In a compelling discussion regarding the role of artificial intelligence in security, Lior Div, the co-founder and CEO of 7AI, emphasized the necessity of deep organizational context for AI to yield accurate results. He articulated that, in the absence of a thorough understanding of an organization’s internal workings, AI functions much like a new analyst lacking the critical “tribal knowledge” essential for comprehensive data interpretation. This type of knowledge is vital in informing AI systems about internal processes, historical data patterns, and crucial investigative priorities. According to Div, neglecting to provide AI with this context could lead to significant missteps in security analysis.

Organizations often embark on implementing AI with only superficial capabilities, relying on simple frameworks that may lack depth. However, to achieve successful outcomes, Div argues that a robust knowledge graph is essential. This graph should seamlessly connect data with workflows and historical insights tailored to specific security operations. By extracting the expertise of seasoned analysts and embedding this knowledge into AI defense tools, organizations can significantly enhance the effectiveness of their cybersecurity measures. He noted, “When AI is coming without knowing a specific organization, it is like somebody who joined the company without having this tribal knowledge. Once AI has the tribal knowledge, you will see improvements in the accuracy of what AI is actually doing for you.”

In an exclusive video interview with the Information Security Media Group at the RSAC Conference 2026, Div elaborated on several crucial topics. He discussed the pivotal role of knowledge graphs in enhancing AI-driven security outcomes, the impact of human expertise in shaping AI accuracy and trust, and provided insight into a structured approach for adopting AI through a phased, use case-driven deployment strategy.

In leading 7AI, a pioneering AI-native cybersecurity firm, Div is at the forefront of developing innovative solutions for detecting and responding to advanced threats. His extensive background as a serial entrepreneur includes co-founding Cybereason, where he honed his expertise in critical areas such as forensics, hacking, reverse engineering, and encryption. His leadership experience was bolstered by his tenure in an elite Israeli cyber intelligence unit, cementing his reputation as a prominent figure in the field of cybersecurity.

As the landscape of cybersecurity evolves, the insights provided by leaders like Div underscore the importance of integrating AI technologies with human knowledge. This combination is vital to create a holistic security environment where AI systems not only assist but also act intelligently informed about the nuances of each organization they serve.

In summary, the conversation between Michael Novinson and Lior Div reveals pivotal considerations for organizations looking to harness AI in their security strategies. The focus is not just on adopting innovative technologies, but also on ensuring these technologies are informed and guided by the wealth of internal knowledge that exists within skilled teams. With the proper integration of human insight and AI capabilities, organizations can pave the way for a more secure future amid increasingly sophisticated security threats.