Enterprise cyber architecture
Zero Trust, identity, data, application, endpoint, network, cloud, OT, SOC, and resilience as one control system.
Enterprise & industry
Modernize complexity without inheriting new risk.
Integrated cyber, cloud, network, infrastructure, data, AI, and operational transformation for complex, distributed organizations.
Sector operating reality
Large enterprises need technology change to improve growth, resilience, productivity, and control. IRIS connects strategy, architecture, delivery, and operations so transformation produces a coherent operating environment.
01Secure modernization
02Operational resilience
03AI and data value
04Platform and network simplification
Integrated capability
Designed around the environment—not a generic stack.
IRIS combines the disciplines required to protect, modernize, and operate the sector’s critical technology journeys.
Cloud & platform transformation
Landing zones, workload modernization, containers, integration, data platforms, FinOps, security, and operations.
Intelligent networking
Campus, WAN, SASE, data center, wireless, edge, experience, automation, and observability.
AI & data industrialization
Use-case strategy, data foundations, GenAI, agents, analytics, MLOps, governance, and secure AI infrastructure.
Infrastructure resilience
Compute, storage, virtualization, protection, recovery, data center, performance, and capacity modernization.
Managed operations
Accountable security, network, infrastructure, cloud, exposure, incident, and improvement services.
Outcome focus
What the transformation should change.
Technology value becomes visible when it improves control, experience, resilience, and the ability to move.
Simpler technology operating model
Define a baseline, the desired state, and the evidence that demonstrates progress.
Faster and safer modernization
Define a baseline, the desired state, and the evidence that demonstrates progress.
Improved resilience and visibility
Define a baseline, the desired state, and the evidence that demonstrates progress.
Greater value from data and automation
Define a baseline, the desired state, and the evidence that demonstrates progress.
Practical starting points
Begin where the decision is most urgent.
Enterprise architecture discovery
Map business priorities, technology domains, dependencies, risk, target state, and transformation sequence.
Discuss the starting point ↗Resilience and recovery review
Connect critical services to infrastructure, cyber scenarios, backup, recovery, exercises, and ownership.
Discuss the starting point ↗AI and automation roadmap
Prioritize measurable use cases, data foundations, platform needs, controls, skills, and adoption.
Discuss the starting point ↗Talk to IRIS
Engineer the right technology path for enterprise & industry.
Bring us the objective, the constraint, or the problem. We will bring the right regional specialists into the conversation.