PLATFORM

Secure AI Agent Platform

SOC 2 Type II certified. Tenant isolation by design. Sensitive field encryption. Secure managed VPC deployment. Enterprise controls for production AI agents.

Why MightyBot

MightyBot secures regulated AI-agent workflows with tenant isolation, sensitive field encryption, scoped agent access, evidence-linked audit trails, customer-data isolation from shared model training, and governed human override. SOC 2 Type II is the baseline; the architecture has to protect data while agents read documents, enforce policies, call APIs, and write outcomes back to enterprise systems.

The platform supports secure managed VPC deployment plus JWT, API key, and OAuth2 authentication, so teams can control access without turning security into an after-the-fact review process.

Security Is Not a Feature. It Is the Architecture.

The industry default

Most AI platforms bolt security on after the fact. Shared layers, broad access, and policy promises instead of structural guarantees.

How MightyBot is built

Multi-tenant isolation, encryption, and scoped access controls are part of the core architecture. They are not optional add-ons.

What enterprises should ask

Does the architecture enforce tenant isolation, encryption, scoped access, and auditability by design, or does it only document what should happen?

MightyBot's answer

In MightyBot, customer data, policies, and execution contexts remain isolated by design. Your data and policies are yours alone.

SOC 2 Type II Certified

Type I confirms controls exist at a point in time. Type II confirms those controls have been operating effectively over an extended audit period. MightyBot holds Type II certification.

The audit covers the entire platform: data storage, processing pipelines, access controls, encryption practices, incident response, change management. Not a subset. The whole stack.

Audit reports available under NDA.

Multi-Tenant Isolation

Each customer's data resides in logically separated storage with independent access controls. Agent execution occurs within isolated compute contexts. No shared data layer between tenants.

One customer's documents, policies, and decision records are architecturally inaccessible to another customer's agents or users. This isolation extends to the search layer - per-workflow repositories scope results to the authenticated tenant's data.

Your data and policies are yours alone. Architecturally guaranteed.

Sensitive Field Encryption

In Transit TLS 1.2+ for all connections.
At Rest AES-256 encryption.
Field Level Designated sensitive fields — SSN, account numbers, tax IDs — encrypted independently within otherwise accessible records. Explicit permissions required for each sensitive field. Encryption granularity matches access control granularity.

Secure Managed VPC Deployment

External Edge
External traffic passes through load balancers and web application firewalls before reaching any internal service. Public internet exposure limited to this layer only.
Private Network Segments
Internal services communicate through private network segments unreachable from the public internet.
Segmented Processing Tiers
Network segmentation between processing tiers. Document ingestion, data extraction, agent execution, and data storage each operate in separate segments. A breach in one does not propagate to others.

Authentication and Access Control

OAuth2

Scoped permissions, encrypted tokens. For connecting MightyBot to your enterprise systems with full auditability.

JWT

Signed tokens with short expiration and scoped claims. Internal service communication authenticated at every hop.

API Keys

Scoped to tenants, rotatable, usage logged. Full audit trail on every API call. Rotation without service interruption.

Role-based access control granular to the workflow, document, and field level.

Data Ownership and Retention

Your data is yours. Customer data is not used for training models, not shared with other customers, and not used outside the contracted service scope.

Retention periods are configurable per data type. When periods expire, data is archived to customer-controlled storage or securely deleted. Your choice.

Data ownership and retention lifecycle diagram

See production-grade security for your workflows.

Request a demo →

FAQ

Frequently Asked Questions

Is MightyBot a secure AI agent platform?

Yes. MightyBot is SOC 2 Type II certified, uses tenant isolation, encrypts data at rest and in transit, supports secure managed VPC deployment, and keeps customer data out of shared model training.

How does multi-tenant isolation work?

Customer data resides in logically separated storage with independent access controls and isolated compute. There is no shared data layer between tenants. Isolation is enforced at the infrastructure level.

Does MightyBot encrypt data at rest and in transit?

Yes. TLS 1.2+ in transit, AES-256 at rest, and field-level encryption for designated sensitive values with granular access controls.

Can we deploy MightyBot in our own cloud environment?

The standard model is a secure managed VPC deployment. If you have specific deployment constraints, MightyBot can review those requirements with your team.

Does MightyBot use customer data to train models?

No. Customer data is processed only for the contracted service scope. It is not used to train shared models and is not shared with other customers.

How are API credentials managed?

Credentials are encrypted at rest, access is restricted to the components that need them, usage is logged, and rotation can occur without service interruption.