日本語 
HCLTech and CrowdStrike are expanding their strategic partnership with a new Continuous Threat Exposure Management service, or CTEM. The focus is pretty clear. Enterprises are struggling to keep up with the number of vulnerabilities, alerts, cloud assets, and attack surfaces spread across modern environments. Traditional security reviews done every few months are not enough anymore.
The new service is designed around continuous monitoring instead of periodic checks. It combines AI driven threat detection, exposure management, and attacker intelligence into one system. According to both companies, the platform gives organizations ongoing visibility across endpoints, cloud environments, applications, identities, and enterprise data.
One of the biggest problems security teams deal with right now is noise. Companies already collect massive amounts of security information, but knowing which vulnerabilities are actually dangerous is a different issue. The joint platform tries to solve that by connecting threat intelligence, cloud posture data, attack activity, and exposure signals together in real time. The goal is to help teams understand which risks are most likely to be exploited instead of treating every alert equally.
Also Read: ACSiON and Forbes JAPAN Release Cyber Risk White Paper
The service runs on the AI native CrowdStrike Falcon platform and uses Falcon Exposure Management technology. That includes ExPRT.AI and agent based analysis that looks at attacker behavior and real attack paths to prioritize vulnerabilities more intelligently.
HCLTech is adding its own layer through the VERITY framework and AI Force platform. Those systems focus more on remediation and operational response. So instead of stopping at detection, the companies are trying to automate parts of the response and risk reduction process too.
Daniel Bernard from CrowdStrike said the partnership is aimed at giving enterprises stronger visibility and faster coordination around cyber risk. Amit Jain from HCLTech also pointed out that enterprises now need continuous and contextual monitoring because modern threats are becoming too large and too dynamic for manual security operations alone.
The broader picture here is that cybersecurity is shifting toward AI assisted and increasingly autonomous operations. Enterprise environments have become too complex for reactive security models to keep scaling effectively.
English