Security & Governance

Security, Governance, and
Control for Enterprise AI

Data stays in your infrastructure. AI stays grounded. Access stays controlled. Audit stays complete. Every layer of your deployment is governed by design.

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Security Principles

Every deployment follows a set of non-negotiable security principles that govern how AI interacts with your data, your users, and your systems.

Data Stays in Your Infrastructure

AI processes your data within your environment. Nothing is transmitted to external systems or used to train models. Grounded answers come from your sources only.

No external data leakage

Least Privilege Access

Users see only what they are permitted to see. Role-based access controls are enforced at every query — the AI respects your existing permission structure.

Role-enforced boundaries

Approved Actions Only

The AI triggers only pre-approved, explicitly defined workflows. It cannot take actions outside the scope you configure during deployment.

No unauthorized automation

Source Grounding

Every answer links back to a verified, internal source. Citations are included in responses so users — and auditors — know exactly where information came from.

Verified citations on every answer

Logging and Audit Trail

All interactions — every query, response, and action taken — are logged and made available for review through the Enterprise Management Portal.

Complete interaction history

Human-in-the-Loop Boundaries

Clear escalation paths define when the AI should defer to a human. Sensitive decisions, flagged content, and edge cases route to the appropriate person.

Defined escalation paths

Governance, Permissions, and Oversight

The Enterprise Management Portal gives your organization full control over who can access AI, what it can do, and how every interaction is documented.

01

Role-Based Control

Define access tiers by team, department, or individual. Users only see knowledge and capabilities explicitly granted to their role. Permissions are managed centrally through the Portal.

02

Deployment Policy Settings

Configure behavioral policies per deployment — what the AI can answer, what it should refuse, and how it should handle ambiguous or sensitive topics. Policies are versioned and auditable.

03

Action Restrictions

The set of actions the AI can trigger is explicitly declared during setup. No new actions are available unless added and approved through the Portal by an authorized administrator.

04

Approval Boundaries

Set workflows that require human approval before execution. High-stakes actions — data writes, external notifications, escalations — can be gated on explicit human sign-off.

05

Traceability and Accountability

Every AI interaction creates a traceable record: who asked, what was asked, what was returned, and what action (if any) followed. Records are retained and exportable for compliance reviews.

Enterprise Management Portal
Access policy configuration
User & role management
Audit log viewer
Workflow approval queues
Integration scope controls
Usage analytics
View Portal Features
Certifications & Compliance
ISO 27001
Information Security Management System — internationally recognized standard for protecting information assets.
SOC 2 Type II
Independently audited controls covering security, availability, and confidentiality. Type II means continuous verification over time.
GDPR Compliant
Data handling practices aligned with EU General Data Protection Regulation requirements — documentation available for enterprise reviews.
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