XM Cyber announced the launch of their generative AI-powered
chat interface empowering customers to harness the full power of XM
Cyber's vast security insights without the need for extensive technical
expertise. The new feature allows customers to gain direct access to the rich data lake within XM
Cyber. With the new GenAI capability, users can simply ask questions in
their own phrasing and get answers from the system. The GenAI capability
enables automatic discovery of different insights regarding the environment,
such as machines where the EDR isn't running. Using the new capability,
organizations can easily investigate these insights.
XM Cyber consolidates extensive data from diverse sources,
including servers, workstations, IaaS cloud providers (Azure, GCP, AWS), PaaS
like Kubernetes, and more. This varied data pool guarantees comprehensive
security insights, surpassing the limitations of narrower solutions. The
introduction of XM Cyber's AI chat interface streamlines the navigation of this
vast volume of insights, allowing users to effortlessly extract valuable
information through a simple language interface. Unlike other solutions, the XM
Cyber AI interface stands out by offering real-time and fresh data, eliminating
the need for exhaustive retraining with every dataset change. This ensures a
high degree of accuracy and up-to-date results, a distinctive feature in the
realm of security solutions. With the ability to access real-time, fresh data
and export AI-generated results, users can rely on a streamlined and efficient
experience.
"We are thrilled to introduce this new AI chat
interface, which marks a significant leap forward in user interaction with our
cybersecurity solutions," said Boaz Gorodissky, CTO & Co-Founder at XM
Cyber. "The robustness and real-time capabilities of this feature empower our
users to derive actionable insights effortlessly, ensuring their security
posture remains at the forefront of the ever-evolving threat landscape."
XM Cyber will continue to expand the AI chat interface by
adding more data sources, potentially encompassing all the information
collected by the company. The roadmap includes executing complex queries on big
data, querying full-length long vectors, and seeking remediation advice
specific to customer data and posture. Additionally, users can anticipate
inquiring about attack techniques information, assessing risks to critical
assets, and conducting choke point analysis, further enhancing the capabilities
of XM Cyber's AI interface.