CTM360 Introduces AI-Powered Tools to Strengthen Fraud Detection and Threat Intelligence - TechAfrica News
Published: April 14, 2026 at 03:30 PM
News Article
cyber-crime
crime
crime
-law-and-justice
artificial-intelligence
information-technology-and-computer-science

Content
CTM360 has introduced a new suite of AI-powered capabilities designed to strengthen fraud detection and enhance cyber threat intelligence across its digital risk protection ecosystem. This strategic upgrade addresses the growing complexity of global cyber threats that often overwhelm traditional detection and analysis systems.
A major component of the update involves AI-driven phishing analysis and enrichment within the CyberBlindspot platform. The system utilizes AI agents to automatically investigate phishing infrastructure by simulating attacker behavior, crawling malicious pages, and extracting actionable intelligence. Additionally, the platform now includes AI-powered incident curation capabilities to manage the increasing volume of cyber incidents, allowing security teams to maintain accuracy and operational speed during large-scale threat environments.
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. According to Mirza Asrar Baig, the integration of AI represents a strategic step toward staying ahead of rapidly evolving cyber threats. He emphasized that the company'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.
Key Insights
CTM360 is shifting its security architecture toward AI-driven automation to handle the scale and complexity of modern cyber threats.
This move significantly reduces manual investigative workloads while improving triage speed through automated phishing analysis and asset labeling.
While the technology promises greater efficiency, the long-term effectiveness will depend on how well these AI agents adapt to novel attack vectors.
Organizations adopting these tools may see immediate gains in operational speed, though continuous validation of AI outputs remains necessary.