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SecuPi Launches AI Access Fabric for Runtime Security


SecuPi Launches AI Access Fabric for Runtime Security
  • by: PRWeb
  • |
  • June 25, 2026

SecuPi has announced the launch of its Enterprise AI Access Fabric, a unified security platform designed to govern AI runtime access, AI agent behavior, and enterprise data protection. As organizations rapidly deploy AI agents, copilots, and autonomous workflows, SecuPi aims to address rising concerns around identity security, data exposure, and compliance.

The platform is built to enforce fine-grained access control, continuous monitoring, and tamper-proof auditing directly at the point where AI systems interact with enterprise data.

Quick Intel

  • SecuPi launches Enterprise AI Access Fabric for AI runtime security
  • Platform secures AI agents, copilots, and autonomous workflows
  • Combines identity brokering with ABAC/PBAC access controls
  • Enables real-time monitoring and tamper-proof auditing
  • Protects structured and unstructured enterprise data across systems
  • Targets Snowflake, Databricks, BigQuery, and cloud + on-prem environments

SecuPi Targets AI Security at the Runtime Layer

SecuPi’s new platform is designed to secure AI systems at the moment they access data, rather than relying only on perimeter or post-event controls.

The Enterprise AI Access Fabric introduces a unified layer for:

  • AI runtime security
  • AI agent governance
  • Identity and data access enforcement

This approach reflects a shift toward “Zero Trust for AI,” where every request is dynamically evaluated based on identity, context, and policy.

Unified Identity and Data Governance for AI Systems

At the core of the platform is AI Identity Brokering combined with fine-grained authorization models such as PBAC and ABAC.

The system includes:

  • Data discovery and classification
  • De-identification and masking
  • Object-, row-, column-, and cell-level access control
  • Continuous policy enforcement

This enables organizations to replace broad service-account access with tightly scoped, context-aware permissions.

Runtime Monitoring and Tamper-Proof Auditing

SecuPi also introduces real-time observability into AI activity across enterprise environments.

Key capabilities include:

  • Continuous monitoring of AI agents and users
  • End-to-end audit trails of data access
  • SIEM integration for enterprise security workflows
  • Detection of risky or unauthorized AI actions

These features are designed to improve accountability as AI agents become more autonomous in production systems.

Securing AI Across Enterprise Data Ecosystems

The platform is designed to operate across a wide range of enterprise environments, including:

  • Snowflake
  • Databricks
  • Google BigQuery
  • Cloud data lakes and lakehouses
  • SaaS applications and on-prem systems

By centralizing governance, SecuPi aims to reduce identity sprawl and limit excessive permissions across distributed systems.

Executive Perspective on AI Security

SecuPi CEO Alon Rosenthal emphasized that AI governance requires enforcement, not just policy definition.

“Organizations today need more than AI governance policies—they need unified runtime enforcement that combine identity and data controls.”

He added that the platform ensures AI systems only access data aligned with business purpose, compliance requirements, and security policies.

Reducing AI Deployment Complexity

Beyond security, SecuPi positions its platform as a way to simplify AI integration.

The Enterprise AI Access Fabric includes:

  • API gateways and MCP server integration
  • Pre-built connectors and plug-in support
  • Built-in tokenization, encryption, and masking
  • Automated policy enforcement and auditing

This is designed to reduce the need for custom security engineering when deploying AI systems in enterprise environments.

Conclusion

SecuPi’s Enterprise AI Access Fabric reflects a growing industry focus on securing AI at runtime rather than relying solely on traditional identity or perimeter-based controls. As enterprises scale AI agents across workflows and data systems, the need for real-time governance, least-privilege access, and continuous monitoring becomes increasingly critical.

With its unified approach to identity, data security, and AI governance, SecuPi is positioning itself as a foundational layer for safe enterprise AI adoption.

 

About SecuPi

SecuPi is the Enterprise AI Access Fabric deployed at major Swiss banks, two of the world's largest financial services organizations, and leading global telecommunications providers. The platform secures AI agents, AI-generated applications, and privileged users by enforcing identity and data security controls directly where data is accessed. SecuPi combines AI Identity Brokering, AI Access Governance, fine-grained access control (PBAC/ABAC), data discovery and classification, de-identification, AI Runtime Security, real-time monitoring, and tamper-proof auditing to enable secure, compliant, and least-privilege access to enterprise data.

  • AI SecurityAI GovernanceEnterprise AIZero TrustData Security
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