Cyclops, a cybersecurity company, has unveiled an AI-driven search engine platform designed to bolster organizations’ defenses against cyberthreats. With $6.4 million in seed funding already secured, Cyclops CEO Eran Zilberman explains that their search engine employs metadata and generative artificial intelligence (AI) to simplify the task of safeguarding organizations from cyberattacks.
At the core of Cyclops’ platform is a correlation engine infused with generative AI capabilities. This correlation engine enables cybersecurity teams to address a wide range of contextual queries, such as determining an organization’s vulnerability to a specific cyber threat. Zilberman envisions the search interface becoming the primary method for cybersecurity teams to evaluate their posture and investigate breaches in the future.
To generate the necessary metadata, Cyclops leverages application programming interfaces (APIs) to extract data from various sources, including applications, IT infrastructure, and other cybersecurity tools. The collected metadata is then stored in Cyclops’ repository. By employing a natural language interface, cybersecurity teams can utilize Cyclops’ large language model (LLM) to pose queries and invoke the correlation engine’s capabilities, which are based on a mesh architecture. Zilberman added that the platform also offers additional guided questions to further assist cybersecurity teams in their investigations.
One of the platform’s fundamental advantages is eliminating the need for cybersecurity teams to navigate multiple user interfaces across different cybersecurity platforms that they currently use. This streamlined approach not only facilitates easier investigations but also reduces the stress experienced by organizations. It allows everyone, from IT operations teams to top decision-makers, to easily determine the severity and potential impact of an attack vector.
Cyclops aims to simplify cybersecurity maintenance by reducing the overall level of expertise required. For instance, IT operations teams will be able to identify specific actions to mitigate vulnerabilities more easily using the platform. While the transformative potential of generative AI in cybersecurity management remains uncertain, it is evident that organizations can significantly enhance their cyber defenses with such technologies. However, this progress is accompanied by a rising challenge, as cybercriminals also embrace generative AI to launch more sophisticated attacks.
Zilberman believes that the adoption of AI tools, like Cyclops’ platform, can help level the playing field by augmenting existing cybersecurity teams. With hundreds of thousands of unfilled cybersecurity positions, organizations require AI tools to bridge the gap. Although roles and functions within cybersecurity teams may evolve, AI is not expected to replace the need for human professionals anytime soon. Instead, it will empower them to effectively manage cybersecurity at a much larger scale while minimizing burnout rates.
A significant observation is that cybersecurity professionals are increasingly reluctant to work for organizations that do not embrace AI tools, which offer a fighting chance against evolving cyber threats. The demand for talent far exceeds the supply, making it crucial for organizations to adopt AI-driven solutions and attract cybersecurity professionals.
In summary, Cyclops’ launch of an AI-driven search engine platform marks a game-changer in defending against cyberthreats. By leveraging generative AI and metadata, the platform simplifies cybersecurity investigations, enhances organizational resilience, and reduces the level of expertise required. As the cybersecurity landscape continues to evolve, the advent of generative AI represents a vital weapon in the ongoing cybersecurity AI arms race.
