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What Is Technical Due Diligence? 

Tech due diligence is an independent, expert-led assessment of a company’s software, infrastructure, security, and engineering team. Conducted during M&A or funding rounds, its goal is to validate technology claims, uncover hidden technical debt, mitigate risks, and evaluate whether the technology can support future business growth.

Types of technical due diligence include:

    • Mergers and acquisitions (M&A): Evaluates technology risks, scalability, and integration readiness before an acquisition.

    • Investor technical: Assesses whether the technology supports the company’s growth plans and valuation.

    • Vendor technical: Reviews a technology vendor’s architecture, security, and operational maturity before procurement.

    • Product technical: Examines a product’s architecture, maintainability, and readiness for growth or integration.

    • Software technical: Analyzes code quality, architecture, technical debt, and software development practices.

    • IT infrastructure: Evaluates infrastructure scalability, resilience, security, and operational readiness.

Why Is Technical Due Diligence Important? 

Technical due diligence helps stakeholders verify whether a company’s technology supports its business claims and valuation. It reveals risks that may not appear in financial or legal reviews and provides the evidence needed to make informed decisions:

    • Identifies technical risks: The review can uncover security gaps, unstable infrastructure, poor code quality, unsupported systems, and technical debt.

    • Validates scalability: It determines whether the current architecture, infrastructure, and engineering practices can support more users, transactions, and products.

    • Improves valuation accuracy: Technical findings can affect the purchase price, investment terms, warranties, or funds reserved for post-transaction improvements.

    • Highlights integration challenges: Buyers can assess how difficult it will be to connect systems, migrate data, combine platforms, or standardize development processes.

    • Evaluates the engineering organization: The process reviews team structure, key-person dependencies, development capacity, documentation, and operational ownership.

    • Supports post-transaction planning: Findings help stakeholders prioritize remediation work, estimate costs, assign resources, and create an integration roadmap.

    • Confirms compliance and security readiness: The assessment checks whether technical controls, data handling practices, and systems meet regulatory and industry requirements.

Technical Due Diligence vs. Similar Assessments

Technical Due Diligence vs. IT Audit

Technical due diligence focuses on evaluating the technology stack, architecture, software quality, and scalability in the context of a business transaction, such as an acquisition or investment. It is forward-looking and aims to determine whether the technology supports business goals, growth, and integration plans. The assessment is broad, covering code, infrastructure, security, team capabilities, and technical debt.

An IT audit is typically a recurring, compliance-driven process that reviews an organization’s IT controls, procedures, and policies. IT audits focus on regulatory adherence, risk management, and operational effectiveness. They assess whether current IT practices meet internal and external standards rather than evaluating the technology’s strategic fit for a business deal. While both involve technical evaluation, technical due diligence is transaction-specific and strategic, whereas IT audits are ongoing and focused on governance.

Technical Due Diligence vs. Cybersecurity Assessment

A cybersecurity assessment centers exclusively on an organization’s security posture, identifying vulnerabilities, threats, and compliance gaps in systems, networks, and data protection practices. The primary goal is to quantify risk exposure from a security standpoint and provide recommendations to reduce breaches or data loss. This assessment often involves penetration testing, vulnerability scanning, and policy reviews.

Technical due diligence includes cybersecurity as one of several focus areas. It also evaluates technology architecture, software quality, infrastructure, and operational processes. The objective is to provide a complete view of technical risks and capabilities in the context of a business transaction. While a cybersecurity assessment may contribute to technical due diligence, the latter has a broader scope and considers how security fits into the overall technology landscape.

Technical Due Diligence vs. Application Assessment

An application assessment is a targeted review of a software product or application. It examines code quality, architecture, functionality, performance, and security at the application level. The assessment is granular and often includes static and dynamic code analysis, user experience evaluation, and performance benchmarking. Its goal is to ensure the application meets business requirements and technical standards.

Technical due diligence is not limited to a single application. It evaluates the entire technology environment, including multiple applications, infrastructure, processes, and teams. While application assessment may be part of technical due diligence, the latter provides a view of how all technical components interact and support business objectives. This perspective is critical for transactions where integration, scalability, and overall technology health are under review.

Lanir Shacham
CEO, Faddom

Lanir specializes in founding new tech companies for Enterprise Software: Assemble and nurture a great team, Early stage funding to growth late stage, One design partner to hundreds of enterprise customers, MVP to Enterprise grade product, Low level kernel engineering to AI/ML and BigData, One advisory board to a long list of shareholders and board members of the worlds largest VCs

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Tips from the Expert

In my experience, here are tips that can help you better conduct technical due diligence:

  1. Separate deal-breaking risks from post-close improvements:

    Classify findings into transaction blockers, valuation adjustments, integration risks, and routine modernization work. This prevents manageable technical debt from being presented with the same urgency as material security, ownership, or continuity risks.

  2. Test whether the architecture matches the revenue model:

    Evaluate whether system design supports how the company actually makes money. A platform may appear scalable technically while failing under the pricing model, customer onboarding process, transaction pattern, or service-level commitments that drive growth.

  3. Analyze engineering concentration by system:

    Map critical platforms to the individuals who understand and operate them. Team charts often hide the fact that one engineer holds the practical knowledge needed to deploy, recover, or modify a revenue-critical system.

  4. Reconstruct delivery performance from repository data:

    Do not rely only on reported development metrics. Use commit history, pull requests, release tags, incident records, and ticket timestamps to determine actual lead times, rework levels, review discipline, and delivery predictability.

  5. Inspect the undocumented operational layer:

    Review scripts, spreadsheets, manual database procedures, personal cloud accounts, scheduled jobs, and informal support workflows. These unofficial mechanisms frequently keep the business running but remain invisible in formal architecture documentation.

Types of Technical Due Diligence 

1. M&A Technical Due Diligence

Mergers and acquisitions (M&A) technical due diligence evaluates the technical health, scalability, and integration potential of a target company’s technology assets. The process covers core systems, software architecture, infrastructure, intellectual property, and technical debt. It aims to identify risks that could affect deal value, such as:

  • Obsolete technology
  • Poor documentation
  • Incompatible platforms

This form of due diligence also assesses the target’s ability to support future business growth and adapt to the acquiring company’s technology environment. A thorough M&A technical due diligence process includes reviewing the technical team’s structure, processes, and competencies. This helps acquirers determine whether the existing team can maintain or improve the technology post-acquisition. 

2. Investor Technical Due Diligence

Investor technical due diligence evaluates a startup or growth company’s technology to inform investment decisions. Investors use this process to verify claims made by founders regarding product scalability, security, and innovation. The assessment covers:

  • Code quality
  • Architecture
  • Technical debt
  • Team capabilities 

It helps ensure the technology can support business plans and projected growth. This type of due diligence also highlights risks that could impact the investment, such as reliance on outdated frameworks, lack of documentation, or weak cybersecurity measures. Investors use these findings to negotiate valuation, set milestones, or require remediation before closing a funding round. 

3. Vendor Technical Due Diligence

Vendor technical due diligence is performed by organizations evaluating third-party technology vendors before entering into significant partnerships or procurement agreements. The goal is to ensure the vendor’s technology meets the buyer’s requirements for security, scalability, integration, and compliance. The assessment covers:

  • Product architecture
  • Development practices
  • Support processes
  • The vendor’s ability to maintain and evolve the technology over time

By conducting vendor technical due diligence, organizations can avoid integration issues, security vulnerabilities, or vendor lock-in. The process also helps buyers identify risks in the vendor’s roadmap, support model, or team structure. This supports informed negotiations and ensures that the selected vendor can deliver on long-term business and technical objectives.

4. Product Technical Due Diligence

Product technical due diligence evaluates a product’s technical health, scalability, and readiness for market expansion or integration. The review examines the product’s architecture, codebase, infrastructure, and compliance with industry standards. To assess maintainability, it also considers the product’s: 

  • Development lifecycle
  • Testing practices
  • Documentation quality

This assessment is important for companies considering product acquisition, partnership, or significant investment. By identifying technical strengths and weaknesses, stakeholders can make informed decisions about integration, support requirements, and potential enhancements. The process ensures that the product aligns with strategic goals and can deliver value over its lifecycle.

5. Software Technical Due Diligence

Software technical due diligence involves a detailed review of the quality, maintainability, and scalability of a company’s software assets. The objective is to ensure that the software can support current and future business needs while reducing risks associated with technical debt or obsolete technologies. This includes: 

  • Code reviews
  • Architecture analysis
  • Dependency mapping
  • Assessment of development workflows

The process also evaluates the use of open-source components, licensing compliance, and security vulnerabilities within the software stack. By identifying these issues, stakeholders can estimate remediation costs and plan future development. Software technical due diligence provides a clear picture of the software’s strengths, risks, and alignment with business objectives.

6. IT Infrastructure Due Diligence

IT infrastructure due diligence evaluates the physical and virtual environments supporting an organization’s technology operations. The assessment verifies whether the infrastructure is scalable, resilient, and secure, and whether it can support business continuity and future growth. This includes:

  • Data centers
  • Networking equipment
  • Cloud services
  • Storage
  • Backup systems

Key considerations include disaster recovery plans, uptime guarantees, vendor contracts, and infrastructure documentation. By reviewing these elements, stakeholders can identify gaps or risks that could impact operational stability or integration efforts. IT infrastructure due diligence ensures that the underlying technology foundation can support business objectives.

Key Areas Evaluated During Technical Due Diligence

Technology Architecture

Technology architecture is a primary focus during technical due diligence. Evaluators assess how systems, applications, and data flows are structured and interconnected. They review the use of architectural patterns, such as microservices or event-driven designs, and look for modularity, scalability, and ease of integration. The goal is to determine whether the architecture can support current and future business requirements and adapt to changes or new features.

A review also examines documentation, adherence to best practices, and the presence of architectural bottlenecks or single points of failure. Evaluators may analyze system diagrams, data flow charts, and deployment pipelines to identify weaknesses or risks. This helps stakeholders understand the complexity, maintainability, and scalability of the technology stack.

Software Quality and Maintainability

Software quality and maintainability determine how easily systems can be enhanced, supported, and scaled over time. Evaluators review code quality, coding standards, test coverage, documentation, and application design. They assess whether the codebase is modular and understandable, allowing engineers to introduce changes without unnecessary risk.

The review identifies issues such as duplicated code, outdated frameworks, poor testing practices, and excessive complexity. It also examines dependency management, release quality, and defect history. These findings help estimate future maintenance costs, development velocity, and the effort required to implement new features or modernize the software.

Infrastructure and Cloud Environment

Infrastructure and cloud environment assessments examine the platforms that host and operate the company’s applications. This includes cloud providers, virtual machines, containers, networking, databases, storage, monitoring, and backup systems. The objective is to verify that the environment is reliable, scalable, secure, and designed for current and expected workloads.

Evaluators also review infrastructure automation, capacity planning, disaster recovery, and high-availability configurations. They assess cloud cost management, environment consistency, and operational documentation. The findings reveal operational risks, infrastructure limitations, and opportunities to improve resilience and cost control.

Cybersecurity and Data Protection

Cybersecurity and data protection reviews evaluate how effectively the organization protects its systems, applications, and sensitive information. The assessment covers identity and access management, encryption, vulnerability management, network security, endpoint protection, logging, and incident response capabilities. The goal is to determine whether security controls are appropriate for the company’s risk profile.

The review also examines compliance with regulations and standards, such as GDPR, HIPAA, PCI DSS, or SOC 2, where applicable. Evaluators look for secure software development practices, regular security testing, and third-party risk management. Identified weaknesses can affect valuation, require remediation, or increase post-transaction integration costs.

Development Processes and DevOps

Development processes and DevOps practices are evaluated to determine how efficiently the engineering organization delivers software. Reviewers assess development methodologies, source code management, code review practices, testing strategies, continuous integration and continuous delivery (CI/CD), and release management. Mature processes generally result in predictable delivery and higher software quality.

The assessment also considers collaboration between development, operations, and security teams, along with the use of automation for testing, deployment, and infrastructure provisioning. Metrics such as deployment frequency, lead time for changes, and production incident rates help measure engineering effectiveness. These insights indicate whether the organization can continue delivering new features while maintaining operational stability.

Technology Costs and Technical Debt

Technology costs and technical debt are reviewed to understand the long-term financial and operational impact of the company’s technology decisions. Evaluators analyze infrastructure spending, software licensing, third-party services, maintenance costs, and engineering effort required to sustain existing systems. This helps determine whether technology expenses align with business value.

Technical debt is assessed by identifying outdated technologies, temporary workarounds, unsupported dependencies, and architectural compromises that increase future development effort. Evaluators estimate the cost and priority of addressing these issues and assess their effect on scalability, security, and maintainability. This information helps buyers and investors forecast future investment needs and incorporate remediation costs into transaction planning.

Technical Due Diligence Best Practices 

Organizations can improve their technical due diligence by implementing the following practices.

1. Begin with Automated Asset Discovery

Automated asset discovery provides a starting point by creating an inventory of applications, infrastructure, databases, cloud resources, repositories, and third-party services. Using automated tools reduces the chance of overlooking systems and provides objective data that can be verified throughout the assessment. It also speeds up the discovery phase and reduces reliance on manual documentation.

The collected inventory should be validated against architecture diagrams and operational records. Differences often reveal shadow IT, obsolete systems, or undocumented services that introduce operational or security risks. A complete asset inventory establishes the foundation for the due diligence process.

Key actions:

  • Inventory applications, infrastructure, and cloud resources
  • Identify unsupported and unmanaged assets
  • Validate discovered assets against documentation
  • Continuously update the asset inventory

2. Map Dependencies Before Recommending Changes

Technology components rarely operate in isolation, so understanding dependencies is critical before proposing remediation or integration plans. Evaluators should identify relationships between applications, databases, APIs, infrastructure, third-party services, and business processes. This helps determine how changes in one system may affect others.

Dependency mapping also highlights critical systems, integration bottlenecks, and single points of failure. These insights reduce the risk of outages during migration or modernization and help stakeholders prioritize improvements with manageable implementation risk.

Key actions:

  • Discover application and infrastructure dependencies
  • Document integrations and external services
  • Identify critical systems and single points of failure
  • Validate dependency maps with technical teams

3. Validate Interviews with Technical Evidence

Interviews with engineering leaders and technical staff provide context, but their statements should be supported by technical evidence. Evaluators should verify claims using source code repositories, infrastructure configurations, monitoring data, deployment pipelines, architecture documentation, and security reports. This approach produces defensible findings.

Cross-validation helps identify inconsistencies between documented processes and actual practices. For example, a team may describe an automated deployment process that is only partially implemented. Verifying information with technical artifacts reduces the risk of decisions based on assumptions.

Key actions:

  • Review source code and architecture documentation
  • Verify deployment and CI/CD processes
  • Analyze infrastructure and monitoring data
  • Compare interview findings with technical artifacts

4. Prioritize Risks by Business Impact

Not every technical issue requires the same level of attention. Findings should be ranked according to their potential effect on business operations, revenue, security, regulatory compliance, customer experience, and future growth. This allows decision-makers to focus resources on the issues that present the greatest overall risk.

Risk prioritization should consider both the likelihood of an issue occurring and its consequences. Presenting risks in business terms makes technical findings easier for executives, investors, and acquisition teams to incorporate into transaction planning.

Key actions:

  • Rank findings by business and operational risk
  • Assess likelihood and potential impact
  • Highlight issues affecting growth and integration
  • Focus remediation on high-priority risks

5. Quantify Remediation and Integration Costs

Technical findings become more actionable when accompanied by realistic estimates of remediation effort and cost. Evaluators should estimate the engineering resources, timelines, infrastructure investments, licensing expenses, and external services required to address significant issues. These estimates support budgeting and transaction negotiations.

Integration costs should account for system migration, data conversion, API development, user training, and operational changes. Providing quantitative estimates helps stakeholders compare alternatives, negotiate purchase terms, and prepare post-transaction implementation plans.

Key actions:

  • Estimate engineering effort and timelines
  • Calculate infrastructure and licensing costs
  • Assess migration and integration complexity
  • Document assumptions behind cost estimates

6. Translate Technical Findings Into Business Terms

Technical due diligence reports should explain not only what the issues are but also why they matter to the business. Instead of focusing only on architectural or engineering details, findings should describe their impact on growth, operating costs, customer experience, regulatory exposure, or integration complexity. This makes the report useful to both technical and non-technical stakeholders.

Each significant finding should include business implications, supporting evidence, and recommendations. Presenting information in business terms improves communication between engineering teams, executives, investors, and legal advisors.

Key actions:

  • Explain business impact for each major finding
  • Support conclusions with technical evidence
  • Provide prioritized remediation recommendations
  • Present findings for both technical and executive audiences

How Faddom Supports Technical Due Diligence

Faddom is an agentless application dependency mapping platform that gives acquisition and diligence teams instant, real-time visibility into a target’s complete IT infrastructure. By mapping both companies’ environments in minutes through agentless discovery, Faddom surfaces the hidden IT risks that derail many integrations before they begin, helping stakeholders make confident decisions at every stage of the M&A lifecycle, from initial due diligence through Day 1 readiness and post-close optimization.

Key capabilities of Faddom:

  • Risk transparency: Instantly surfaces hidden technical debt and security gaps, so diligence teams know exactly what they are inheriting and can price risk early rather than after close.
  • Zero-hour discovery: Discovers the full IT inventory, including shadow IT and legacy systems missing from documentation, in under 60 minutes using agentless, fast, and discreet scanning.
  • Change impact analysis: Visualizes real-time application dependencies and predicts how proposed changes will affect critical applications, automatically grouping systems into clean migration waves for a seamless transition.
  • Valuation-ready environment maps: Provides a comprehensive map of the target’s environment within one hour, removing guesswork from valuation by exposing security gaps and technical debt before they impact the deal price.
  • Unified compliance: Maintains continuous compliance across the merged environment from a single dashboard, reducing audit effort and compliance friction.

See how Faddom brings instant infrastructure visibility to every stage of the deal – explore Faddom for M&A due diligence and integration.