Blog
by Mayura Kathir
Cybersecurity researchers have identified a growing trend where threat actors are increasingly exploiting Dynamic DNS providers to host malicious infrastructure, posing significant risks to enterprise organizations worldwide. Dynamic DNS providers, also known as publicly rentable subdomain providers, have become attractive targets for malicious actors due to their accessibility and limited
Cyber Threat Monitoring: AI-Powered Defences for Modern Enterprises
September 30, 2025
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by Manish Gupta
Why Cyber Threat Monitoring is a Business Survival Skill For decades, businesses relied on perimeter-based security: firewalls, passwords, and periodic security audits. But today’s cloud-native, hybrid, and remote-first workplaces have dissolved those perimeters. Sensitive data now flows across SaaS apps, mobile devices, and global partner networks, making blind spots inevitable
Ransomware Threats Targeting OT Systems: Protecting Critical Infrastructure in 2025
September 29, 2025
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by Ben Gebremeskel
Ransomware has evolved far beyond its original targets of personal computers and enterprise IT systems. Today, Operational Technology (OT) environments — the systems controlling industrial processes, critical infrastructure, and manufacturing plants — are firmly in attackers’ crosshairs. This shift threatens not just data and financial losses, but also public safety and national
Phishing is getting smarter. Is your training?
September 26, 2025
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by Joe Oleksak
As phishing attacks evolve, it’s critical for your staff to be prepared for new cyberthreats. Learn how to reduce risk by prioritizing training focused on awareness, role clarity, and response readiness across every department. Imagine you receive an email from what appears to be your HR department. It’s a routine
Why Cybersecurity is More Important Today for Data Science Than Ever
September 17, 2025
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by Vinod Chugani
AI systems powering critical decisions have become prime targets for sophisticated cyberattacks exploiting machine learning vulnerabilities. Data science has evolved from academic curiosity to business necessity. Machine learning models now approve loans, diagnose diseases, and guide autonomous vehicles. But with this widespread adoption comes a sobering reality: these systems have