Cyber threat intelligence, especially when combined with AI, is an effective weapon in the ongoing battle to protect digital assets and infrastructure. But the power of AI is determined by the data that feeds it. Access to unique underground resources is key.
Threat intelligence offers tremendous value to people and businesses. At the same time, the ability to address an organization’s cybersecurity needs and the benefits it provides will vary by company, industry, and other factors. A common challenge with cyber threat intelligence (CTI) is that the data it generates can be overwhelming and overwhelming, creating confusion and inefficiency in security teams’ threat exposure management efforts. There is Additionally, organizations have varying levels of security maturity, which can make CTI data difficult to access and understand.
Introduce generative AI. Many cybersecurity companies, especially threat intelligence companies, are bringing generative AI to market to simplify threat intelligence and make it faster and easier to leverage valuable insights from vast pools of CTI data. I’m here. But many of these AI products have a fundamental problem. The data leveraged is often limited, outdated, or inaccurate, making AI output flawed and unreliable.
Simply put, the power of AI is just as important as the data that feeds it. To derive meaningful business value from a generative AI solution, the data it relies on must be reliable, current, and relevant. Additionally, the intelligence that feeds AI must come 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 so that the threat intelligence your team receives is accessible, understandable, and actionable, regardless of your security maturity level. increase. Learn more about the benefits of AI and CTI in our upcoming e-book. From AI to IQ: Transforming cyber defense with generative AI.
The Importance of Deep Dark Web Sources and Attack Surface Context
The performance of commercial open source AI solutions is determined by the data they access. Also, most of the available solutions have access to a limited set of sources. For example, if you ask ChatGPT (or a ChatGPT-based product) about something that happened in a deep web forum or dark web market, the response you receive will be inaccurate or blank because it is inaccessible. to this intel.
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As described above, unique data This is very important when relying on AI to generate reliable information and answers to a wide variety of questions, from the most basic to the most important. For example, CISOs want to determine whether their organization is susceptible to ransomware attacks or how resilient they are to phishing attacks. They also want to know if their intellectual property is adequately protected and which attacker groups pose the greatest threat.
These questions cannot be accurately answered, as most CTI solutions do not have access to the deep web or dark web underground sources. In other words, generative AI cannot answer these questions either. But knowing the answer is paramount to an organization’s ability to manage its exposure to threats. Additionally, the corresponding answer should consider the company’s unique attack surface and correlate the information with threat intelligence that provides relevant context.
Cybersixgill is the missing link in unlocking the true potential of AI in managing your organization’s threat landscape. Not only has our comprehensive his CTI been incorporated into the new attack surface management module introduced earlier this year, but we have also added generative AI capabilities across the product in a solution called Cyber sixgill IQ.
By leveraging GPT models trained on Cybersixgill’s vast and unique repository of CTI threat context, combined with organization-specific attack surface context, Cybersixgill IQ is a deceptively simple senior leader. easily provide instant and accurate answers to threatened questions. With the help of Cybersixgill’s generative AI model, questions like “Is CVE XYZ impacting my organization?” or “Where are our most vulnerable areas?” Get instant, accurate, and easy-to-understand responses.
Beyond chat: quality intelligence with protection against misinformation
Most generative AI solutions simply offer chat functionality, which while helpful in some cases, doesn’t provide the level of actionable information needed to drive critical decisions. In contrast, we have built AI throughout the Cybersixgill IQ solution. From automated analysis of human-readable item intelligence, to on-the-fly generation of high-quality intelligence reports, to AI analyst assistants that follow your work, providing critical insights in any situation or activity.
Cybersixgill IQ delivers business value by intelligently interpreting customer inquiries and delivering data and insights that match exactly the use cases you need, in the format you need. For example, a CEO may require a concise summary of threat summaries, a detection and response team may require a comprehensive forensic incident report, or an MSSP may require vulnerability exposure analysis for each customer. there is. Either way, Cybersixgill IQ makes it happen.
Off-the-shelf LLMs such as GPT and Bard can also produce “fake” or hallucinatory content in some cases. Cybersixgill IQ is designed to alleviate this problem in several ways. For example, our model is designed to query data using limited data access and prompt engineering (prompt engineering refers to the generation of content for marketing campaigns and related content within social media posts). process of designing and tailoring prompts to achieve a specific goal, such as identifying information). ) In addition, we filter out answers when the AI is unsure about the outcome, and provide a fast feedback loop with users to detect and mitigate AI-generated erroneous content.
data privacy issues
Another area of concern with AI is data privacy. This is because existing AI solutions are inconsistent in how they approach protecting user data privacy. However, this is an important need that should be taken seriously when choosing a generative AI tool. At Cybersixgill, we take steps to ensure that the privacy and security of our customers and their data is maintained. Generative AI is a promising field with exciting potential. In addition to the Data Processing Addendum (DPA), there are further measures to ensure data security and privacy, such as minimizing data transfers, masking sensitive data, sending metadata only, and utilizing local processing. is being taught. As we enter a new era of AI, we take a cautious, security-first approach to implementing our solutions and do not send customer data to services like ChatGPT.
Redefining CTI through the history of AI
Not all AI solutions are alike, and not all CTI vendors offer solutions rooted in AI. Cybersixgill has always invested in AI and data automation and enrichment. We have been implementing machine learning and deep learning for the past few years, as evidenced by products such as DVE Intelligence. DVE Intelligence leverages real-time, NLP-driven analysis of underground conversations to predict the short-term likelihood of a CVE being exploited.
Combining Cybersixgill’s generative AI with our ASM modules finally reveals the true potential of threat exposure management, providing organizations with actionable insights, simplifying complex topics and helping organizations A coveted solution that enables you to make informed decisions based on a comprehensive understanding of threats. threat landscape.
If you want to learn more, pre-order our latest e-book. From AI to IQ: Transforming cyber defense with generative AI.
A live demo of Cybersixgill IQ is also available here.
