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ComplyNexus AURA
(AI Unified Risk Auditor)
An AI Auditing Platform for LLM Governance & Compliance
AURA (AI Unified Risk Auditor) is an AI auditing and governance platform that helps auditors, enterprises, and regulators verify whether their models are safe, fair, resilient, and compliant, regardless of whether they run in the cloud or on secure local hardware. Built with adversarial testing (PyRIT) and governance validation (AI Verify), AURA automatically stress-tests your systems against thousands of policy-aligned scenarios. It produces clear, tamper-proof reports ready for any regulator.
Why Enterprises Choose AURA
AI is no longer a black box; it’s an auditable system
Traditional compliance tools can’t keep pace with the complexity of modern machine learning. AURA was engineered for enterprises that need provable confidence in their AI, not assumptions.
- Local assurance with no cloud dependency
- Real-time monitoring of AI behavior and compliance drift
- Regulatory alignment with ISO 42001, EU AI Act, NIST RMF, and GDPR
- Hardware acceleration through a plug-and-play nano computer, Thor, and H100 platforms
The Platform
Audit. Govern. Assure. Anywhere.
AURA is a unified assurance environment combining AI auditing, data governance, and compliance automation, optimized for edge devices and enterprise clusters.
| Core Layer | Description |
|---|---|
| Assurance Engine | Automated evaluation of models, datasets, and governance processes for fairness, accuracy, and reliability. |
| Governance Core | Maps your operations against global frameworks (ISO, EU AI Act, NIST) and enforces policy controls. |
| Privacy & Security Layer | Conducts privacy impact assessments (DPIA), detects data leakage risks, and ensures data sovereignty. |
| Control Dashboard | Visualizes risks, compliance gaps, and audit insights in real time. |
| Integration Layer | Connects seamlessly with existing ML Ops, data platforms, and GRC systems. |
Why AI Compliance Auditing Matters
As AI becomes central to your operations, proving its safety and accountability is essential. Auditing confirms regulatory readiness, reliable behavior, and the trust needed to scale responsibly
Key reasons it matters
1
It confirms your AI is safe, fair, and explainable before it reaches users.
2
It reduces regulatory exposure by aligning with global standards early.
3
It catches bias, data gaps, and model failures before they cause damage.
4
It strengthens trust with customers, partners, and decision-makers who expect clarity.
5
It creates a repeatable, evidence-driven process for scaling AI responsibly.
The Models
Two Deployment Models, One Unified Engine
| Feature | AURA Cloud | AURA Edge Device |
|---|---|---|
| Target User | Organizations, internal audit teams, compliance officers | Independent auditors, air-gapped environments, regulated sectors |
| Deployment | Hosted SaaS (multi-tenant, GPU-accelerated) | On-prem Edge Device (NVIDIA Jetson AGX Orin) |
| Connectivity | Internet-connected, scalable workloads | Offline or secure intranet |
| Compute | Autoscaling GPU nodes for massive test suites | Local GPU acceleration via Orin |
| Data Privacy | Encrypted, region-specific cloud storage | No data leaves the facility; encrypted evidence storage |
| Audit Focus | Continuous assurance, CI/CD integration | One-off or periodic offline audits |
| Reporting | Multi-tenant dashboards and PDF/JSON reports | Local dashboard with offline evidence export |
| Best for | Enterprises auditing multiple models across teams | Auditors who require secure, portable, self-contained verification |
Workflow
Step 1
Set policies and auto-generate tests
Pick rules: AURA creates thousands of smart, adversarial, and compliance-focused test prompts.
Red-team attacks and governance checks run together for full model evaluation.
Run audits with
both testing layers
Step 2
Step 3
Analyze results
instantly
AURA scores every response for risk, accuracy, and policy alignment.
All results are stored immutably and compiled into regulator-ready reports.
Produce verified
audit evidence
Step 4
Step 1
Set policies and
auto-generate tests
Pick rules: AURA creates thousands of smart, adversarial, and compliance-focused test prompts.
Step 2
Run audits with
both testing layers
Red-team attacks and governance checks run together for full model evaluation.
Step 3
Analyze results instantly
AURA scores every response for risk, accuracy, and policy alignment.
Step 4
Produce verified
audit evidence
All results are stored immutably and compiled into regulator-ready reports.
Key Benefits
- Adversarial Testing (PyRIT) : Multi-turn, automated red-teaming for LLMs and generative AI systems.
- Governance Testing (AI Verify) : Built-in frameworks aligned to ISO 42001, NIST AI RMF, and EU AI Act.
- Policy-Driven Audit Engine : Auditors create, reuse, and share audit policies in YAML or GUI form.
- Immutable Evidence Ledger : Each audit run produces verifiable evidence with cryptographic hashes.
- Comprehensive Reports : Executive summaries, risk heatmaps, evidence bundles, and mitigation guidance.
- Plug-and-Play Integration : CI/CD hooks for AI teams and secure USB/offline export for edge users.
Advanced Technology Powering Your Governance
Connected Apps
Automated
Audit Workflows
Multi-Framework
Compliance Support
Customer Success Stories
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FAQs
Frequently Asked Questions
1. What is AURA?
AURA is an AI assurance platform that helps organizations audit, govern, and continuously monitor their AI systems for fairness, transparency, and compliance. It runs directly on a nano-computer, Thor, and H100/A100 hardware, enabling secure, local AI assurance without cloud dependency.
2. How is AURA different from traditional compliance tools?
Unlike conventional audit software, AURA performs on-device AI model analysis using GPU acceleration. It not only documents compliance but also tests AI models in real time, identifying bias, drift, and governance risks continuously, not just during audits.
3. Which regulations and frameworks does it support?
AURA aligns with major global standards for responsible AI and data governance, including:
- ISO 42001: AI Management Systems
- EU AI Act
- NIST AI Risk Management Framework (RMF)
- GDPR
- ISO 27001 & 27701 (Information Security & Privacy)
You can also add custom frameworks or regional compliance requirements through the platform’s governance mapping interface.
4. What hardware does AURA run on?
AURA is optimized for NVIDIA edge and data-center devices, including:
- Jetson Orin (64GB) — Ideal for on-site audits and pilot deployments
- NVIDIA Thor (128GB) — Enterprise performance tier
- NVIDIA H100 / A100 GPUs — For global-scale assurance and high-capacity AI systems
This ensures fast, private, and scalable auditing, with zero cloud latency.
5. Does AURA require internet connectivity?
No. AURA can operate fully offline. All audits, risk analysis, and compliance checks can run within air-gapped environments, making it suitable for defense, government, and critical infrastructure.
6. Can AURA integrate with our existing systems?
Yes. The platform includes open APIs and SDKs for seamless integration with:
- ML Ops pipelines (Kubeflow, MLflow, Vertex AI)
- GRC systems (ServiceNow, OneTrust, SAP)
- Data management and monitoring tools
- Enterprise data lakes or security dashboards
7. What types of AI models can it audit?
AURA supports a broad range of AI architectures, from LLMs and vision models to tabular ML systems. It can assess models for:
- Bias and fairness
- Explainability and interpretability
- Data lineage and privacy leakage
- Security and robustness under attack
It’s suitable for sectors like finance, healthcare, manufacturing, government, and research.
8. How does AURA ensure data privacy?
All audits occur within your infrastructure, and all data, including models, reports, and logs, are stored encrypted and locally. There’s no cloud data transfer, ensuring compliance with GDPR, ISO 27001, and sector-specific privacy mandates.
9. What are the deployment options?
You can deploy AURA:
- On-Premise: Full control and offline operation.
- Hybrid: Combine local assurance with central policy management.
- Enterprise Cluster: Scale across regions and AI systems using NVIDIA data-center GPUs.
10. Is this only for large enterprises?
Not at all. While AURA was designed for regulated enterprises, it’s modular, meaning smaller teams or startups can deploy a Jetson-powered Edge Node for audits without needing enterprise infrastructure.