This white paper analyzes the escalating AI-driven cybersecurity arms race, where attackers use artificial intelligence to automate phishing, credential stuffing, malware evasion, ransomware optimization, and deepfake social engineering. Drawing on data from the DNSFilter network, it shows how AI-based threats now represent a significant share of malicious traffic and outperform traditional malware in scale and speed. The paper explains why legacy, reactive security tools struggle against AI-powered attacks and positions AI-driven DNS security as a proactive control that blocks threats before they reach endpoints. It details how DNS filtering disrupts malicious domains, detects anomalous traffic patterns, prevents DNS tunneling–based data exfiltration, and reduces zero-day exposure through

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