According to Forrester’s Top Cybersecurity Threats in 2023 report, these AI variants can be weaponized to enhance ransomware and social engineering techniques.

Avivah Litan, a VP analyst at Gartner, has expressed concerns about the risks associated with Generative AI. These risks include creating “hallucinations” and fabrications, deepfakes, data privacy issues, copyright problems, and cybersecurity vulnerabilities. Litan emphasizes the importance of trust and security in the future of Generative AI.

Jon France, the chief information security officer at (ISC)2, acknowledges that Generative AI is a double-edged sword. While it can help improve defenses against cyberattacks by providing insights and suggestions to educate and develop policies, it can also be used by attackers to identify vulnerabilities in systems and devise attack strategies.

France believes that existing natural language processing (NLP) models like ChatGPT can effectively detect anomalies and improve the signal-to-noise ratios for indicators of compromise and indicators of attack. However, he highlights that human oversight is still necessary for further investigation and action.

The rise of Generative AI has led to questions about its offensive capabilities in addition to its defensive potential. Cybercriminals are already leveraging ChatGPT technology to appear more human-like in phishing and malware attacks. They can use this technology to create realistic scripts for social engineering or phishing scams.

While ChatGPT offers defensive benefits as well, there are doubts about its capability among cybersecurity professionals. A recent survey conducted by (ISC)2 found that 90% of cybersecurity professionals were concerned about the increasing integration of AI and machine learning into both business and consumer technology.

Integrating ChatGPT into an organization’s cybersecurity strategy can help bridge the cybersecurity workforce gap. With a lack of skilled cybersecurity professionals globally, using ChatGPT to automate routine tasks can free up employees to focus on more complex and critical cybersecurity functions.

However, France points out that there are challenges in integrating ChatGPT into existing cybersecurity strategies. Technical and ethical concerns need to be addressed, including data collection and privacy risks. Additionally, the accuracy and content generated by ChatGPT should be carefully assessed due to well-documented cases of disproven responses and discussions around rights to use such AI-generated content.

France advises CISOs and CIOs considering the potential of ChatGPT to fully understand its algorithms before implementation. He suggests developing an organizational framework to guide employees in the ethical and safe utilization of ChatGPT. It is crucial to navigate the ethical, safety, copyright, and privacy considerations associated with these technologies.

Looking forward, Gartner’s Litan emphasizes the need for organizations to formulate an enterprise-wide strategy for AI trust, risk management, and security as Generative AI continues to develop rapidly. Collaborating with policymakers and establishing oversight mechanisms will be essential for managing generative AI effectively.

In conclusion, Generative AI has immense potential but must be approached with caution. The benefits it offers can enhance cybersecurity defenses, but it also requires diligent management of risks and alignment with ethical standards. Organizations must adapt their strategies to address the evolving landscape shaped by Generative AI technology.


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