As organizations accelerate AI adoption, the gap between data utility and risk continues to widen, exposing the limits of traditional security models. Protegrity is addressing this gap with the launch of AI Team Edition, a new paradigm for zero model exposure that embeds protection directly into AI systems and workflows.
Protegrity AI Team Edition addresses the gap between data utility and risk within AI by embedding protection directly into companies’ new AI architecture. Zero model exposure enables faster time-to-value at a fraction of the cost of AI projects. The technology that makes that possible is Protegrity’s semantic-preserving encryption, which protects the meaning and relationships that power AI systems across knowledge graphs and AI workflows.
“Knowledge is what forms when facts and transactions meet context,” said Michael Howard, CEO, Protegrity. “It is when repetitive failure informs judgment, when intent guides interpretation. It is inferential and lives between systems. Protegrity AI Team Edition is effectively a new type of data and knowledge firewall, a product that has the capabilities required to enable the leading organizations of the world to achieve actual AI success.”
Core capabilities include:
- Data to Knowledge: Protection extends beyond traditional categories to include operational, behavioral, and contextual data used in AI systems
- Prompt to Policy: Policies can be created from natural language inputs and applied automatically, reducing manual effort and accelerating deployment
- Upstream to Downstream Enforcement: Controls operate directly in data pipelines, analytics engines, and inference workflows, adapting to context and role
- Server to Datacenter: Inference securely everywhere via its Kubernetes-based architecture with CI/CD integration enables rapid rollout, updates, and scale
- Developer to Department to Enterprise with Attestation: All interactions are validated, logged, and auditable across systems
- Priced to Scale: Priced to bring enterprise-grade AI security to organizations of all sizes, starting at a fraction of typical AI infrastructure costs
“Securing AI has become the responsibility of the entire organization, not just security or IT professionals,” said Grace Trinidad, Research Director, Future of Trust, IDC. “Protegrity is providing the tools that enable AI security in a way that makes sense no matter where you are or who you are in the organization.”
By embedding protection directly into AI architectures and enabling secure inferencing across workflows, Protegrity AI Team Edition helps organizations address the gap between data utility and risk. With semantic preserving encryption at its core, the solution supports enterprise AI initiatives while safeguarding the data and knowledge that power them.
