Secrets and credentials exposure
API keys, passwords, tokens, certificates, or shared credentials accidentally committed to repositories or left inside unmanaged systems.
I help searchers, operators, and investors evaluate whether software, systems, automation, infrastructure, documentation, and technical ownership create real advantage — or hidden post-close risk.
In many small and lower-middle-market acquisitions, technology is treated as an operational detail. That is dangerous when the business relies on proprietary software, custom integrations, automation, embedded systems, or one technical person who knows how everything works.
Proprietary technology is not automatically a moat. Sometimes it is defensible know-how. Sometimes it is expensive maintenance debt with a good story around it.
The question is not only whether the system works today. It is whether a new owner can safely operate, support, improve, and staff it after close.
The output should help you make a better acquisition decision and understand the first 30, 60, and 90 days of technical work after closing.
A focused review should connect technical findings to ownership risk, transition risk, remediation effort, and post-close execution priorities.
API keys, passwords, tokens, certificates, or shared credentials accidentally committed to repositories or left inside unmanaged systems.
Critical systems, deployment knowledge, vendor relationships, or recovery procedures owned by one person with limited documentation.
Open-source license exposure, unclear contractor assignment, personal email commits, or missing ownership records for important code.
Old frameworks, abandoned migrations, custom integrations, or technologies that are hard to hire for and expensive to maintain.
Known vulnerable dependencies, missing patch processes, weak access control, poor backup discipline, or fragile recovery procedures.
Slow release cadence, undocumented deployment steps, unclear ownership, poor observability, and weak handover readiness after close.
A useful review looks at the technical asset, the people around it, the operating model, and the risks that may not appear in the CIM or financials.
System structure, dependencies, scalability limits, upgrade path, technical debt, and whether the software actually supports the business model.
Older languages, scarce skills, undocumented tooling, fragile build processes, and whether maintainers can realistically be found after close.
Deployment process, backups, monitoring, incident response, infrastructure maturity, support burden, and operational survivability.
Key-person dependency, documentation quality, ownership clarity, tribal knowledge, technical leadership gaps, and transition risk.
Identity management, secrets handling, privileged access, auditability, recovery posture, and basic safeguards expected from a business-critical system.
Where automation is useful, where it is fragile, and whether AI-generated or low-governance systems introduce hidden maintenance risk.
These are often the situations where technology risk is underestimated: industrial equipment, field service, healthcare, logistics, manufacturing, B2B services, niche platforms, or old businesses with custom systems that quietly run the operation.
We pressure-test whether that claim creates pricing power, operational advantage, customer lock-in, margin improvement, or only future cost.
If the software lives in one person’s head, the deal may depend on retention, incentives, documentation, and a realistic transition plan.
Embedded and industrial systems require looking beyond code: hardware interaction, calibration, installation, support, manufacturing process, and field failures matter.
The review is designed to produce an executive summary, critical findings, risk classification, transferability concerns, post-close priorities, and suggested deep-dive areas. The goal is not a giant theoretical report. The goal is a sharper acquisition decision.
Safyron is led by Ilian Madzharov, a former software engineer and technology executive who co-founded and scaled a software delivery company to nearly 100 people. The review is grounded in practical ownership questions: what will break, who understands it, who can maintain it, and what the buyer must do next.
Scope depends on the deal, access, technology footprint, stakeholder availability, and how much confidence the buyer needs before close.
For legacy, embedded, Delphi, Lotus Notes, industrial, or uncommon stacks, the right expert matters more than a generic code review.
If problems are found, the next question is execution: what to stabilize, what to defer, what to replace, and what must be transferred before the seller exits.
Bring the messy version: what the seller claims, what worries you, what access you have, who currently owns the technology, and what decision you need to make.
Not every deal needs deep technical diligence. But if software, systems, automation, data, infrastructure, or one critical technical employee can affect revenue, service delivery, customer retention, or post-close execution, ignoring it is reckless.