Software and Cloud Due Diligence Consulting
Cyberonix conducts focused technical due diligence on a software or cloud product, covering its architecture, scalability, reliability, security, and operational posture, for engagements that may or may not sit inside an M&A transaction. Enterprise customers and partners use the work to evaluate a vendor or platform before commitment; investors use it as the technical layer of a broader diligence stream or as a standalone read on a software-first target; technology leadership uses it to support a build-versus-buy or platform-selection decision. The unit of analysis is a single product rather than a full target, and the question the engagement answers is bounded accordingly: whether the product can carry the load, the workload security profile, and the operational commitments the client is being asked to rely on. The deliverable is written analysis grounded in the architecture documents, codebase, runtime telemetry, and third-party assessment records the engagement is given access to.
Architecture, Scalability, and Reliability
System architecture is read against the workload profile, growth case, and reliability commitments the product is sold or operated under, not against an abstract reference model.
The architecture review examines decomposition into services and tiers, interface contracts and coupling between components, deployment topology, and the cross-cutting concerns of authentication, authorization, observability, and error handling. Where the product carries availability or recovery-time commitments, the multi-region and multi-availability-zone posture is examined against what those commitments require, not against marketing positioning. Single points of failure, hidden cross-region dependencies, and recovery procedures that have not been exercised under realistic load are surfaced where the artifacts and operational records reveal them.
Data-tier scaling characteristics are evaluated against the load the product actually carries rather than the load a generic architecture diagram suggests. The partitioning strategy, replication and consistency model, hot-key behavior, and rebalancing posture are read for the breaking points the projected growth path will reach. Cyberonix names where the data tier will hold and where it will require rework, and the engineering investment each step demands.
Reliability is assessed from service-level objectives, error budgets, and the incident record (what the system actually does under stress) rather than from claims about its design. The on-call data, post-mortem depth, and recurrence of root causes are read as primary evidence of operational reliability. Where machine-learning components sit in the data path, the evaluation infrastructure that gates model promotion and the drift-monitoring posture in production are reviewed as reliability concerns rather than as a separate AI topic.
Security Posture and Data Isolation
Security is reviewed from the artifacts that produce the product’s actual posture, not from the certification logos that summarize it.
Threat-model coverage is examined against the product’s exposure surface as it actually exists: public APIs, customer-facing interfaces, third-party integrations, supply-chain dependencies, build and release infrastructure, and administrative access paths. The vulnerability-management practice the artifacts demonstrate, the dependency-update cadence, the secrets-management discipline across the development pipeline, and the unresolved-vulnerability backlog are evaluated together rather than in isolation. The pattern is stronger evidence than the headline metric.
For SaaS products, multi-tenancy and data-isolation posture are reviewed at each layer the boundary must hold at (database, object storage, compute, and the request-routing path between them), together with the controls that enforce the boundary at each layer. Authentication and authorization posture, including the discipline applied to administrative and service-to-service access, is examined alongside secrets management, key management, and customer-managed key support where the product offers it.
Compliance evidence is read against the artifacts that should support the assertions rather than against the certification labels themselves. SOC 2 Type II service-organization controls, ISO 27001 information-security management, HIPAA healthcare-data controls, PCI-DSS payment-card controls, FedRAMP federal-cloud authorization, GDPR EU data-protection obligations, and regional residency frameworks are each examined against the underlying control evidence and the scope statement the certification rests on. A logo on a sales page is not treated as a finding.
Operations, Third-Party Dependencies, and Roadmap Risk
Operational maturity, dependency concentration, and roadmap credibility are the three remaining dimensions a software or cloud diligence must resolve before the client can rely on the product.
Operational maturity is assessed from the records the engagement is given access to: the incident-response history together with its post-incident corrective record, the change-management practice the artifacts demonstrate, the observability coverage across services and tiers, and the on-call discipline the on-call data itself displays. The depth of the post-mortems, the recurrence of root causes, and the response-time pattern under stress are stronger signals than the documented process maturity. Where the artifacts and the management narrative diverge, the artifacts are reported.
Third-party dependencies are inventoried across the layers the product rests on: cloud providers, foundation-model vendors, payment and identity providers, and observability and security vendors. Concentration risk is named where a single vendor carries critical capability the product cannot substitute for under realistic timelines, and the exit cost of unwinding the dependency is reported where the engagement scope requires it. The inventory is read together with the contractual posture (change rights, disclosure obligations, and the service commitments the vendor actually owes) rather than from the vendor relationship in isolation.
Roadmap risk closes the work: whether the posted roadmap is consistent with the engineering capacity and architecture evidence the diligence has surfaced, or whether the gap between commitment and capacity has been understated. Findings are calibrated to the commitment the client is being asked to make: a vendor contract, a partnership commitment, an investment, or an acquisition. The analytical record is built to the evidentiary standard the firm applies in its litigation work, so that if the commitment is later tested in dispute or if a vendor’s representations later prove inaccurate, the diligence record stands on the artifacts it rests on.
Our Experts
The Cyberonix software and cloud due diligence team is the same group of senior consultants who staff the firm’s litigation work. Each holds a faculty appointment at a research university in the United States, with recognitions including IEEE Fellow status, ACM Distinguished Member status, and named professorships at leading research institutions. Industry depth spans distributed systems, cloud architecture, and software security, with engineering background in the operational and architectural disciplines the product under review draws on. Engagements are staffed so the lead consultant’s research record and industry background align with the product’s technology stack and deployment model.