Cyclops Unveils Cybersecurity Search Engine Based on Generative AI
Cyclops today emerged from stealth to launch a search engine platform for cybersecurity teams that makes use of metadata and generative artificial intelligence (AI) to make it simpler to successfully defend organizations from cyberthreats.
Fresh from raising $6.4 million in seed funding, Cyclops CEO Eran Zilberman said the companyās search engine provides cybersecurity teams with a platform infused with a correlation engine capable of addressing a wide range of contextual questions, such as how vulnerable the organization is to a specific vulnerability.
In time, that search interface will become the dominant way cybersecurity teams evaluate cybersecurity posture and investigate breaches, he added.
Cyclops takes advantage of application programming interfaces (APIs) to pull data from applications, IT infrastructure and other cybersecurity tools to create metadata that is then stored in its repository. Via a natural language interface, cybersecurity teams can take advantage of the cybersecurity large language model (LLM) the company developed to invoke a correlation engine based on a mesh architecture to answer queries, said Zilberman.
In addition, Cyclops also surfaces additional guided questions cybersecurity teams should be asking based on their initial query, he added.
That approach eliminates the need to navigate multiple user interfaces provided by the various cybersecurity platforms that cybersecurity teams employ today, said Zilberman. As a result, not only are investigations easier to conduct, but the stress level the organization experiences also declines because everyone can easily determine, for example, the level of severity any given attack vector represents, he added.
Ultimately, Cyclops promises to reduce the overall level of expertise required to maintain cybersecurity by making it simpler for IT operations teams to, for example, determine what specific actions to take to mitigate a vulnerability, said Zilberman.
Itās not clear how much generative AI will transform the way cybersecurity is managed, but itās clear that, in many instances, it will enable organizations to significantly improve the level of cybersecurity that can be attained and maintained. The challenge, of course, is cybercriminals are also embracing generative AI to launch more sophisticated cyberattacks at ever-increasing rates of volume. In effect, organizations of all sizes, like it or not, are involved in a cybersecurity AI arms race.
Hopefully, generative AI will level the playing field to the point where fewer cybersecurity and IT operations staff will be required. There are already hundreds of thousands of unfilled cybersecurity positions that are not likely to ever be filled, so there is a clear need for AI tools to augment existing teams.
Undoubtedly, that also means roles and functions within those teams will need to evolve, but AI tools are not likely to replace the need for cybersecurity professionals any time soon. However, they will enable humans to effectively manage cybersecurity at much higher levels of scale in a way that also serves to reduce burnout rates.
In fact, itās already apparent that, given the long odds of success, without AI tools, most cybersecurity professionals are not going to want to work for organizations that donāt embrace AI that would give them a fighting chance to succeed.