AI attacks require AI defense. Zero-trust architectures become mandatory.
Distributed, AI-powered security that verifies every user and device continuously.
Generative AI enables sophisticated phishing and deepfakes at scale.
Zero-trust becoming required by regulators and insurers.
Remote work, IoT, and cloud expand what must be protected.
Zero-trust adoption accelerating; AI detection deploying.
AI-native security becomes standard for enterprise.
Autonomous security operations reduce human dependency.
Continuous verification of users and their behavior.
Protecting distributed workloads across providers.
AI-powered protection on every device.
Enterprises prefer fewer, integrated security vendors.
High-profile attacks accelerate spending.
Native AI detection is becoming table stakes.
Larger contracts indicate platform consolidation.
Major incidents drive security spending increases.
New mandates force compliance spending.
AI enables both more sophisticated attacks and faster defense—security is now an AI arms race.
Historically, security spending is countercyclical—breaches don't pause for recessions.
Enterprises increasingly prefer consolidated platforms, favoring large security vendors.