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Technical diligence can change an acquisition’s price, terms, funding, integration plan—or whether a buyer proceeds. The danger is not that one defect automatically kills a deal; it is that important risks remain unverified, unpriced, or unowned until the buyer has committed. Strong diligence tests material claims, estimates the consequences of findings, and assigns decision-makers, budgets, and timelines before close.

What makes a technical finding deal-threatening?

A finding matters most when it threatens the deal thesis or creates exposure the buyer cannot confidently contain, price, or allocate. A vulnerable component, for example, may be manageable if its scope is known, a fix is feasible, and the cost is funded. The same issue can be much more serious if it affects a core product, exposes sensitive data, depends on an unavailable specialist, or cannot be bounded before closing.

Cybersecurity is a material concern for many deal professionals, but survey results describe respondents—not the probability that any particular deal will fail. In the 2025 Diligent Dealmaking / Mergermarket technology M&A survey, more than 90% of North American and European respondents treated cybersecurity as a top-tier concern. Asked whether cyber risk could be a dealbreaker, 46% of European respondents and 49% of North American respondents said yes.

A material finding can lead to several different decisions: proceed with a revised price or budget, require a defined remediation plan, negotiate transaction-document protections with counsel, stage or delay integration, or walk away. These are possible business responses, not guaranteed remedies or legal advice. The right response depends on the evidence, the target’s role in the deal thesis, the cost and timing of remediation, and the parties’ ability to allocate risk.

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Seven technical diligence errors that create avoidable deal risk

1. Treating management assurances as technical evidence

Interviews and seller documents help explain how a target says its systems work. They do not establish that the systems behave as represented, that controls operate effectively, or that relevant risks have been found. The National Association of Corporate Directors (NACD) recommends combining traditional document and interview requests with technical testing. Its 2026 guidance warns that even a target’s security team may not know about hidden enterprise risks.

Where access, confidentiality, and deal timing allow, corroborate important claims with system records, control evidence, scoped technical testing, and independent specialist review. Testing can reduce uncertainty; it cannot guarantee that every vulnerability or weakness will be found.

NACD describes the approach this way: “A robust methodology will include both traditional due diligence practices, such as documents and interview requests, and technical testing to obtain irrefutable data.” The practical point is to seek evidence that can be checked, not to treat any single test as conclusive.

2. Leaving cybersecurity, privacy, and incident history until late

Late discovery can leave too little time to understand an incident, determine the affected systems and data, or incorporate a response into deal terms and funding. Review security maturity, known incidents and breach disclosures, vulnerability information, privacy obligations, control ownership, insurance, and incident-response readiness early enough for material findings to reach the deal team and counsel.

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Regulatory applicability is specific to the target’s geography, sector, and role. The 2025 Diligent Dealmaking / Mergermarket survey notes buyer attention to alignment with frameworks such as NIS2 and DORA; that does not mean both regimes apply to every target. Confirm which obligations actually govern the business rather than treating framework names as a universal checklist.

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3. Ignoring suppliers and inherited dependencies

A target’s effective technology perimeter often includes cloud hosts, software vendors, infrastructure providers, data processors, and outsourced services. A buyer can inherit exposure or operational dependence through these relationships even when the target’s internal controls appear sound.

Identify providers that support core products or operations, then assess concentration, substitutability, incident-notification commitments, relevant indemnities, and audit rights. The National Institute of Standards and Technology’s July 2026 SP 1326 offers a useful ICT-supplier lens: ownership, control, or influence; provenance; resilience; foundational cybersecurity practices; and supply-chain tiers. It is supplier-risk guidance, not a complete M&A diligence standard.

NIST defines due diligence research as “the investigative process of researching all available, pertinent information about a given supplier or product so that informed decisions can be made on new acquisitions or existing systems.” For a deal team, that means understanding not only who supplies a service but also what depends on it and what a disruption or replacement would entail.

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4. Underestimating technical debt and legacy systems

Deferred upgrades, unsupported platforms, brittle integrations, manual workarounds, end-of-life components, and systems that rely on scarce staff can create liabilities that do not appear as a simple line item in the purchase price. They can increase operating costs, constrain product development, complicate integration, and raise cyber or continuity risk.

Inventory these dependencies and estimate the cost and time to maintain, secure, replace, or integrate them. KPMG’s 2025 technology-sector survey describes unplanned technical debt as a source of hidden costs, stalled innovation, cyber and operational risk, and post-close surprises. Its findings were based on 135 technology-sector deal professionals as of September 2025; they indicate reported concerns, not a guaranteed outcome for a particular target.

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5. Accepting product and architecture claims without testing scalability

If the acquisition thesis depends on a product scaling, a platform supporting new workloads, or data enabling a particular capability, verify those assumptions. Examine architecture, data flows, reliability, capacity, and operational support against the growth case in the thesis. A product demonstration or management forecast alone may not establish that the underlying systems can deliver the expected scale.

KPMG’s 2024 technology M&A survey identified understanding platform capabilities and scalability as a leading diligence challenge for private-equity respondents. Corporate and private-equity respondents also cited the accuracy and completeness of financial and operational data as a challenge. These are reported survey challenges, not evidence that any particular target’s claims are inaccurate.

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6. Forgetting remediation and integration economics

A finding without an estimate is not yet a transaction decision. Translate material issues into one-time remediation, recurring operating costs, staffing and vendor needs, integration dependencies, sequencing, and an accountable owner. NACD specifically recommends including remediation costs in transaction costs so the buyer does not arrive after close with an unfunded request.

Integration planning also needs explicit choices: which systems to retain, replace, connect, or leave separate; who owns each decision; when it must be made; and what funding is available. PwC’s 2026 M&A Integration Survey says only about one in three acquirers fully achieved their deal-thesis objectives. PwC presents these as respondent-reported associations, not causal estimates that a particular integration practice will produce a particular result.

PwC describes the decision gap as “The distance between the deal thesis and the explicit, owned choices required to make it real.” Treat that as a governance problem to close before integration starts, not as a task to defer until after close.

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7. Allowing speed or deal momentum to suppress escalation

Agree before findings arrive which issues must be escalated, to whom, and on what timetable. Escalation thresholds should cover risks that could alter the deal thesis, security or privacy obligations, customer continuity, financing, or time-to-value. A process that produces a long technical report but does not route consequential findings to decision-makers has not completed the work.

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In SRS Acquiom’s 2026 report, based on a Q4 2025 survey of 150 senior U.S. investment banking executives, 47% said technology diligence had been their main diligence priority over the preceding 12 months, while 51% called it the most burdensome diligence area. Those responses suggest process pressure among that group; they do not establish a universal diligence timeline or justify skipping evidence-gathering.

What evidence should a buyer request?

Build the request around the target’s product, sector, jurisdiction, transaction structure, and deal thesis. A practical starting set can include:

  • Architecture and data-flow diagrams, plus system, software, cloud, and critical-supplier inventories.
  • Vulnerability and penetration-test summaries, security policies, control evidence, and records of remediation.
  • Incident, breach, backup, disaster-recovery, and business-continuity records.
  • Privacy, data-retention, and data-location maps, along with relevant obligations and control ownership.
  • Product roadmaps, service availability and support data, and evidence relevant to claimed reliability or scalability.
  • Technical-debt and end-of-life registers, manual workarounds, and dependencies on key personnel.
  • Intellectual-property and software-license records, plus current integration or modernization plans.

For critical claims, compare what management represents with relevant artifacts and, where appropriate, scoped testing by qualified specialists. NACD supports combining traditional diligence with technical testing, while NIST SP 1326 supplies dimensions for supplier review. Neither source establishes one universal request list or a guarantee of complete discovery.

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How to compare and prioritize findings

Use a consistent decision record rather than a raw list of defects. The following comparison dimensions are a practical synthesis of the sources’ emphasis on evidence, supplier risk, costs, and integration ownership; they are not an official scoring framework.

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Dimension Questions to answer
Severity and evidence quality Is the issue confirmed or based on an unverified representation? What is the likely blast radius, and how quickly can it be contained?
Cost and timing What immediate remediation, recurring operating expense, migration time, and staffing are needed?
Business dependence Does the issue affect customer-facing or revenue-critical systems, sensitive data, resilience, or a supplier with few substitutes?
Deal-thesis impact Is the affected capability central to the acquisition rationale, or could it remain separate or be deferred?
Execution and liability Who owns the fix, how is it funded, what integration access controls are needed, and what contractual protections or insurance questions require counsel’s review?

Record the evidence behind the finding, its business consequence, the decision owner, the deadline, the budget source, and any conditions that would change the recommendation. This makes it possible to distinguish a verified, bounded repair from a material uncertainty that still needs investigation.

When should a finding change the go/no-go decision?

Escalate a finding as a potential deal issue when one or more of these conditions apply:

  • It undermines a capability or growth assumption central to the deal thesis.
  • Its scope or blast radius cannot be bounded with available evidence.
  • Remediation is unusually costly, slow, or dependent on unavailable people or suppliers.
  • It could create significant legal, regulatory, privacy, or customer-continuity exposure.
  • The buyer cannot identify a credible owner, budget, schedule, or contractual allocation for the risk.

The response need not be binary. Depending on severity and transaction context, the parties may consider repricing, a defined and funded remediation plan, transaction-document protections assessed by counsel, delayed or staged integration, or ending the transaction. KPMG’s 2025 survey supports the narrower point that some respondents regard cyber risk as potentially dealbreaking and describes attention to more detailed warranties and indemnities; only transaction counsel can assess the protections appropriate to a specific agreement.

How to interpret the available deal-risk statistics

Survey findings are useful signals of what deal professionals worry about, but their respondent groups and question wording matter. The cybersecurity figures above concern North American and European respondents to the 2025 Diligent Dealmaking / Mergermarket technology M&A survey. The SRS Acquiom figures concern 150 senior U.S. investment banking executives surveyed in Q4 2025. PwC’s 2026 integration results are respondent-reported associations, not causal estimates. None gives a universal probability that a technical defect will terminate a deal.

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Similarly, the U.S. Government Accountability Office reported that seven of 16 selected mission-critical federal IT acquisitions identified high cybersecurity and information-privacy risks in its 2025 work. That finding provides public-sector acquisition context only; it is not a statistic about corporate M&A deals.

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