AI
Design, deploy, and secure AI systems that deliver real business value — from LLM integration to sovereign agentic pipelines
What We Offer
- LLM integration and prompt engineering for production use cases
- RAG pipeline design — vector databases, embedding services, and retrieval layers
- Agentic AI system design with tool-calling and multi-agent orchestration
- Sovereign and self-hosted AI deployment on private cloud or on-premise infrastructure
- LLM security hardening — prompt injection, jailbreak, and data leakage prevention
- AI model evaluation, benchmarking, and fine-tuning advisory
- AI-driven anomaly detection and behavioural analysis for security workflows
- EU AI Act and Cyber Resilience Act readiness assessments
- AI observability — tracing, logging, and cost monitoring for LLM workloads
Key Benefits
- Accelerate delivery of AI features without compromising on security or compliance
- Sovereign deployment keeps sensitive data and models fully under your control
- Agentic automation handles tier-1 tasks with zero human toil
- RAG-powered knowledge bases surface the right information at decision time
- LLM hardening eliminates novel attack vectors before they reach production
- Regulatory readiness for EU AI Act and Cyber Resilience Act requirements
- Full observability across AI workloads with cost and quality tracking
DevSecOps
Integrate security seamlessly into your development pipeline
What We Offer
- LLM integration and prompt engineering for security workflows
- RAG-powered threat intelligence and knowledge base systems
- AI-driven anomaly detection and behavioral analysis
- LLM security hardening (prompt injection, jailbreak, data leakage prevention)
- AI model deployment on sovereign / self-hosted infrastructure
- Agentic security automation with tool-calling pipelines
- Security pipeline integration and automation (CI/CD shift-left)
- Automated vulnerability scanning, triage, and remediation
- Container and Kubernetes security hardening (CIS benchmarks, kube-bench, Twistlock)
- Infrastructure as Code security reviews and policy gating (OPA, Checkov)
- DevSecOps toolchain optimization and consolidation
- Compliance automation and continuous auditing (SOC2, PCI DSS, HIPAA, NIS2, DORA)
- Security policy development, enforcement, and drift detection
- EU AI Act and Cyber Resilience Act readiness assessments
- Secure coding practices training and threat modeling workshops
- Supply chain security and SBOM management
- Zero-trust architecture design and implementation
Key Benefits
- AI-assisted triage reduces mean time to detect (MTTD) and respond (MTTR)
- RAG-powered knowledge bases surface relevant threat intel at decision time
- LLM hardening eliminates prompt injection and data exfiltration risk before production
- Agentic automation handles tier-1 security tasks with zero human toil
- Reduce exploitable vulnerabilities by up to 90% through shift-left scanning and gating
- Accelerate deployment cycles by removing manual security bottlenecks from CI/CD
- Container and Kubernetes hardening cuts cluster attack surface from day one
- IaC policy gating prevents misconfigurations from ever reaching production
- Continuous compliance monitoring against SOC2, PCI DSS, HIPAA, NIS2, and DORA
- EU AI Act and Cyber Resilience Act readiness reduces regulatory exposure
- Lower security incident costs through prevention rather than reactive remediation
- Audit-ready evidence collection automated and continuously up to date
- Unified DevSecOps toolchain reduces context switching and alert fatigue
- Enhanced cross-team collaboration with shared security ownership culture
- Supply chain visibility via SBOM generation and dependency risk scoring
Cyber Security
Comprehensive security assessments, AI-augmented threat detection, and hardened protection strategies
What We Offer
- AI-driven threat detection and behavioural anomaly analysis
- LLM security audits (prompt injection, jailbreak, data exfiltration vectors)
- RAG-powered threat intelligence and incident knowledge bases
- Penetration testing and vulnerability assessments (OWASP, PTES)
- Web application and API security audits
- Infrastructure and network security architecture reviews
- Cloud security assessments (AWS, Azure, GCP) with CIS benchmark alignment
- Kubernetes and container security audits (kube-bench, Trivy, Twistlock)
- Zero-trust architecture design and implementation
- Supply chain security and SBOM risk analysis
- Security incident response planning and tabletop exercises
- Security awareness training and phishing simulation programs
Key Benefits
- AI-assisted triage cuts MTTD and MTTR significantly
- Identify and remediate critical vulnerabilities before exploitation
- Reduce attack surface across cloud, container, and AI workloads
- Continuous compliance against SOC2, PCI DSS, HIPAA, NIS2, and DORA
- LLM and AI workload hardening eliminates novel attack vectors
- 24/7 security monitoring with automated alerting and escalation
- Audit-ready evidence collection, continuously maintained
Cloud Engineering
Secure, scalable, and cost-efficient cloud infrastructure with native AI and sovereign deployment options
What We Offer
- AI and LLM workload infrastructure design (GPU nodes, inference clusters)
- Sovereign and self-hosted AI deployment on private cloud or on-premise
- RAG pipeline infrastructure -- vector databases, embedding services, retrieval layers
- Multi-cloud architecture design and implementation (AWS, Azure, GCP)
- Infrastructure as Code with security policy gating (Terraform, OpenTofu, Pulumi)
- Serverless architecture design with security-first patterns
- Secure CI/CD pipeline design, hardening, and optimization
- Observability stack setup (metrics, logs, traces) with security event correlation
- Cloud cost optimization and FinOps practices
- Disaster recovery, backup, and business continuity planning
- Cloud migration planning, execution, and post-migration hardening
Key Benefits
- Sovereign AI deployment keeps sensitive data and models under your control
- Cloud cost reduction up to 40% through FinOps and rightsizing
- IaC policy gating prevents misconfigurations from ever reaching production
- Improved scalability, reliability, and fault tolerance by design
- Faster deployment cycles with secure, automated pipelines
- Full observability across infrastructure, applications, and AI workloads
- Resilient disaster recovery with tested runbooks and RTO/RPO targets
FinOps
Bring financial accountability to your cloud spend with visibility, governance, and continuous optimisation
What We Offer
- Cloud spend visibility and tagging strategy across AWS, Azure, and GCP
- Cost allocation and chargeback modelling by team, product, and environment
- Reserved instance, savings plan, and committed use discount optimisation
- Rightsizing analysis and idle resource identification
- Unit economics and cost-per-workload reporting
- Budget alerting, anomaly detection, and spend forecasting
- FinOps practice setup and cross-functional team enablement
- Tooling integration (AWS Cost Explorer, Azure Cost Management, CloudHealth, Apptio)
Key Benefits
- Typical cloud cost reduction of 20–40% within the first 90 days
- Full spend visibility across teams, environments, and workloads
- Eliminate wasteful spend on idle, over-provisioned, or orphaned resources
- Accurate forecasting enables confident budget planning and capacity decisions
- Engineering and finance aligned on shared cost ownership
- Continuous optimisation embedded into delivery workflows, not bolted on after