Intelligence by design

Secure AI solutions that scale with confidence and clarity

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About

AI Strategy & Implementation

We believe artificial intelligence should augment human capability, not replace human judgment. Every AI system we design prioritizes transparency, security, and measurable business impact. Our approach integrates advanced machine learning with robust cybersecurity frameworks.

SN

Steffen Noack

Owner
Founded DENKWERK in 2018 after leading AI security initiatives at major tech companies in Berlin and San Francisco. Former cybersecurity architect with expertise in secure ML pipelines and responsible AI deployment. Holds advanced degrees in computer science and cryptography.
CJ

Christian Johannsen

President
Brings 15 years of enterprise AI strategy and security consulting to DENKWERK. Former head of AI governance at Fortune 500 companies and government agencies in Copenhagen and Washington DC. Specializes in AI risk assessment, regulatory compliance, and large-scale ML infrastructure.

Our Methodology

Security-first AI development with rigorous testing, validation, and monitoring. We implement zero-trust architectures and differential privacy to ensure your AI systems are both powerful and protected from emerging threats.

Core Principles

Transparency, accountability, and human oversight guide every AI solution. We build systems that business leaders can understand, auditors can verify, and users can trust with their most sensitive data.

Services

AI Strategy & Roadmapping ↓

Comprehensive AI readiness assessments and strategic planning. We evaluate your data infrastructure, identify high-impact use cases, and create secure implementation roadmaps aligned with business objectives.

What We Deliver

  • AI maturity assessment and gap analysis
  • Data architecture evaluation and recommendations
  • Use case prioritization matrix with ROI projections
  • 18-month implementation roadmap with milestones
  • Risk assessment and mitigation strategies
  • Regulatory compliance framework

Typical Engagement

Weeks 1-2: Current state assessment and stakeholder interviews
Weeks 3-4: Technical infrastructure analysis and data audit
Weeks 5-6: Strategy formulation and roadmap development
Week 7: Executive presentation and implementation planning

Investment Range

$75,000 - $150,000 depending on organizational complexity

Secure ML Engineering ↓

Production-ready machine learning systems with enterprise-grade security. From MLOps pipelines to model governance, we ensure your AI infrastructure scales safely and efficiently.

Technical Implementation

  • Secure MLOps pipeline design and deployment
  • Model versioning and experiment tracking systems
  • Automated testing and validation frameworks
  • Real-time monitoring and alerting infrastructure
  • Data privacy and encryption implementation
  • Model governance and audit trail systems

Security Features

  • Zero-trust architecture implementation
  • Differential privacy for sensitive datasets
  • Adversarial attack protection and testing
  • Secure model serving with API rate limiting
  • Encrypted model storage and transmission

Deliverables

Production ML platform, security documentation, team training, 6-month support

AI Risk & Compliance ↓

Regulatory compliance and risk mitigation for AI deployments. We navigate complex frameworks including GDPR, SOC 2, HIPAA, and emerging AI governance standards across industries.

Compliance Frameworks

  • GDPR Article 22 automated decision-making compliance
  • SOC 2 Type II controls for AI systems
  • HIPAA compliance for healthcare AI applications
  • PCI DSS for financial AI implementations
  • FedRAMP authorization for government deployments
  • Emerging AI Act (EU) and state-level regulations

Risk Assessment Areas

  • Bias detection and fairness testing
  • Explainability and transparency requirements
  • Data governance and lineage tracking
  • Third-party AI vendor risk assessment
  • Incident response and breach protocols

Ongoing Support

Quarterly compliance reviews, regulatory update briefings, audit support

Large Language Model Integration ↓

Custom LLM implementations with robust safety controls. Private model fine-tuning, prompt engineering, and secure API integrations that protect sensitive information while maximizing utility.

Implementation Options

  • On-premises LLM deployment with air-gapped security
  • Private cloud fine-tuning on proprietary datasets
  • Hybrid architectures with secure API gateways
  • Multi-model ensembles for specialized tasks
  • Custom tokenization for domain-specific vocabulary

Safety & Security Controls

  • Advanced prompt injection detection and prevention
  • Content filtering and output validation
  • Real-time toxicity and bias monitoring
  • Usage analytics and anomaly detection
  • Rate limiting and access control systems

Typical Timeline

Month 1: Requirements gathering and model selection
Month 2-3: Data preparation and fine-tuning
Month 4: Security testing and deployment
Month 5: Integration and user training

AI Security Auditing ↓

Comprehensive security assessments for existing AI systems. Model vulnerability testing, adversarial attack simulation, and security hardening recommendations from our certified experts.

Audit Scope

  • Model architecture security review
  • Training data poisoning vulnerability assessment
  • Adversarial attack simulation and testing
  • API security and authentication review
  • Data pipeline security analysis
  • Model stealing and extraction protection

Testing Methodologies

  • FGSM and PGD adversarial attack testing
  • Model inversion and membership inference attacks
  • Prompt injection and jailbreaking attempts
  • Data exfiltration and privacy leakage tests
  • Performance degradation under attack scenarios

Deliverables

Detailed security report, remediation roadmap, executive summary, 30-day follow-up assessment

Executive AI Education ↓

Leadership workshops and training programs on AI strategy, risk management, and regulatory implications. We translate complex technical concepts into actionable business insights for decision-makers.

Workshop Modules

  • AI Strategy Fundamentals for Executives
  • Understanding AI Risk and Liability
  • Regulatory Landscape and Compliance
  • AI Ethics and Responsible Development
  • Vendor Evaluation and Due Diligence
  • Building AI-Ready Organizations

Format Options

  • Half-day executive briefings
  • 2-day intensive workshops
  • Monthly advisory sessions
  • Custom board presentation packages
  • Virtual or in-person delivery

Audience

C-Suite: Strategic AI vision and risk oversight
Board Members: Governance and fiduciary responsibilities
Department Heads: AI implementation planning
Legal Teams: Compliance and contract considerations

Selected Work

Minimal Bank

Complete digital banking platform redesign focused on clarity and trust. Reduced complex financial interactions to their most essential elements while maintaining regulatory compliance.

UX Design Interface Design Design System

Museum Identity

Visual identity for contemporary art museum emphasizing the work over the institution. Clean typography and flexible system that adapts to diverse artistic content.

Brand Identity Print Design Wayfinding

Tech Startup

Brand and product design for B2B software platform. Simplified complex workflow management into intuitive interface that teams actually want to use daily.

Product Design Brand Strategy Web Design

Architecture Firm

Complete rebrand for established architecture practice. Created system that showcases their work without competing with it, emphasizing process and precision.

Brand Identity Website Portfolio Design

Contact

Secure AI Consultation

We're selective about the AI initiatives we support, ensuring each deployment meets the highest standards of security and ethics. Share your AI challenge and we'll assess if DENKWERK is the right partner for your mission-critical implementation.

Email: hello@denkwerk.com

Phone: +1 (512) 555-3847

Studio: 1501 E 6th Street, Austin, TX 78702