Alexey Khitrov, Founder & President, ID R&D, said “The launch of GPT-4 by OpenAI onto the market heralds a new pace for the advancement of generative software. With enhanced scope to emulate human-level performance in academic scenarios, the refinement of the technology is truly impressive, but these improved capabilities also offer cybercriminals more ways to make their fraud operations more effective and scalable.”
He adds, “Augmented language processing means that written responses used for fraud purposes can become more convincing. This will make it harder for targeted victims to discern whether they are interacting with human or machine in real-time, and if they are being deceived by sophisticated phishing or vishing attempts, especially as automated services are popularised and trained AI voice and video becomes more compelling.”
Tech-based countermeasures
GPT-4 can run text outputs given inputs made of arbitrarily interlaced text and images"
Alexey Khitrov continues, “As cybercriminals learn to access and use generative technology, traditional anti-fraud measures may no longer be fit for purpose. GPT-4 can run text outputs given inputs made of arbitrarily interlaced text and images, and with this development, we could see virtual fraud activity bypassing CAPTCHA. When AI dispenses with defence measures, it can be used to target vulnerable people, gain trust, and then steal information.”
He adds, “As the capabilities of generative AI grow and commoditise, their scope to be used for criminal intentions increases, just as we have seen with deepfakes. Large Language Models are widely available; they present persuasive styles of coherent human response that can be weaponised, used to create synthetic identities, and turn amateur cybercriminals into professionals.”
“To combat fresh cyber threats, we will need to fight AI with AI, and leverage tech-based countermeasures to detect fraud at scale, with everything from chatbot to deepfakes, to stop cybercrime dead in its tracks,” stated Alexey Khitrov, Founder & President, ID R&D.