As organizations integrate a growing mix of public and private AI models, traditional security controls often fail to provide visibility into prompts and agentic actions. Research from McKinsey indicates that security concerns remain the primary barrier to scaling AI, with nearly two-thirds of organizations citing risk as their main hesitation. GhostAI functions as an intermediary layer, sitting between enterprise data and AI systems to enforce real-time redaction and tokenization of sensitive information before it reaches a model.

The platform supports four key pillars of enterprise risk: models, context, tools, and data. By utilizing a zero-copy architecture, the system connects to live data without requiring replication or staging. This allows security teams to apply consistent policies across diverse workflows, including secure coding and autonomous agent interactions, while maintaining audit trails for compliance with frameworks like GDPR, HIPAA, and the EU AI Act. Denzil Wessels, founder and CEO of Dymium, stated that the goal is to transform governance from a development blocker into an operational accelerator.

Energy Security Inc. is among the early adopters, utilizing the gateway to enable shared memory across AI conversations without risking system information. The platform is currently available through an Early Access Program targeting highly regulated sectors such as financial services and healthcare, providing a centralized control plane that adapts as new AI tools and models emerge.