The EU AI Act is the world’s first comprehensive AI regulation. And it’s already reshaping how engineering and compliance teams build and deploy high-risk systems. For many companies, the real challenge isn’t the model itself. Instead, it’s the infrastructure required to meet the Act’s strict expectations around: 

  • Logging
  • Auditability
  • Monitoring
  • Access control
  • Security

Yet, many companies are nowhere near ready. We recently pulled a Deloitte survey cited in EQS Group’s EU AI Act mini guide. It notes that nearly half of companies feel unprepared for the EU AI Act. This is true even though the regulation is already in force. 

That readiness gap is driven less by model performance and more by the heavy lift of building compliant infrastructure. You need secure logging, tamper-proof audit trails, continuous monitoring, and tightly scoped access controls across environments.

Fortunately, this is exactly the layer DuploCloud automates.

DuploCloud automates the infrastructure foundation required by the EU AI Act for high-risk AI systems. You can deploy a compliant infrastructure in 1 week instead of 6 months. And you don’t need to go ripping and replacing your existing ML pipeline. 

Your data scientists and ML engineers keep using the tools they already know. DuploCloud handles the security, monitoring, and audit infrastructure that your auditors expect to see.

Key Takeaways

  1. For most engineering teams, EU AI Act compliance is primarily an infrastructure problem. It’s not a model problem. Secure logging, access controls, monitoring, and auditability drive most of the engineering lift.
  2. DuploCloud automates 70-80% of the required technical controls. This collapses multi-month engineering timelines into days. It also dramatically reduces audit preparation effort.
  3. You maintain full ownership of model-level responsibilities. DuploCloud provides auditor-ready evidence for infrastructure, security, logging, monitoring, and access controls.

Why the EU AI Act Raises the Bar for Modern AI Governance

The EU’s Artificial Intelligence Act represents a major shift in how organizations must approach AI governance. This moves beyond voluntary principles into enforceable regulatory requirements. Under this framework, companies deploying high-risk or general-purpose AI systems must demonstrate technical sophistication. They also have to show a deep commitment to trustworthy AI, responsible AI, and the protection of fundamental rights. 

This is why many enterprises are establishing an internal AI Office. It’s a centralized function responsible for consolidating: 

  • AI literacy
  • Compliance expertise
  • Cross-team coordination

The European Commission has made it clear that the rapid adoption of generative AI and advanced AI technology requires stronger safeguards. This is especially true when AI models influence hiring, credit, healthcare, law enforcement activities, or other sensitive domains. 

Meeting these expectations requires robust controls for monitoring, access, security, and technical documentation. It also means strict alignment to existing frameworks like the General Data Protection Regulation (GDPR).

For many teams, the most challenging part isn’t the model itself. 

It’s building the infrastructure required for continuous auditability and demonstrable AI compliance. As organizations scale their AI footprint, the EU’s Artificial Intelligence Act serves as a regulatory anchor. It also serves as a roadmap for operational maturity across all stages of the AI lifecycle.

The Challenge: What the EU AI Act Actually Requires

For high-risk AI systems (like resume screening, credit scoring, or healthcare diagnostics), you must implement:

  • Article 12. Infrastructure for secure log collection, tamper-proof storage of system changes
  • Article 14. Access controls and audit trails for approval workflows
  • Article 15. Security controls and continuous monitoring
  • Article 16. Infrastructure supporting documented processes

For many teams, building these manually can take 4-6 months and $400K-800K in engineering costs. Plus, you’ll have to pay for ongoing maintenance.

How DuploCloud Automates Infrastructure Requirements

1. Secure Logging Infrastructure (Article 12)

What the Act requires: Secure, tamper-proof infrastructure for storing AI decision logs.

What DuploCloud provides:

  • Deploys Wazuh SIEM agents on every host to collect your application logs
  • Configures CloudWatch/Stackdriver to capture all container logs
  • Routes everything to centralized Elasticsearch with retention policies
  • Creates tamper-proof audit trails for infrastructure changes using AWS CloudTrail
  • Implements File Integrity Monitoring to detect system and model tampering

What this means for you: Your application logs its decisions. 

DuploCloud ensures they’re collected, stored securely, and tamper-proof.

2. Access Control Infrastructure (Article 14)

What the Act requires: Secure access controls and audit trails for human oversight.

What DuploCloud provides:

  • Enforces approval workflows for model deployments through its tenant model
  • Implements Just-In-Time access controls tied to your identity provider
  • Creates audit trails for all access and changes with user identity and timestamp
  • Creates segregated environments (dev/stage/prod) with role-based access

Note: Your application implements the actual review/override logic. DuploCloud provides a secure, auditable infrastructure.

3. Security & Robustness (Article 15)

What the Act requires: Encryption, vulnerability scanning, intrusion detection, access controls.

What DuploCloud deploys automatically:

  • Network isolation: Separate VPCs for dev/stage/prod with private subnets
  • Encryption: AWS KMS keys per tenant, TLS for all traffic
  • Vulnerability scanning: AWS Inspector and Wazuh CVE detection
  • Intrusion detection: Suricata for network, OSSEC for hosts
  • Malware scanning: ClamAV on all hosts
  • Access control: IAM roles per tenant, no shared credentials

The key difference: These aren’t just enabled. They’re configured, integrated, and monitored as a system.

4. Alert Management & Cost Optimization

DuploCloud includes tunable monitoring to balance compliance with operational efficiency:

  • Configurable alert thresholds. Set severity levels per environment (e.g., alert on severity 8+ in production)
  • False positive reduction. Create suppression rules for expected behaviors like model reloading
  • Tiered log storage. Keep compliance-critical logs for 7 years, and rotate operational logs after 30 days
  • Cost controls. Sample high-volume logs, use S3 lifecycle policies for cold storage

Your team controls what generates alerts and how long logs are retained. This helps you optimize both security and costs.

5. Infrastructure Security Controls

DuploCloud automatically implements:

Network segmentation:

  • Creates isolated “tenants” (logical boundaries around your AI workloads)
  • Each tenant gets unique security groups, IAM roles, and network rules
  • No manual firewall configuration needed

Continuous compliance checking:

  • CIS benchmark scans every 12 hours
  • Drift detection every 30 seconds (automatically fixes unauthorized changes)
  • Real-time alerts for security events above the severity threshold

Secret management:

  • No hardcoded credentials: everything through AWS Secrets Manager
  • Automatic key rotation
  • Encryption keys are isolated per application

Real Example: AI Resume Screening System

Here’s what DuploCloud provides infrastructure for a resume screening AI (high-risk under Annex III):

  1. Model deployment: Wraps your containerized model with infrastructure for logging agents, security scanners, and monitoring
  2. Inference logging: Provides secure, tamper-proof storage for your application’s decision logs
  3. Access control: SSO authentication and audit trails for your review interface
  4. Security: Runs in an isolated VPC, encrypts data at rest (KMS) and in transit (TLS), scans for vulnerabilities
  5. Monitoring: Detects unusual access patterns, potential attacks at the infrastructure level

This happens in one week instead of six months.

What You Still Own

Be clear about the division of responsibilities:

Your Application Must Implement:

  • Actual inference logging code (we provide secure storage)
  • Human review interfaces (we provide access control)
  • Override mechanisms (we provide audit trails)
  • Determining if your AI is “high-risk“
  • Model fairness testing and bias mitigation
  • Writing the conformity assessment narrative
  • Model documentation and intended use cases

DuploCloud Provides:

  • Compliant infrastructure for collecting and storing logs
  • Security controls and monitoring
  • Access management and audit trails
  • Evidence collection for technical controls

Compliance Attestation Reality:

  • You still own the EU AI Act conformity assessment
  • DuploCloud’s SOC 2 controls become part of your technical evidence
  • Your auditor reviews: Your AI system, plus DuploCloud’s controls, plus AWS compliance
  • No vendor can provide “EU AI Act certified” infrastructure (regulations too new)

The Technical Architecture

When you deploy through DuploCloud, here’s what you’ll get:

Your AI Model → DuploCloud Platform → Compliant Infrastructure
                                      ├── Security (VPC, IAM, KMS)
                                      ├── Log Collection & Storage (SIEM, CloudTrail)
                                      ├── Monitoring (Prometheus, Wazuh)
                                      └── Access Control (Approval workflows)

Everything integrates with your existing tools (GitHub, Docker registries, model stores).

Migration Path

Week 1: Deploy DuploCloud in read-only mode alongside existing systems. 

Week 2-3: Migrate non-production workloads, validate compliance controls. 

Week 4: Production cutover with rollback plan.

DuploCloud Is Here to Help

DuploCloud provides SOC 2 Type II certified infrastructure automation that supports EU AI Act technical requirements:

  • Independently audited: Our security controls are verified by third-party auditors
  • Your compliance ownership: You own the conformity assessment. We provide the technical foundation
  • No added risk: Runs entirely in your AWS account and never touches AI data
  • Transparent operations: All configurations exportable as Terraform
  • Cost-optimized: Configurable logging and alerts to reduce noise and storage costs

Your team builds AI and owns compliance certification. 

DuploCloud provides auditor-verified infrastructure controls.

Meeting the EU AI Act’s technical requirements is no small task. 

High-risk AI systems demand: 

  • Airtight logging
  • Access controls
  • Monitoring
  • Vulnerability detection
  • Tamper-proof auditability

These are all integrated and operating continuously. Building this foundation manually is slow, expensive, and extremely error-prone.

DuploCloud removes that burden entirely.

You focus on the AI.

We provide the compliant infrastructure that auditors trust.

If you’re ready to deploy a fully compliant, audit-ready foundation in one week instead of six months, DuploCloud is built for you.

See how DuploCloud automates EU AI Act compliance controls. 

Request a demo today.

FAQs

Does DuploCloud make my AI system automatically “EU AI Act certified”?

Nope. The EU AI Act requires a full conformity assessment across your entire system. DuploCloud provides the audited technical controls you need at the infrastructure level. But model governance and risk management remain your responsibility.

How does DuploCloud reduce the engineering workload for compliance?

DuploCloud automates logging, monitoring, access controls, security scanning, network segmentation, secrets management, and evidence generation. This replaces months of manual DevOps and platform engineering work with out-of-the-box, compliant infrastructure.

Will DuploCloud access or store my AI data?

No way. All workloads run entirely inside your own AWS account. DuploCloud never touches model data, training data, or inference logs.

What if my AI system is not considered “high-risk”?

You still benefit from reduced security risk, faster provisioning, and streamlined audit readiness for SOC 2, GDPR, ISO 27001, HIPAA, and other frameworks. The EU AI Act simply raises the stakes and formalizes controls you may already need.

Note: DuploCloud automates infrastructure-level compliance controls required by the EU AI Act. Application-level requirements like inference logging, decision review interfaces, and fairness testing remain your responsibility. DuploCloud provides the secure, compliant infrastructure to support these application features.