A new AI system named NARC (Natural Attack Reading and Comprehension) has been launched by the US startup Tidal Cyber, designed to streamline the extraction of adversary behaviors from unstructured cybersecurity data. The innovative tool addresses a significant gap in the cybersecurity field by automating the interpretation of complex data sources.
NARC is capable of processing a variety of inputs, including cyber threat intelligence reports, incident response records, and results from simulated attack exercises. By transforming this unstructured information into structured adversary procedures, the system allows cybersecurity teams to gain deeper insights into the methods and behaviors of attackers.
What sets NARC apart is its focus on mapping not only the tactics and techniques employed by adversaries but also the specific ways in which these attackers operate. This comprehensive analysis enables security teams to transition from a purely reactive stance to a proactive, threat-led defense strategy. By understanding adversary behavior more thoroughly, organizations can enhance their ability to anticipate and mitigate future cyber threats.
The introduction of NARC is seen as a significant advancement in the ongoing battle against cyber adversaries, highlighting the increasing reliance on artificial intelligence to bolster cybersecurity measures. As threats evolve, tools like NARC may prove essential for organizations seeking to fortify their defenses in an increasingly complex digital landscape.
