Case study
Security tooling existed at this growing energy organization — what was missing was ownership of the gaps between the tools, and any governance at all around the AI services employees were rapidly adopting. Ironguard built the security baseline into the daily operating model and gave leadership practical visibility and rules for AI use, without slowing anyone down.
The customer
The same fast-scaling, multi-site renewable-energy technology company: hundreds of employees, a Microsoft 365-centered environment, engineering teams adopting new tools weekly, and customers, partners, and insurers with real security expectations.
The problem
The failure mode was never a missing product. It was MFA with quiet exceptions, devices connecting to company data outside management, offboarding that trailed departures, email protections configured once and never revisited — and, newest of all, AI tools entering the company through individual sign-ups, invisible to leadership, with no rules about what data could go into them.
The business risk
Mid-sized companies rarely get hurt by sophisticated attacks; they get hurt in the unowned space between tools and teams. Add ungoverned AI adoption and the exposure compounds: sensitive data flowing into consumer-grade services with nobody able to answer who is using what.
Ironguard's assessment
Two moves, one discipline. First, make the security baseline part of daily operations — identity, endpoints, email, access lifecycle — each control with a named owner and evidence that it works. Second, treat AI as an operations question: inventory actual usage, set practical rules, and give employees an approved path instead of a prohibition they will route around.
What we did
Enforced MFA and conditional access without exception classes; brought endpoints — including field and remote devices — under management with monitoring; rebuilt email protections to current standards; made offboarding same-day and automatic; and stood up AI governance: a living inventory of tools in use, plain-language rules for what data may go where, an approved-tool path, and periodic review with leadership.
The complexity handled
Security work at a company in motion has one hard constraint: it cannot slow the business that funds it. Controls were rolled out in sequence with communication and exceptions handled to zero — the difference between a baseline on paper and one that holds.
The result
Leadership can now answer the questions that used to end in silence: who has access to what, which devices touch company data, what happens when someone leaves, and which AI tools the company actually uses. Security stopped being a stack of products and became a set of owned, evidenced controls.
Where it stands
The baseline is maintained as part of daily operations, and the AI governance program reviews new tools as the landscape shifts.
Services involved
Identity & access · Endpoint security · Email security · Offboarding automation · AI usage governance · Security reporting