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CTM360 Launches AI Tools to Enhance Fraud Detection and Threat Intelligence Efficiency

CTM360 unveils AI-driven tools for fraud detection and threat intelligence, enhancing CyberBlindspot’s phishing analysis and incident curation efficiency for modern cybersecurity challenges.

CTM360 has unveiled a suite of advanced AI-powered capabilities aimed at bolstering fraud detection and enhancing cyber threat intelligence within its digital risk protection ecosystem. This upgrade addresses the escalating complexity and volume of cyber threats that are increasingly overwhelming traditional detection and analysis systems, a concern that organizations across the globe are facing.

The company highlighted that conventional threat monitoring tools have become inadequate in keeping up with the evolving landscape of cyberattacks. In response, CTM360 has implemented intelligent automation in critical areas such as phishing analysis, incident investigation, fraud lifecycle mapping, and external attack surface visibility. These enhancements are designed to facilitate faster detection, deeper contextual analysis, and more efficient response mechanisms at scale.

A significant aspect of this update is the AI-driven phishing analysis and enrichment feature within CTM360’s Digital Risk Protection platform, CyberBlindspot. The platform employs AI agents to autonomously investigate phishing infrastructure by simulating attacker behavior, crawling malicious pages, and extracting actionable intelligence. This method allows the system to capture a more comprehensive view of fraud and scam ecosystems, considerably improving triage speed while simultaneously reducing the manual workload for investigators.

In conjunction with this, CyberBlindSpot now includes AI-powered incident curation capabilities that aim to manage the increasing volume of cyber incidents more effectively. By automating both analysis and enrichment processes, the system enables security teams to navigate large-scale threat environments with greater efficiency while ensuring accuracy and operational speed.

CTM360 has also enhanced its External Attack Surface Management platform, HackerView, by integrating AI-based asset labeling. This feature automates the categorization of discovered digital assets, including authentication endpoints, APIs, and administrative portals, thereby offering richer context for risk assessment and prioritization. The improved visibility assists organizations in better comprehending their attack surfaces and focusing remediation efforts on the most critical vulnerabilities.

Mirza Asrar Baig, a representative from CTM360, stated that the integration of AI across the platform is a strategic move to stay ahead of rapidly evolving cyber threats. He emphasized that the company’s objective is to develop world-class technology capable of addressing the next generation of cybersecurity challenges, which includes enabling faster and more effective detection and response.

This upgrade comes at a time when the cybersecurity landscape is increasingly fraught with challenges, requiring organizations to adopt more sophisticated solutions. By leveraging AI and automation, CTM360 aims to provide its clients with enhanced capabilities that not only match but exceed the demands posed by contemporary cyber threats. The transformation in threat detection and response underscores a pivotal shift in how organizations can protect themselves against an ever-evolving array of cyber risks.

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Rachel Torres
Written By

At AIPressa, my work focuses on exploring the paradox of AI in cybersecurity: it's both our best defense and our greatest threat. I've closely followed how AI systems detect vulnerabilities in milliseconds while attackers simultaneously use them to create increasingly sophisticated malware. My approach: explaining technical complexities in an accessible way without losing the urgency of the topic. When I'm not researching the latest AI-driven threats, I'm probably testing security tools or reading about the next attack vector keeping CISOs awake at night.

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