AI-POWERED PHISHING OUTPACES TRADITIONAL BLOCKLISTS

Attackers are leveraging AI to create disposable phishing infrastructure and rapidly evolving toolkits that sidestep traditional security measures. Blocklists—which rely on identifying known-bad domains, signatures, and indicators—cannot keep pace with this speed of innovation. Push Security analysis reveals the fundamental weakness: blocklists are reactive, flagging threats after they're discovered. AI-powered attacks generate new domains and variants faster than security teams can document them. The shift to browser-level, technique-based detection addresses this gap. Rather than tracking individual domains or signatures, this approach identifies malicious behavior patterns—how phishing attempts operate, not where they're hosted. This strategy proves more durable against rapidly evolving threats. Organizations relying solely on domain blocklists face increasing risk. The transition to behavior-focused detection represents a necessary evolution in combating AI-assisted phishing campaigns that outpace traditional infrastructure-based defenses.