Built In, Not Bolted On: What AI-Native Actually Means in Cybersecurity

This article explores what AI-native applications mean in cybersecurity and how to architect them effectively.

• •AI-native means intelligence is built into the core architecture from day one, not added as a separate interface
• •AI-native applications continuously adapt to changing customer data and needs instead of operating statically
• •A unified data layer is critical for enabling ML models and AI agents to have full context across domains
• •Teams should align around shared outcomes rather than tooling debates to accelerate development
• •Proprietary data layers provide defensible competitive advantages that generic SaaS models cannot replicate

This summary was automatically generated by AI based on the original article and may not be fully accurate.