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Depzilla Trust Center

Last Updated: March 10, 2026

At Depzilla Corp, trust is foundational to how we design, deploy, and operate Artificial Intelligence systems. Our AI platform SuperCrew is designed to help organizations automate operations, scale intelligence, and deploy AI as a production-grade digital infrastructure.

Because Artificial Intelligence interacts with business data, operational workflows, and decision-making systems, trust must be embedded into every layer of the platform. The Depzilla Trust Center provides transparency into how our AI technologies are governed, secured, and operated responsibly across all Depzilla products.

Our approach to responsible AI is guided by the Depzilla 7-Plane AI Trust Model — a proprietary governance and assurance architecture designed to make Artificial Intelligence safe, controllable, and enterprise-ready by design.

Depzilla 7-Plane AI Trust Model

Governance Built In. Trust Proven. AI at Scale.

The Depzilla Seven-Plane AI Trust Model is a proprietary governance and assurance architecture that makes Artificial Intelligence safe, controllable, and enterprise-ready by design. It structures AI across seven interdependent planes — from infrastructure and models to execution, identity, orchestration, and observability — ensuring that:

  • Control precedes action
  • Identity precedes authority
  • Trust is continuously verifiable

The model enables organizations to deploy AI as production-grade digital infrastructure, delivering regulator-ready governance, reduced operational and security risk, and scalable trust across AI systems. This framework governs all Depzilla SuperCrew products and future AI offerings.

The Seven Planes of AI Trust

The Depzilla framework organizes AI governance into seven interdependent planes, ensuring that intelligence can scale while remaining governed and observable.

01

Infrastructure Plane

What it runs on

The Foundation

Provides the physical and virtual computing substrate on which all Artificial Intelligence systems operate.

02

Model Plane

What kind of intelligence

Intelligence Model & Design

Governs the behavior, lifecycle, and risk posture of Artificial Intelligence models.

03

Data Plane

What it knows & remembers

Context & Memory

Controls what information intelligence can see, retain, infer, and act upon.

04

Execution Plane

What it decides & executes

Workflows, Decisions & Actions

Governs how Artificial Intelligence systems perform and act on business needs.

05

Identity Plane

Who is doing it

Human & Agent Identity

Establishes verifiable identity for every human and artificial actor.

06

Control Plane

What is allowed & appropriate

Orchestration & Compliance

Coordinates intelligence, enforces policy, and manages system-wide behavior.

07

Observability Plane

What is working

Assurance

Provides evidence that the system behaves as claimed.

Operationalizing the 7-Plane AI Trust Model

Depzilla operationalizes the framework through multiple governance and monitoring systems. These include:

  • The Depzilla AI Trust Scoring Engine
  • The 7-Plane AI Trust Maturity Model
  • The Depzilla ATLAS Matrix

Together, these systems enable organizations to measure, monitor, and continuously improve AI trust.

Depzilla AI Trust Scoring Engine

The Depzilla AI Trust Scoring Engine evaluates how well AI systems comply with the governance principles defined in the 7-Plane AI Trust Model. It assesses how AI systems are implemented across all seven planes and determines the maturity of AI trust controls. This enables organizations to understand:

  • The strength of AI governance
  • The operational maturity of AI systems
  • Areas where trust and control mechanisms must improve

7-Plane AI Trust Model — Maturity Levels

The Depzilla framework includes a 10-level maturity model that measures the journey from early AI experimentation to fully governed and autonomous-ready AI systems.

01

Tier 1 — Non-Existent

AI exists, but governance does not.

02

Level 2 — Ad-Hoc

We fix things when something breaks.

03

Level 3 — Aware

We know this matters, but it is not enforced.

04

Level 4 — Defined

The rules exist, but they are not guaranteed.

05

Level 5 — Implemented

Controls work, but they do not scale yet.

06

Level 6 — Managed

We know when controls fail.

07

Level 7 — Automated

Controls operate without constant human effort.

08

Level 8 — Integrated

The system behaves as one.

09

Level 9 — Optimized

We adapt before problems materialize.

10

Level 10 — Assured

Trust is proven, not claimed.

Depzilla ATLAS Matrix

The Depzilla ATLAS Matrix provides a knowledge base of adversarial tactics, techniques, and case studies that target Artificial Intelligence and Machine Learning systems. ATLAS helps organizations understand and defend against:

  • Adversarial AI attacks
  • Model manipulation
  • Data poisoning
  • Malicious AI system behaviors

The ATLAS Matrix strengthens the security posture of AI deployments by identifying emerging threats and guiding mitigation strategies.

Responsible AI

Depzilla is committed to deploying Artificial Intelligence responsibly. Our Responsible AI practices emphasize:

  • Transparency of AI capabilities and limitations
  • Safeguards against misuse of AI systems
  • Operational governance of AI technologies
  • Human oversight of automated intelligence

Artificial Intelligence is designed to augment human decision-making while maintaining accountability.

Security and Infrastructure

Security is a critical component of the Depzilla platform. Our infrastructure and operational practices are designed to protect both the platform and customer data. Security measures may include:

  • Secure infrastructure environments
  • Monitoring of operational systems
  • Restricted access to sensitive systems
  • Continuous improvement of platform security practices

Privacy and Data Protection

Depzilla respects the privacy of users and organizations that use our platform. Our privacy practices emphasize:

  • Responsible data handling
  • Protection of sensitive information
  • Transparency in data processing
  • Compliance with applicable data protection regulations

Users can learn more in our Privacy Policy.

Transparency and Accountability

Depzilla believes that trustworthy AI requires transparency. We provide users with clear documentation about:

  • How AI systems operate
  • How governance controls are applied
  • How trust and security mechanisms function within the platform

The Depzilla Trust Center exists to provide this transparency.

Contact

For questions related to security, governance, or compliance practices, please contact:

Depzilla Corp

Email: compliance@depzilla.com