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ANVIXA.ai
Security & governance

Built for the standards enterprise procurement asks about

Autonomous agents only get deployed where governance is provable. This is how data is handled at runtime, and where we stand on the certifications enterprise and banking RFPs ask for.

At runtime

Where your data actually goes

The short answer: nowhere. Agents run in your browser session, so processing stays inside the perimeter your governance already covers.

Runs locally in your browser

Agents execute in your own browser session. There is no ANVIXA.ai server in the processing path.

Your keys stay yours

Model API keys are stored locally and never shared or transmitted to us.

Policy-aware execution

Role-based access control, workflow approvals and execution policies gate every action an agent can take.

Full audit trail

Every transaction, approval and exception is logged and traceable back to the agent and the operator.

Standards & compliance

Where we stand

ISO 27001:2022, information security management

Baseline standard

The baseline expectation in almost every enterprise and banking RFP. A certified, audited standard rather than a self-declaration, issued by an accredited certification body after a two-stage audit of the information security management system.

GDPR & data protection readiness

Documentation ready

Not a certification but a documentation set kept ready to attach to any proposal: a signed-ready Data Processing Agreement template, a Record of Processing Activities, and reference to our hosting provider's EU Standard Contractual Clauses.

SOC 2 Type II

On the roadmap

Worth pursuing as engagements consistently target larger multinational and SAP-ecosystem clients used to US and global vendor standards. It requires a CPA firm audit observing controls over a six to twelve month window, and is scheduled to follow ISO 27001.

Guardrails

Policy-aware by construction

Role-based access control, workflow approvals, data protection and execution policies prevent unauthorised actions while still letting agents work autonomously.

Guardrails

Enterprise-grade guardrails keep every AI-driven action secure, compliant and policy-aware. Role-based access control, workflow approvals, data protection and execution policies prevent unauthorised actions while allowing autonomous agents to be deployed with confidence.

Agent harness

The orchestration layer for multithreaded agents. It manages concurrent execution, task scheduling, retries, failure recovery and performance monitoring, letting many agents collaborate reliably at enterprise scale.

Token optimisation

Context compression, semantic page understanding, response caching and model routing minimise model usage. Transmitting only relevant information reduces inference cost, improves response time and makes large-scale automation economic.

Send us your security questionnaire

We keep the documentation ready to attach to a proposal. Tell us what your procurement team needs.