AI-Native Cybersecurity: Defending Against Machine-Speed Attacks

Cybersecurity is facing a critical challenge as attackers automate everything. Defenders are struggling to keep up with machine-speed and machine-scale attacks. The founder and CEO of Abnormal AI, Evan Reiser, explains that the compounding cost of getting ahead or behind on this technology is extreme. Most current security systems were not built for this new era. For 30 years, security was a human versus human battle, but AI gives attackers speed, scale, and sophistication. A single operator can now run thousands of personalized social engineering campaigns. Cybercrime is shifting from software vulnerabilities to trusted identities doing untrustworthy things. This includes social engineering and account compromise. Enterprises will soon manage tens of thousands of agent identities, not just human ones. The attack surface is no longer just the network, but the behavior of every identity, human and machine, within a business. Human-led defense cannot keep pace with this, requiring superhuman perception and speed. This is an architecture problem, not a staffing problem. This shift means businesses need to rethink their security strategies to stay protected.