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Security

Built-in security for AiVA

Out of the box, AiVA includes secure session handling, scoped access, request validation, origin checks, rate limiting, verified webhooks, and managed infrastructure controls.

  • Authenticated dashboard access and secure session handling
  • Request validation, origin checks, rate limiting, and verified webhooks
  • Scoped internal service auth, managed secrets, and monitored infrastructure

Built-in protections

Security controls included with AiVA

Customers do not need to assemble these controls before launch.

Access controls

AiVA includes authenticated dashboard access, secure session handling, scoped permissions, and a clean separation between public assistant activity and administrative access.

Request protection

AiVA validates requests, checks trusted origins, rate limits sensitive routes, and verifies important inbound webhooks before processing them.

Secrets and infrastructure

Secrets are managed outside application code. Production services run on monitored managed infrastructure with clear service boundaries and startup checks that help catch unsafe configuration early.

Service safeguards

Internal services use scoped authentication, configuration validation, and monitored health checks to reduce drift, misconfiguration, and insecure defaults over time.

Default posture

Security is part of how AiVA runs day to day.

01

Secure by default

AiVA includes secure sessions, authenticated admin access, and protected internal service communication.

02

Protected request paths

Validation, origin checks, rate limiting, and verified webhooks are standard protections on important request paths, not optional add-ons.

03

Operational discipline

We use managed secrets, production monitoring, health checks, and ongoing review to operate AiVA.

Security and compliance

Custom AI for security- and compliance-sensitive environments.

We can design Custom AI systems with private or local deployment and controls intended to support CMMC, SOC 2, or HIPAA requirements. This additional work is priced separately.

Security- and compliance-sensitive systems may require private or local AI, tighter data boundaries, narrower access, detailed logging, additional documentation, and formal validation beyond a standard deployment.

Certification, attestation, or legal compliance depends on the customer’s complete environment, policies, operations, and applicable third-party review.

  • Architecture and data boundaries designed around the sensitivity of the work
  • Access controls, logging, documentation, and validation matched to the requirements
  • Compliance-focused delivery priced separately from the core Custom AI build

Local AI deployment

For more sensitive custom AI projects, models and supporting services can be scoped to tighter hosting environments instead of relying on the standard hosted AiVA setup.

Tighter data boundaries

Local AI can reduce unnecessary external data movement and keep more of the workflow inside the environment the project is designed around.

Security and compliance design

We can scope architecture, access controls, logging, documentation, and validation around CMMC, SOC 2, or HIPAA requirements when the environment calls for it.

USA TODAY
USA TODAY recognition

Recognized by USA TODAY as one of the Leading AI Companies to Watch in 2025.

AI Integrations is on a mission to make the powerful AI technologies being used by the world's largest companies available to everyone.” · USA Today

Read the USA TODAY feature

Clients using AiVA today

  • Silverback Consulting
  • Generally Up Photography
  • Colorado Climbing Company
  • American Driving Academy
  • RC Tree Service
  • Fujiyama Sushi
  • Bighorn Steel Buildings
  • Woodshark
  • Awesome Accounting
  • Boxcar Theatre
  • Fox in a Box Miami
  • Hertel Vans
  • Mastertrade
  • Pueblo Web Design
  • Techware
  • 719
  • Hinsdale
  • Cornerstone
  • Nightmare
  • Star

FAQ

What security protections are built into AiVA by default?

AiVA includes authenticated dashboard access, secure session handling, scoped internal authentication, request validation, origin checks, rate limiting, verified webhooks, and managed infrastructure controls as part of the standard platform.

How do you protect access to the platform?
How do you protect internal platform communication?
How do you protect public request paths?
Can AI Integrations support more privacy-sensitive use cases?
Can we discuss security questions before buying?

Next step

Ask the security questions before you launch.

If you want to understand how AiVA handles access, sessions, request protection, or infrastructure, ask early and get clear answers.