How to Build Defense for AI Cyber Attack Waves with Ariful Huq, Co-Founder at Exaforce - Modern CTO Recap

Podcast: Modern CTO

Published: 2026-02-05

Duration: 51 min

Summary

In this episode, Ariful Huq discusses how Exaforce is leveraging AI to bolster cybersecurity defenses against increasing AI-driven cyber attacks. He emphasizes the need for organizations to adapt quickly, whether they're startups or established enterprises, to safeguard their data and operations.

What Happened

Ariful Huq, co-founder of Exaforce, explains that their mission is to help organizations, particularly high-growth startups and mid-sized enterprises, build robust Security Operations Centers (SOCs) efficiently. He highlights the challenges faced by these companies, especially as they scale and begin to deal with significant security pressures from customers regarding monitoring and incident response. Huq notes that for startups, building an effective SOC can take months, but with the right AI tools, they can establish essential security operations in days instead.

As Huq delves deeper, he points out the struggles of mid-sized enterprises, which often already have SOC teams in place but face overwhelming volumes of alerts. The traditional approach of hiring more SOC analysts is becoming unsustainable, as the increase in cyber threats continues to outpace hiring capabilities. Instead, Huq advocates for a non-linear approach where AI can enhance the capabilities of existing teams, effectively increasing their efficiency and response capability without necessarily expanding the team size.

Key Insights

Key Questions Answered

What is a security operations center (SOC)?

A security operations center (SOC) is a centralized unit that deals with security issues on an organizational level. It involves monitoring alerts from various security tools and technologies. Traditionally, SOCs rely on human analysts to process alerts, determine root causes, and take actions based on the information received. This process can be time-consuming and requires a significant human effort to manage the vast amount of data generated by security tools.

How can AI help in cybersecurity?

AI can significantly enhance cybersecurity by automating routine tasks, thereby allowing security teams to focus on more complex issues. For organizations with small security teams, AI can help scale their operations by managing alerts and providing insights that would otherwise require multiple analysts. This augmentation transforms a small team into a more effective unit capable of handling a larger volume of security incidents.

What challenges do startups face regarding cybersecurity?

Startups, especially those experiencing high growth, often face pressure from customers to meet security standards such as 24/7 monitoring and having a solid incident response plan. Many startups may lack the resources to build a full SOC from scratch in a timely manner and have to consider how to integrate effective security measures quickly to maintain customer trust and comply with enterprise requirements.

Why is it essential to respond to AI-driven cyber threats?

The increasing productivity of bad actors using AI tools to launch cyber attacks necessitates a quick and efficient response from organizations. As the number of attacks rises, companies must find ways to protect their assets effectively without simply increasing their personnel costs. Adopting AI-driven solutions allows organizations to stay ahead of threats and manage their security operations more effectively.

What is the non-linear approach to security operations?

The non-linear approach to security operations refers to leveraging technology, particularly AI, to enhance the capabilities of existing security teams without proportionally increasing staffing levels. This approach allows organizations to scale their security response capabilities rapidly and effectively, enabling them to handle a much larger volume of alerts and threats without the need for a corresponding increase in human resources.