ChatGPT is a highly advanced AI language model that offers a range of benefits for users, including fast and accurate responses, 24/7 availability, and language support in multiple languages. However, while ChatGPT’s capabilities are impressive, there are some potential drawbacks to consider, such as the risk of biases in responses and limitations in understanding context and emotions.
The search of information has resulted in the creation of artificial intelligence (AI), which has allowed us to decipher and replicate the human mind. ChatGPT, a text-based Large Language Model (LLM) AI chatbot, is another milestone in this path. The chatbot has demonstrated the great capacity of AI to open a world of astounding new talents, from precisely resolving code faults and making 3D animations to generating food recipes and even writing complete songs. Nevertheless, AI is viewed as a double-edged sword in the world of cyber security, since specialists have access to AI-powered security solutions and products, but amateur hackers may use the same technology to construct sophisticated malware programmes and carry out stealth assaults.
Is there anything wrong with the new chatbot?
With the November debut of ChatGPT, tech professionals and critics have grown more concerned about the impact AI-generated content tools may have on cybersecurity. According to a recent report, ransomware and malware will be the leading sources of cyberattacks in 2023. AI-powered technologies like ChatGPT have made it easier for bad actors to get started, and Singapore’s Government Technology Agency proved AI writing better phishing emails and texts than any human actor could. ChatGPT has built-in controls to dispute false premises and refuse improper requests, and it created a near-perfect phishing email that sounded ‘weirdly human’ with a few creative suggestions. LLMs like ChatGPT can cover a void that was previously filled by expertise or companies like Ransomware-as-a-Service (RaaS) groups, but the expense of deploying such AI tools at scale for malevolent reasons remains too exorbitant for individual cyber attackers to justify. State-sponsored attacks will face the same issue.
How should the problems be addressed?
According to a research, cyber extortion methods such as ransomware assaults rank second among company and cyber executives’ personal cyber security worries. This is owing to the increasing popularity of RaaS groups and AI-powered solutions like ChatGPT. After the release of the Union Budget, the emphasis on a National Data Governance Policy means that AI-led advancements in cyber security will need to be actively watched. As AI-powered assaults grow more common, organisations, governments, and people will need to rely on new technologies such as AI and Machine Learning to produce their own automated replies. Organizations can provide a basic degree of cyber security by deploying basic automation and mitigation measures, but this does not guarantee protection from newer, more complex attacks.
Utilizing AI technologies in a more responsible and ethical manner
With expenditures in cyber security infrastructure, alliances, and skilling efforts, the government’s heightened emphasis on cyber security comes as no surprise. Yet, managing the cyber security landscape presents a variety of problems for firms, including technical complexities, human components, and ethical issues. Creating corporate policies is crucial to doing business ethically while increasing cyber security, as well as developing effective governance and regulatory frameworks that allow more faith that AI technologies will be secure and dependable while contributing to a just and sustainable society. The delicate balance between AI and people will be critical in maintaining a secure cyber security ecosystem in which trust, transparency, and accountability enhance machine benefits.
