SAN FRANCISCO —

Operant Networks, the company pioneering data-centric AI security solutions, today announced it will debut its Data Privacy  capability tomorrow at The AI Conference in San Francisco. The new feature enables enterprises to automatically detect and redact sensitive information in AI workflows, a critical step to ensure compliance, reduce data leakage risk, and build trust in enterprise AI deployments.

Earlier this year, Operant Networks introduced its AI Trust Platform for MCP (Model Context Protocol), delivering secure connectivity and observability between AI agents, data, and users. With today’s launch, Operant extends that foundation by adding automated data redaction, enabling enterprises to test and deploy MCP-based AI systems with privacy built in from day one.

“85% of AI projects never make it past pilot, not because the models fail, but because enterprises can’t address risks around privacy, security, and ROI,” said Keith Rose, CEO of Operant Networks. “Proof-of-concepts often answer the what - what impact AI can have. But they miss answering the how - how an AI agent will actually run inside an enterprise, especially with regard to security, compliance, and integration with existing systems. By adding automated redaction, we are helping enterprises answer that how with confidence.”

Operant’s AI Trust Fabric leverages Named Data Networking (NDN) as a secure control plane, delivering:

• Secure Deployments - ensure every AI interaction is authenticated and protected.
• Compliance from Day One - redact and govern sensitive data across AI workflows.
• Visibility & Observability - monitor, audit, and control AI behavior in real time.

The company’s technology is already deployed across ~2% of U.S. power generation and has been recognized by the U.S. Department of Energy as “game changing” for securing critical infrastructure. With the launch of privacy redaction, Operant extends this proven foundation to address one of the most pressing challenges in AI adoption.

“Enterprises want to experiment with AI, but they can’t afford the risk of sensitive data leaking into public models, the internet, or shadow AI tools,” said Randy King, CTO of Operant Networks. “Redaction ensures privacy and compliance are embedded at the core of every AI workflow for enterprise-ready use cases.”

Operant will showcase the new redaction capability in live demos at The AI Conference in San Francisco this week. Attendees can also request access to Operant’s Secure AI Sandbox, where they can test AI deployments under real-world conditions with privacy and compliance safeguards in place.

About

Operant Networks is pioneering the data-centric AI Trust Fabric that enables enterprises to define and enforce trust across AI systems, agents, and data. Built on Named Data Networking (NDN) and proven in mission-critical infrastructure, Operant helps organizations secure deployments, protect privacy, and scale AI responsibly.

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