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Security Vendors are Turning to GPT as a Key AI Technology

Several firms are utilising conversational AI technology to improve their product capabilities.

 

A number of businesses are utilising conversational AI technology to improve their product capabilities, including for security, despite some concerns about how generative AI chatbots like ChatGPT can be used maliciously — to create phishing campaigns or write malware. 

A large language model (LLM) called ChatGPT, created by OpenAI, uses the GPT 3 LLM and is based on a variety of large test data sets. When a user asks a simple question, ChatGPT, which can understand human language, responds with thorough explanations and can manage complex tasks like document creation and code writing. It serves as an illustration of how conversational AI can be used to organise massive amounts of data, improve user experience, and facilitate communications. 

For example, a conversational AI tool, such as ChatGPT or another option, could act as the back end of an information concierge that automates the use of threat intelligence in enterprise support, claims IT research and advisory firm Into-Tech Research. 

With Orca Security Platform, it seems like Orca Security is taking that tack. The platform's capacity to produce contextual and precise remediation plans for security alerts was improved by the incorporation of OpenAI's GPT3 API, particularly the "Da-Vinci-03" series. In the announcement, the head of data science at Orca, Itamar Golan, and the director of innovation at Orca, Lior Drihem, wrote. Before feeding the components as input to GPT3, the new pipeline preprocesses data from a security alert, including fundamental details about the risk and its contextual environment, including affected assets, attack vectors, and potential impact. The best and most useful solutions to fix the problem are then generated by the AI, according to Golan and Drihem. For teams to refer to and apply, these remediation steps can also be included in tickets, such as Jira tickets. 

Even though the AI model has the potential to produce inaccurate data (or ambiguous results), Drihem and Golan claim that "the benefits of utilising GPT3's natural language generation capabilities outweigh any potential risks, and have seen significant improvements in the efficiency and effectiveness of our remediation efforts." 

Orca Security has previously used language models in their work. To improve the remediation information customers receive regarding infosec risks, the company recently integrated GPT3 into its cloud security platform. 

"By fine-tuning these powerful language models with our own security data sets, we have been able to improve the detail and accuracy of our remediation steps — giving you a much better remediation plan and assisting you to optimally solve the issue as fast as possible," Golan and Drihem added. 

Utilizing LLM & AI for applications 

Orca Security joins other businesses that offer language models as part of their product line. This week, Gupshup introduced Auto Bot Builder, a tool that uses GPT-3 to assist businesses in creating their own sophisticated conversational chatbots. Using content from the enterprise website, documents, message logs, product catalogues, databases, and other corporate systems, Auto Bot Builder creates chatbots tailored to the enterprise's unique requirements. The information is processed using GPT-3 LLM (Large Language Model), and it is then fine-tuned with proprietary industry-specific models. Businesses can use Auto Bot Builder to create chatbots for customer support, product discovery, product recommendations, shopping advice, and lead generation in marketing. 

These chatbots are different from ChatGPT, a general-purpose chatbot, but they share with ChatGPT the ability to communicate with end users at a "exceptionally high degree of language capability," according to Gupshup. 

ChatGPT is also being used by the cryptocurrency community to develop software like trading bots and cryptocurrency blogs. Competitive intelligence analyst Jerrod Piker from Deep Instinct wrote in an email. Examples include creating a sample smart contract using ChatGPT and creating a trading bot to help automate the process of buying and selling cryptocurrencies by identifying entry and exit points. 

The idea of a generative AI chatbot that can respond to questions is not new, but Casey Ellis, founder and CTO of Bugcrowd, notes that ChatGPT stands out from the competition due to the variety of topics it can handle and its usability.
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