The right way to improve CTI with AI (hint: it’s the data)

Artificial intelligence

Cyber ​​threat intelligence is an effective weapon in the ongoing battle to protect digital assets and infrastructure, especially when combined with artificial intelligence. But AI is only as good as the data that powers it. Access to unique underground sources is crucial.

Threat Intelligence delivers tremendous value to people and businesses. At the same time, its ability to meet the cybersecurity needs of organizations and the benefits it provides vary by company, industry, and other factors. A common challenge with cyber threat intelligence (CTI) is that the data it produces can be vast and overwhelming, creating confusion and inefficiencies in security teams’ threat exposure management efforts. Additionally, organizations have varying levels of security maturity, which can make it difficult to access and understand CTI data.

Enter Generative AI. Many cybersecurity companies, and more specifically threat intelligence companies, are bringing generative AI to market to streamline threat intelligence and make it faster and easier to leverage valuable insights from the vast pool of CTI data. But there’s a fundamental problem with many of these AI offerings: the data they leverage is often limited, outdated, or contains inaccuracies, which then makes the AI ​​outputs buggy and unreliable.

Put simply, AI is only as good as the data that powers it. To derive significant business value from a generative AI solution, the data upon which it is based must be credible, up-to-date, and relevant. Furthermore, the intelligence that powers AI must draw from a wide range of unique sources to ensure accuracy.

This article serves as a guide to finding the right combination of CTI and Generative AI to ensure that the threat intelligence your team receives is accessible, understandable, and actionable, regardless of the user’s security maturity level. Read more about the benefits of AI and CTI in our upcoming eBook, From Artificial Intelligence to IQ: Transforming Cyber ​​Defense with Generative AI.

The importance of dark deep web sources and attack surface context

Commercially available and open source AI solutions are only as good as the data they access, and most available solutions have access to a limited set of sources. For example, if you ask chatGPT (or a ChatGPT-based product) a question about something that happened in a deep web forum or dark web marketplace, the response you receive will either be inaccurate or left blank, given its lack access to this information.

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As stated above, unique data it is crucial when relying on generative AI for credible information and answers to a range of questions, from the most basic to the most critical. For example, CISOs want to determine if their organization is susceptible to a ransomware attack or how resilient they are to phishing attacks. They also want to know if intellectual property is adequately safeguarded and which groups of threat actors pose the greatest threat.

Since most CTI solutions don’t have access to underground sources in the deep and dark web, they can’t answer these questions accurately, which means that Generative AI can’t answer these questions either. But knowing the answers is critical to an organization’s ability to manage its exposure to threats. In addition, corresponding responses must take into account the specific attack surface of the company and correlate the information with threat intelligence that provides relevant context.

Enter Cybersixgill, the missing link that unlocks the true potential of AI in helping organizations manage their exposure to threats. Not only has our full CTI been incorporated into the new Attack Surface Management module introduced earlier this year, but we’ve also added generative AI capabilities across all of our products in a solution called Cybersixgill IQ.

Using GPT models trained on Cybersixgill’s extensive and unique repository of CTI threat context, combined with your organization’s specific attack surface context, Cybersixgill IQ effortlessly provides instant and accurate answers to those senior leadership threat exposure questions seemingly simple. With the help of Cybersixgill’s Generative AI models, questions like “Does CVE XYZ impact my organization?” or “Where are our most vulnerable areas?” provide immediate, accurate and easy-to-understand answers.

Beyond Chat: Quality information with safeguards against misinformation

Most AI solutions simply offer a chat function, which can be useful in some cases but does not offer the level of actionable information needed to accelerate critical decision making. Instead, we’ve built AI into the Cybersixgill IQ solution – from automated, human-readable intelligence analysis in articles, to instant generation of high-quality intelligence reports, to an AI analyst assistant tracking your work and provides vital insights into whatever context or activity you find yourself in.

Cybersixgill IQ delivers business value by intelligently interpreting customer requests and delivering the data and insights that exactly align with the required use cases in the format they need. For example, the CEO may require a concise summary of the threat overview, or detection and response teams may need a comprehensive forensic incident report, or for MSSPs, a vulnerability exposure analysis may be required for each customer. Either way, Cybersixgill IQ delivers.

Even standard LLMs like GPT and Bard can occasionally generate “fake” or hallucinatory content. Cybersixgill IQ is designed to mitigate this problem in several ways. For example, our model is designed to query data using scoped data access and prompt engineering (Prompt engineering is the process of designing and refining prompts to achieve specific goals, such as generating content for marketing campaigns or identifying relevant information in social media posts.) We also screen out responses if the AI ​​is unsure of the outcome, and offer fast feedback loops with users to detect and mitigate bad content generated by AI.

Data privacy issues

Another area of ​​concern for AI is data privacy, as existing AI solutions approach protecting user data privacy is inconsistent. Yet this is a fundamental need that should be taken seriously when choosing a generative AI tool. At Cybersixgill, we have implemented measures to ensure that our customers and their data privacy and security are respected. Generative AI is a promising field with exciting potential. In addition to the Data Processing Addendum (DPA), we have additional measures in place to ensure the security and privacy of your data, such as minimizing data transfers, masking sensitive data, sending only metadata and the use of local processing. As we enter the new era of AI, we are implementing our solutions with a cautious and security-focused approach and do not send customer data to services like ChatGPT.

Redefining CTI through our history with AI

Not all AI solutions are created equal, and not all CTI vendors have AI-based solutions. Cybersixgill has always invested in artificial intelligence and automated processing and enrichment of our data. We’ve implemented machine learning and deep learning in recent years, as evidenced by products like DVE Intelligence, which leverages real-time NLP-based analysis of underground chatter to predict the likelihood of exploiting a short-term CVE.

Cybersixgill’s Generative AI, combined with our ASM module, is the long-awaited solution that finally unlocks the true potential of threat exposure management, providing organizations with actionable insights, simplifying complex topics, and empowering them to make informed decisions based on a comprehensive understanding of their threat landscape.

To find out more, pre-order your copy of our recent eBook, From Artificial Intelligence to IQ: Transforming Cyber ​​Defense with Generative AI.

You can also get a live demo of Cybersixgill IQ Here.

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