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The Zea suite
ZeaSecure logoZeaSuite

Enterprise AI Innovation — Without Compromising Security

Secure AI. Protect Data. Govern Every Interaction.

Best for: CISOs, Security Teams, AI Teams, Compliance, Risk & Enterprise ITAll

What ZeaSecure is

Enterprise AI Security, Governance & Compliance Platform

1M+*

Metric Suggested Display What It Communicates AI Interactions Protected

Number of prompts/responses inspected and protected

99%+*

Sensitive Data Detection

Ability to identify configured PII and sensitive-data patterns

Real-Time

Policy Enforcement

Security policies applied as AI interactions happen

360°

AI Activity Visibility

Central visibility across protected AI interactions

<1 sec*

Security Response

Low-latency inspection and policy enforcement

100%*

Audit Coverage

Traceability of protected AI interactions

24/7

Data Protection

Continuous AI security monitoring and enforcement

The business challenge

Organizations are rapidly adopting GenAI and LLMs, but sensitive information can unintentionally leave controlled environments through prompts, responses, files, or AI applications. Security teams need visibility into AI usage, consistent policy enforcement, protection of confidential and personal data, and auditable controls without slowing enterprise AI adoption.

The problem

AI adoption is moving faster than enterprise security controls.

  • Employees may unknowingly expose confidential information to AI models.
  • Sensitive or personally identifiable data can appear in prompts and uploaded documents.
  • Organizations lack visibility into how AI is being used across the enterprise.
  • Different AI applications apply inconsistent security controls.
  • Security teams struggle to enforce enterprise AI policies centrally.
  • AI interactions may create new compliance and audit risks.
  • Organizations need guardrails without blocking productive AI adoption.

What the app does

ZeaSecure creates a trusted security layer between your enterprise and AI.

  • Detect sensitive information before it reaches AI models.
  • Mask or redact PII and confidential data automatically.
  • Apply centralized AI security and governance policies.
  • Introduce configurable LLM guardrails for prompts and responses.
  • Monitor AI interactions and identify risky behavior.
  • Control access based on users, roles, applications, and policies.
  • Enable teams to use enterprise AI with greater confidence.