The Future of AI-Driven Security Depends on Complete Data
SecurityWeek, Thursday, August 27th, 2026
AI-powered security needs complete, unfiltered telemetry to detect attacks that span multiple systems.
Modern cybersecurity depends on AI systems having access to complete, high-fidelity data rather than the filtered logs security teams have traditionally kept.
Current architectures capture only 10-20% of actual telemetry, creating blind spots that stop AI from detecting multi-system attack chains.
The argument is that organizations must integrate security telemetry with infrastructure data, identity information, and sensitive business assets, while maintaining data sovereignty through on-premises processing, before AI-driven threat detection can work as advertised.