Owner of Wire Hold
AI-native cybersecurity & IT consulting
Redesign the operating work—not just the tooling—so teams make faster decisions with controls intact.
AI-native transformation
Typical outcomes
- AI-native operating model and workflow redesign
- Cybersecurity and IT process automation
- Platform, data, integration, and resilience roadmaps
- Technology rationalization and change enablement
The package
ModernizeScoped program
AI-native modernization
Fix the security and IT workflow, not only the stack.
- AI-native operating model and workflow redesign
- Cybersecurity and IT process automation
- Platform, data, integration, and resilience roadmaps
- Technology rationalization and change enablement
Teams constrained by manual work, fragmented tooling, or legacy process.
How an engagement runs
Baseline
Establish what is actually true today: controls in place, real exposure, who owns what, and which decisions are already waiting on an answer.
Prioritize
Rank the work by risk reduced per unit of effort, and agree explicitly on what will not be done this quarter.
Operate
Track remediation and outcomes while resolving the executive decisions that keep the program moving.
Transfer
Leave documented decisions, working systems, and an internal owner who can carry the program forward without the consultant.
Measured against
- NIST CSF 2.0
- NIST AI RMF 1.0
- CIS Controls v8
- ITIL 4
- COBIT 2019