Today's Bulletin: May 14, 2026

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CTM360 Introduces AI-Powered Tools to Strengthen Fraud Detection and Threat Intelligence

April 14, 2026
2 min read
Author: Editorial Team

The upgrade comes as organizations worldwide face increasingly complex and high-volume cyber threats that often overwhelm traditional detection and analysis systems.

CTM360  has introduced a new set of advanced AI-powered capabilities designed to strengthen fraud detection and enhance cyber threat intelligence across its digital risk protection ecosystem. The upgrade comes as organizations worldwide face increasingly complex and high-volume cyber threats that often overwhelm traditional detection and analysis systems.

The company noted that conventional threat monitoring tools are no longer sufficient to keep pace with evolving cyberattacks. In response, CTM360 has integrated intelligent automation across key areas including phishing analysis, incident investigation, fraud lifecycle mapping, and external attack surface visibility. These enhancements aim to enable faster detection, deeper contextual analysis, and more efficient response mechanisms at scale.

A major component of the update is AI-driven phishing analysis and enrichment within CTM360’s Digital Risk Protection (DRP) platform, CyberBlindspot. The system uses AI agents to automatically investigate phishing infrastructure by simulating attacker behaviour, crawling malicious pages, and extracting actionable intelligence. This allows the platform to capture a broader view of fraud and scam ecosystems, significantly improving triage speed while reducing manual investigative workload.

In addition, the CyberBlindSpot platform now includes AI-powered incident curation capabilities designed to manage the growing volume of cyber incidents. By automating analysis and enrichment processes, the system enables security teams to handle large-scale threat environments more efficiently while maintaining accuracy and operational speed.

CTM360 has also upgraded its External Attack Surface Management platform, HackerView, with AI-based asset labeling. This feature automatically categorizes discovered digital assets such as authentication endpoints, APIs, and administrative portals, providing richer context for risk assessment and prioritization. The enhanced visibility helps organizations better understand their attack surface and focus remediation efforts on the most critical vulnerabilities.

According to Mirza Asrar Baig, the integration of AI across the platform represents a strategic step toward staying ahead of rapidly evolving cyber threats. He emphasized that CTM360’s goal is to build world-class technology capable of addressing the next generation of cybersecurity challenges by enabling faster, more effective detection and response.

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