STAMFORD, Conn., Nov. 17, 2025 — Protegrity, a global leader in data-centric security, is further expanding its reach in AI with the launch of Protegrity AI Team Edition. This new product gives AI developers a fully instrumented Python package to secure the AI pipeline along with a fully instrumented data security toolbox to protect enterprise data systems – seamlessly integrated, so they can secure and scale projects from the start of model development to the deployment of agentic workflows.
This offering empowers project teams from mid-sized to enterprise organizations with rapid access to secure, compliant data for AI initiatives – start for free and scale at only a fraction of the cost of AI and agentic workflow deployments.
“Corporate America is in its own AI circularity – wanting to use AI yet can’t use it – all due to the complexity of the tool chain and the need to protect critical business information – the life blood of business. Sometimes I see organizations deploy Agents so diminished they just can’t do the job, and fall in the failure bucket,” said Michael Howard, CEO, Protegrity. “Protegrity AI Team Edition provides a foundational off-ramp to this circularity, putting security where it belongs, as a plug-in package for any tool chain, with all the necessary technology to protect vital information, that can’t leak. Diminished agents out, AI success in.”
Using the same enterprise-grade technology that safeguards over 10 trillion operations annually at a leading financial institution, Protegrity AI Team Edition helps organizations make AI-ready data available quickly and safely. It enables teams to use sensitive information as easily as non-sensitive data – without compromising compliance. Protegrity AI Team Edition provides the full spectrum of Protegrity’s proven capabilities including data discovery, protection, privacy, and semantic guardrails.
Capabilities
Governance
- Agentic policy creation and maintenance
- Insights and audit reporting
Discovery
- Find structured and unstructured sensitive data
- ML, contextual classifiers, and deep-learning pattern matching
Protection
- Redact or mask sensitive data for least-privilege consumption
- De-identify sensitive data with referential integrity
Privacy
- Anonymization models (k-anonymity, l-diversity, t-closeness) for privacy-enforced analytics
- Tabular synthetic data generation for training or sharing
GenAI Use Case
- Advanced semantic fence to evaluate AI interactions
- Contextual AI guardrails for model training and runtime
Deployment
- Cloud-native architecture
- Container-based microservices
Looking Ahead
- Agentic UX for ease of adoption
Additional Details
Protegrity AI Team Edition can be installed and ready to use in minutes and can protect data locally on AWS or remotely on other clouds. Its data security mesh applies fit-for-purpose protection – anonymization, tokenization, masking, and encryption – directly within AI and analytics workflows, eliminating the need for ETL rewrites or custom infrastructure. Discovery and classification modules can scan both structured and unstructured sources to identify PII, PCI, PHI, and IP before data reaches training or inference stages.
“Most teams struggle to use sensitive data safely once AI projects move from prototype to production,” Chris Steffen, Vice President of Research at EMA said. “AI Team Edition puts protection inside the workflow itself, so security isn’t an afterthought or a slowdown – it’s just part of how the data moves.”
Protegrity AI Team Edition follows the release of Protegrity AI Developer Edition, a free complementary toolkit that helps developers, data scientists, and security practitioners rapidly prototype AI applications without risking data leaks. The solution embeds Protegrity’s trusted data protection and GenAI guardrails directly into workflows, giving innovators governed access to secured sensitive data within minutes instead of weeks while maintaining compliance and audit readiness by default.
“Most AI projects fail not because of a lack of ideas but because teams cannot access the data they need safely,” said Sameer Tiwari, Chief Technology Officer, Protegrity. “Protegrity AI Team Edition changes that. It empowers teams to use sensitive data responsibly with embedded, context-aware controls that move with the data itself. This is what is necessary to build AI pipelines that are both powerful and compliant.”
Designed for swift implementation, Protegrity AI Team Edition enables organizations to move from concept to production without overhauling current systems.
“Traditional data security can have friction. We are removing that friction,” Tiwari added. “Protegrity AI Team Edition gives teams a safe, fast way to use their data for AI, analytics, and innovation without the roadblocks.”
Protegrity AI Team Edition is now available as a tech preview either through your representative or by submitting the request form on the website. For more information, visit Protegrity.com.
About Protegrity
At Protegrity, we deliver data-centric security that protects the data itself, enabling enterprises to unlock insights, accelerate innovation, and meet global compliance with confidence. From emerging AI to quantum threats, our flexible and forward-looking approach ensures data protection evolves as technology advances. With developer-friendly tools such as SDKs, APIs, and containerized services, we make it easy for teams to embed strong data protection into applications and workflows, securing innovation at scale.
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