How we work
Secure. Scalable. Smart
What We Do
Rexdata's cyber defence practice helps CISOs and security teams understand, govern, and protect their AI estate — from model deployment through runtime behaviour to third-party integrations.
Our Solution
AI Security Posture Management (AISPM)
Powered by Noma Security, our AISPM offering delivers continuous visibility and control over your entire AI pipeline:
- Automated discovery of all AI models, datasets, pipelines, and integrations across cloud and on-premises environments.
- Risk-based prioritisation of vulnerabilities aligned to OWASP LLM Top 10, MITRE ATLAS, and NIST AI RMF.
- Runtime threat detection for agentic AI systems — prompt injection, data exfiltration, model inversion, and supply-chain attacks.
- Policy enforcement across the full AI lifecycle with audit trails for NIS2, DORA, and EU AI Act compliance.
Regulatory Compliance & Governance
European regulation is reshaping the security landscape. We translate compliance requirements into operational security programs:
- gap analysis, remediation roadmaps, and board-level reporting for critical infrastructure. NIS2 Directive
- risk classification of AI systems, conformity assessments, and technical documentation. EU AI Act
- ICT resilience testing and incident reporting frameworks for financial institutions. DORA
- design and implementation across network, identity, and application layers. Zero Trust Architecture
Software Engineering Consultancy
Rexdata brings senior software engineering talent to organisations building or modernising AI-enabled systems. Our engineers combine deep technical craft with an understanding of AI governance — ensuring that what gets built is not only performant, but secure, observable, and compliant by design.
AI-Native Application Development
We architect and build production-grade AI applications that are ready for enterprise scale:
- LLM integration and RAG pipeline design — context management, embedding strategies, retrieval optimisation.
- Agentic AI systems — multi-agent orchestration, tool-use frameworks, and guardrail implementation.
- MLOps and LLMOps — model versioning, A/B testing, drift detection, and retraining pipelines.
- Secure API design for AI services — authentication, rate limiting, input validation, and output sanitisation.
Platform & Infrastructure Engineering
Solid foundations for AI workloads require modern platform engineering practices:
- Cloud-native architecture on AWS, Azure, and Google Cloud — Kubernetes, serverless, and hybrid deployments.
- Infrastructure-as-Code with Terraform and Pulumi — reproducible, auditable, policy-enforced environments.
- CI/CD pipeline design with integrated security scanning, SBOM generation, and compliance gates.
- Data platform engineering — streaming pipelines, feature stores, and secure data lake architectures.
DevSecOps & Secure Software Delivery
Security is engineered in from the first commit, not bolted on at deployment:
- Shift-left security — SAST, DAST, dependency scanning, and secret detection in every pipeline.
- Code integrity and AI-assisted code review powered by Qodo — automated quality gates and compliance checks.
- Container and supply-chain security — image signing, SBOM validation, and runtime policy enforcement.
- Security-as-Code — OPA policies, admission controllers, and automated remediation workflows.
Engineering Leadership & Augmentation
Beyond delivery, we help organisations build lasting engineering capability:
- Fractional CTO and engineering leadership for AI product teams navigating rapid growth.
- Staff augmentation with senior engineers experienced in regulated environments.
- Architecture reviews and technology due diligence for M&A and vendor assessments.
- Developer enablement — AI coding tooling adoption, inner loop optimisation, and engineering metrics.
Let’s work together
Our approach is designed to deliver clear and sustainable results. Let’s talk about how we can apply our methodology to your organisation.
