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Avigrah is built with a security-first architecture, designed to support AI systems operating on sensitive and business-critical data. The platform focuses on data isolation, controlled access, and full system transparency.

Security Architecture

Avigrah follows an AI-first security model where:
  • Data access is strictly controlled
  • Execution is fully traceable
  • AI decisions remain observable
  • System behavior can be governed at runtime

Core Security Controls

RBAC & Governance

Role-based access control ensures that every action is permission-bound and scoped to the appropriate level.

Data Isolation

All data is logically isolated at the organization and project level, ensuring strict separation across tenants.

Auditability

Every execution, pipeline run, and system action is logged for complete traceability.

Explainable AI

AI outputs are backed by structured context and traceable reasoning paths.

Human-in-the-Loop

Critical workflows can be reviewed, overridden, or controlled manually when required.

Real-Time Monitoring

System health, execution status, and operational signals are continuously tracked.

Data Protection & Policies

Avigrah maintains standard data protection practices through:
  • Data Processing Agreements (DPA)
  • Privacy policies and data handling guidelines
  • Controlled access to integrations and external systems
These ensure that data usage remains transparent and governed.

Access & Control

  • Access is enforced through roles and teams
  • Project-level scoping ensures controlled visibility
  • Integrations and data sources operate within defined boundaries
All system interactions are permission-based.

Compliance Positioning

Avigrah focuses on practical, system-level security rather than surface-level compliance claims.
  • No unsupported certifications are claimed
  • Security is enforced through architecture and controls
  • Governance is built into execution, not layered on top

Positioning

Security in Avigrah is not an add-on. It is embedded into:
  • Data pipelines
  • AI execution
  • Context systems
  • Integration layers
This ensures that AI systems remain:
  • Controlled
  • Transparent
  • Reliable

Pages to Explore

Privacy Policy

Defines how user data is collected, used, and protected within the platform.

Terms of Service

Outlines the rules, responsibilities, and conditions for using the platform.

Cookie Policy

Explains how cookies are used to enhance functionality and user experience.

Data Processing Agreement (DPA)

Governs how data is processed, handled, and protected between parties & within the system.