The AI arms race in cybersecurity

AI is both the shield and the sword in today's cyber battlefield. From AI-driven attacks to quantum threats, cybersecurity is evolving fast. This deep dive explores how businesses can outsmart hackers using AI-powered defenses, Zero Trust, and deception tech

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Cyber threats are evolving at an unprecedented pace, and artificial intelligence (AI) is now both the attacker and the defender. While security teams leverage AI-powered detection, predictive analytics, and automation to safeguard systems, attackers use the same technology to craft sophisticated malware, deepfake phishing, and adaptive threats.

To explore this escalating AI-driven cyber arms race, we spoke with Manickam K, Senior Director Cyber Security at Verizon India. In this deep dive, he discusses AI-powered defense strategies, ransomware resilience, API security, post-quantum cryptography, and his cybersecurity predictions for 2025.

AI-Driven Cyberattacks and Defensive Strategies

Cybercriminals are increasingly using AI to automate attacks, bypass traditional security measures, and adapt to detection mechanisms. This makes AI-powered defense strategies essential for staying ahead of evolving threats.

Fighting AI with AI

Organizations must combat AI-driven attacks with AI-powered defense solutions. Some of the most effective strategies include:

• SOC Automation - AI enhances Security Operations Centers (SOCs) by automating threat detection, risk scoring, and response mechanisms, reducing the burden on security analysts.

• User Behavior Analytics (UBA) - AI models analyze user activities and detect even the slightest deviations that could indicate a compromise.

• Predictive Analysis - Combining behavioral analytics with attack indicators, AI can forecast potential threats before they escalate.

• AI-Powered Threat Hunting - Traditionally a manual process, AI now assists in sifting through vast datasets, identifying anomalies, and automating threat investigations.