Securing Artificial Intelligence Systems

As artificial intelligence systems become integral to enterprise operations, they simultaneously create expansive new attack surfaces that traditional security solutions cannot adequately protect. The AI lifecycle, which includes gathering data, training models, using them for predictions, and running automated agents, has weaknesses at each stage:

• Data poisoning attacks can compromise model integrity before deployment

• Exposed inference endpoints become high-value targets for exploitation

• Interconnected AI agents risk cross-contamination that can cascade through entire systems.

Xiid’s Terniion architecture, anchored by our SealedTunnel technology, provides a comprehensive security framework specifically designed to address these critical AI security challenges. By eliminating attack surfaces rather than merely defending against them, Xiid enables organizations to secure their AI infrastructure with military-grade protection while maintaining the operational efficiency required for modern AI workloads.