AI Is Supercharging Cybercrime — Here’s Why Threat Detection Needs to Evolve | #cybercrime | #infosec

A new report published by Express Computer highlights a dramatic shift in the Indian cybersecurity landscape: AI is now powering a surge of faster, stealthier cyberattacks. Based on a survey by Fortinet and IDC of over 400 CISOs and CIOs across India, the findings reveal a pressing concern: organizations are facing a new generation of cyber threats that traditional tools were never designed to stop.

A Triple Surge in AI-Powered Attacks

According to the survey:

72% of Indian organizations experienced AI-enabled cyberattacks in the last year.
70% reported a twofold increase in attack frequency.
12% saw attacks triple in volume.
Just 14% of CISOs felt “very confident” in their ability to handle these threats.
Alarmingly, 21% said they had no capability to detect or respond to AI-enhanced attacks.

These numbers paint a clear picture: the threat landscape is accelerating, and the window to detect and respond to threats is shrinking. AI is enabling attackers to automate reconnaissance, develop polymorphic malware, and launch highly targeted phishing and deepfake campaigns—blending into network activity and exploiting security gaps faster than human teams can react.

The Arms Race Between Offense and Defense

One of the most important insights from the report is the growing asymmetry between attackers and defenders. Cybercriminals are using AI to identify weaknesses at scale, mimic user behavior, bypass signature-based defenses, and evolve attack techniques in real time. With tools like generative AI, threat actors can create fake identities, produce convincing phishing emails, and even simulate trusted communications.

Meanwhile, many organizations still rely on siloed tools and manual processes. Even with SIEMs and endpoint detection, the ability to correlate threats across systems—and respond with speed—is often limited. This lag creates opportunities for attackers to move laterally, exfiltrate data, or encrypt systems before detection ever occurs.

Why Traditional Security Falls Short

The survey underscores a widespread capability gap. Even well-resourced organizations are struggling to keep up with the volume, velocity, and variability of AI-driven threats. Static rules and signature-based detection methods are no longer sufficient. What’s needed is an approach that can match AI with AI—an intelligent, adaptive security system that continuously learns and hunts threats across the entire attack surface.

This is the new standard for effective threat detection and response. It’s not enough to generate alerts; organizations need systems that automatically correlate signals, prioritize true threats, and initiate response actions—before human analysts can even log in.

Seceon’s Take: You Need AI to Fight AI

As a next-generation ransomware detection and threat detection company, Seceon is built for exactly this challenge. Our unified aiXDR and aiSIEM platforms use AI and machine learning to deliver proactive threat detection and response, designed to outpace adversaries who are already using automation and AI to their advantage.

With Seceon, organizations gain:

Automated threat hunting across endpoints, networks, cloud, and identity systems
Real-time behavioral analytics to detect even unknown or novel threats
Unified visibility across multi-tenant and hybrid environments
Machine-speed response to contain threats before damage spreads

In an era where attackers operate at the speed of algorithms, defenders must do the same. Seceon helps close the gap—not just by alerting teams to threats, but by actively reducing dwell time, automating response, and enabling organizations to stay resilient in the face of rapidly evolving attacks.