Before You Ask the Vendor: Build a Passive Due Diligence Layer

The vendor has already made the shortlist.

The business owner wants the contract signed this month. Procurement has scheduled the demonstration. The implementation team has started discussing integrations. Then security sends the questionnaire.

At that point, the assessment may still identify important problems. It may also be working against momentum that has already become a business constraint.

There is another problem.

The first substantial evidence often comes from the vendor itself: a questionnaire, policy packet, audit report, architecture diagram, penetration-test summary, or carefully prepared response from the sales and assurance teams.

That evidence matters. It is not the only evidence that matters.

The practical lesson is straightforward:

Third-party risk should begin with passive, evidence-based due diligence before direct outreach, then use vendor-supplied evidence to resolve what outside-in research cannot answer.

VendorRiskAI

Due Diligence Should Start Before the Questionnaire

In July 2026, NIST finalized SP 1326, the Cybersecurity Supply Chain Risk Management Due Diligence Assessment Quick-Start Guide. It defines due diligence as researching and verifying available, pertinent information about a supplier or product so that an acquirer can make informed decisions about new acquisitions or existing systems.

The guide makes an especially useful distinction.

Basic due diligence uses desktop research and publicly available information without contacting the supplier. Enhanced due diligence adds commercial datasets, proprietary sources, and supply-chain illumination tools. NIST recommends choosing the level of effort based on available resources and acquisition criticality, and validating findings against multiple sources when possible.

That creates a useful sequence:

  1. Learn what can be established independently.
  2. Identify what remains uncertain.
  3. Ask the supplier targeted questions.
  4. Validate the answers according to the consequence of being wrong.

The questionnaire becomes more valuable because it is no longer trying to discover everything from a blank page.

Vendor-Supplied Evidence and External Evidence Answer Different Questions

A supplier is usually the best source for information that is not externally observable.

That may include internal governance, access-control design, backup and recovery procedures, secure development practices, personnel controls, incident-response responsibilities, data flows, subcontractor oversight, and evidence from private testing or audits.

Outside-in research answers a different set of questions.

It can help establish:

  • Which legal entity the organization is actually evaluating.
  • Which domains, public services, certificates, applications, repositories, and infrastructure appear related to that entity.
  • Where public-facing operations and important dependencies are located.
  • Whether ownership, leadership, hosting, technology, or product-support conditions have changed.
  • Whether public records identify breaches, sanctions, exclusions, litigation, regulatory action, exposed credentials, obsolete technology, or other conditions relevant to the decision.
  • Which sub-tier providers or shared dependencies may create concentration risk across several suppliers.

Neither view is complete.

A clean external footprint does not prove that internal controls are effective. A strong audit report does not prove that every externally visible asset belongs to the assessed boundary, is currently maintained, or was included in the audit. A questionnaire response may be accurate when submitted and stale six months later. An external observation may be technically correct and still attributed to the wrong subsidiary, legacy domain, shared host, or acquired product.

The goal is not to choose between attestation and observation.

It is to reconcile them.

Start With the Decision, Not the Data

Passive research can produce a large amount of information very quickly. Without a decision boundary, that becomes another collection problem.

Begin by writing down the decision the research must support:

  • Should this supplier enter the shortlist?
  • What diligence is required before contract signature?
  • What conditions should appear in the agreement?
  • Does a proposed acquisition need deeper technical review?
  • Has an existing critical supplier changed enough to require reassessment?
  • Which vendors deserve scarce assessment time first?

Then define the consequence of supplier failure.

The final NIST CSF 2.0 C-SCRM Quick-Start Guide recommends that suppliers be known and prioritized by criticality and that requirements be scaled to the supplier’s importance and the risk presented by the product or service. The updated NIST SP 800-161 Revision 1 likewise treats supply-chain risk as an organization-wide risk-management problem rather than a procurement checklist.

Useful criticality questions include:

  • What sensitive data will the supplier store, process, transmit, or be able to reach?
  • Which production systems, identities, networks, facilities, or business processes will it influence?
  • How quickly could the organization replace the service?
  • What would happen if the supplier became unavailable, untrustworthy, or legally unusable?
  • Which customers, regulators, safety functions, financial processes, or strategic transactions depend on it?

The deeper the dependency, the stronger the evidence requirement should become.

Build the Passive Evidence Record in Six Steps

A passive due diligence layer should produce a defensible record, not a mysterious score.

1. Resolve the identity

Start with the legal name, ownership structure, primary domains, relevant subsidiaries, product names, acquisitions, and known operating locations.

This sounds administrative. It is one of the most important technical controls in the process.

If the assessed entity is ambiguous, every later observation can be misattributed. A certificate, exposed service, breach record, code repository, or hosting relationship may belong to a parent, subsidiary, former brand, customer tenant, reseller, or unrelated organization with a similar name.

Record aliases and relationships explicitly. Do not quietly merge them into one profile.

2. Map the relevant external footprint

Collect only the evidence needed for the decision and allowed by policy, law, and the organization’s rules of engagement.

Depending on scope, that may include public corporate records, regulatory and exclusion lists, company disclosures, breach notices, domain and certificate data, public service metadata, published application information, public repositories, vulnerability and end-of-life information, hosting relationships, and identified supply-chain dependencies.

NIST SP 1326 organizes due diligence into five research categories: foreign ownership, control, or influence; provenance; resilience; foundational cyber practices; and supply-chain tiers. Those categories are broader than an internet scan. They connect technical exposure to ownership, location, operational reliability, product history, and dependency structure.

3. Separate observation, inference, and decision

Every material item should identify what kind of statement it is.

Observation: A public certificate record associates a hostname with a domain. A regulator published an enforcement action. A vendor announced an acquisition. A public repository contains a supported product’s code or documentation.

Inference: The asset may be part of the supplier’s current production environment. The acquisition may change service delivery. The observed version may indicate delayed maintenance. Several vendors may depend on the same provider.

Decision: Require clarification. Expand technical testing. Add a contract condition. Raise the monitoring frequency. Accept the risk. Remove the supplier from consideration.

Treating inference as fact creates false confidence. Treating observation as a decision allows an automated finding to replace accountable judgment.

4. Corroborate, timestamp, and preserve provenance

For each consequential finding, record:

  • The source and collection date.
  • The entity or asset to which it is attributed.
  • The observed fact.
  • The confidence in the attribution.
  • Corroborating or conflicting sources.
  • The age and likely shelf life of the information.
  • The business or technical decision it may affect.
  • The owner and next review date.

NIST SP 1326 specifically recommends validating findings through multiple sources when possible. It also warns that age, recurrence, severity, and current mitigation affect whether historical information remains relevant.

A ten-year-old incident may show organizational history. It may not describe current control performance. A DNS change from yesterday may be current. It may also be routine migration activity with no security significance.

Evidence needs context.

5. Convert findings into targeted supplier requests

The passive record should make the questionnaire shorter and sharper.

Instead of asking, “Do you manage vulnerabilities?” ask:

  • We identified a public service that appears to support this product. Is it inside the service boundary, and how is it maintained?
  • Your documentation names one hosting provider while current external evidence suggests another. What changed, and which subprocessor terms apply?
  • We found a product version with a published end-of-support date. Is that version still used for our proposed service?
  • Your ownership or operating-location data changed during the review period. Does that affect data access, support, resilience, or contractual commitments?
  • Several critical suppliers appear to rely on the same sub-tier provider. What continuity options exist if that provider fails?

These are not accusations.

They are requests to reconcile evidence.

The response can confirm attribution, explain a harmless condition, identify a stale record, disclose a compensating control, or reveal a real gap. Every outcome improves the decision record.

6. Define the refresh triggers before the contract is signed

Third-party risk does not become static after approval.

NIST SP 1326 recommends considering a continuous monitoring process, including when information should be refreshed and how reports will be updated. For banking organizations, the joint Interagency Guidance on Third-Party Relationships similarly describes ongoing monitoring throughout the relationship, scaled to risk and adjusted when the type or level of risk changes.

Useful reassessment triggers include:

  • A merger, acquisition, divestiture, or material ownership change.
  • A new hosting, cloud, identity, payment, data, or support dependency.
  • A material breach, outage, regulatory action, or public allegation.
  • A change in exposed services, certificates, domains, applications, or infrastructure.
  • Product end-of-life, loss of support, or a major technology transition.
  • Expansion into new data, systems, locations, business processes, or customer populations.
  • Repeated failure to explain or remediate a material inconsistency.

Calendar reviews still have value. Event-driven reviews catch change closer to the moment it matters.

Passive Does Not Mean Uncontrolled

An outside-in assessment needs its own governance.

Public availability does not make every collection or use appropriate. The process should define permitted sources, prohibited actions, privacy handling, data retention, evidence classification, analyst access, attribution standards, supplier communication, and escalation paths.

Passive research should not quietly become intrusive testing.

Do not bypass access controls, authenticate without authorization, exploit systems, create load, or probe a supplier beyond the approved rules of engagement. If a finding requires active validation, obtain authorization and move it into a separate assessment plan.

The record can also become sensitive when aggregated. A collection of public facts may reveal relationships, vulnerabilities, acquisition interests, concentration risk, or strategic dependencies that no single source discloses. Protect the resulting analysis according to its consequence, not merely according to the public status of its ingredients.

Measure Decision Quality, Not Finding Volume

A large passive-monitoring feed can look productive while leaving the organization unable to act.

More useful measures include:

  • Percentage of critical suppliers with identity and ownership resolved before direct outreach.
  • Percentage of proposed critical relationships with a passive evidence brief before shortlist or contract approval.
  • Percentage of consequential findings corroborated by more than one source.
  • Percentage of material observations with explicit attribution confidence and evidence age.
  • Time from supplier nomination to an initial decision-ready brief.
  • Percentage of passive findings converted into a targeted question, validation step, contract requirement, monitoring trigger, or documented disposition.
  • Number of critical suppliers sharing the same material sub-tier dependency.
  • Time from a material external change to owner acknowledgement and reassessment.
  • Percentage of unresolved high-consequence assumptions accepted by a named risk owner.

One measure deserves special attention:

How much supplier risk can you explain before you ask the supplier to explain itself?

The objective is not suspicion.

It is preparation.

What Security Leaders Should Do This Week

Choose one proposed or existing supplier that supports a high-consequence business process.

  1. Write the decision. Define whether the work supports shortlisting, contracting, renewal, monitoring, M&A diligence, or escalation.
  2. Set the criticality. Record the data, access, operational dependency, replacement difficulty, and consequence of supplier failure.
  3. Resolve the entity. Confirm the legal name, ownership, domains, subsidiaries, products, and relevant locations.
  4. Build a passive evidence brief. Use approved public and commercial sources to examine provenance, resilience, foundational cyber practices, and material supply-chain relationships.
  5. Label the reasoning. Separate observed fact, analyst inference, unresolved question, and risk decision.
  6. Ask only what the evidence cannot answer. Turn inconsistencies and unknowns into targeted supplier requests and validation steps.
  7. Define the refresh rule. Set calendar and event-driven triggers, a named owner, and a response path for material change.

A questionnaire is useful.

An audit report is useful.

A vendor meeting is useful.

They become more useful when the organization arrives knowing what it has already observed, what it still needs to learn, and which decision the evidence must support.

Do the quiet research first.

Then ask better questions.


Put SilentTiger to Work Before the Questionnaire

MicroSolved, Inc. positions SilentTiger™ as a passive vendor, supply-chain, and external-exposure monitoring capability for due diligence, third-party risk, M&A, and pre-approach research.

MSI can help organizations:

  • Build decision-focused passive due diligence profiles for prospective and existing suppliers.
  • Map externally observable assets, dependencies, ownership, provenance, and change indicators.
  • Corroborate findings across public and authorized commercial sources.
  • Separate observation from inference and translate evidence into targeted supplier questions.
  • Prioritize deeper assessment according to supplier criticality and business consequence.
  • Establish repeatable monitoring triggers for material external change.
  • Support M&A, supply-chain, vendor-risk, and pre-engagement research without treating passive evidence as proof of internal control effectiveness.

To discuss SilentTiger or a passive vendor-risk assessment, contact MicroSolved at info@microsolved.com or +1.614.351.1237.

Relax. We’re on watch.

AI tools were used as a research assistant for this content, but human moderation and writing are also included.

A SilentTiger™ Look At The Logistics Industry

I was recently asked to discuss how attackers view parts of the logistics industry with some folks from a research group. As a part of that, I performed a very quick OSINT check against a handful of randomly chosen logistics firms set around a specific US geographic area. Using our proprietary SilentTiger™ passive assessment platform, we were able to quickly and easily identify some specific patterns. We allowed the tool to only complete the first step of basic foot printing of the companies and analyzed less than 10% of the total data sources that a full run of the platform would access.

 

This quick approach lets us learn about some of the basic threat densities that we know are common to different industries, and gives MSI a rough idea of comparison in terms of security maturity across a given industry. With a large enough data set, very interesting patterns and trends often emerge. All findings below are based on our small geographic sample.

 

In this case, we quickly identified that our sample set was not as mature in their phishing controls as other industries. There were substantially more overall phishing targets easily identified across the board than other industries we’ve sampled (we mined 312 targets in 60 seconds). However, the platform ranks the threats against the identified phishing targets using basic keyword analysis against the mined email addresses, and in this case, the good news is that only 3 “critical risk” target accounts were identified. So, while the engine was able to mine more accounts in a minute than other industries with similar sized samples, the number of critical accounts mined in a minute was quite a bit less than usual. We ranked their maturity as low, because in addition to the number of mined accounts, the platform also found specific histories of this attack vector being exploited, some as recent as within 3 days of the study.

 

The study set also showed issues with poor DNS hygiene to be prevalent across the study group. Leaking internal IP address information and exposure of sensitive information via DNS was common across the data set. Many of the companies in the data set also exposed several dangerous host names that attackers are known to target to the Internet. Overall, 67 sensitive DNS entries were found, which is again significantly higher than other similar industry datasets. When compared against highly regulated industry data sets of similar size, the logistics industry sample shows an 18% increase versus average with regard to poor DNS hygiene. This likely increases the probability of focused targeting against what is commonly viewed as weaker targets – translating to increased risk for the logistics industry.

 

Lastly, the data set also demonstrated the logistics industry to be plagued with the use of plain text protocols. Telnet and FTP exposures were the norm across the data set. Given the known dependence on flat file, EDI and other plain text operations data across the logistics industry, the maturity of controls surrounding these exposures seems to be relatively low. In some cases, anonymous FTP was also in use and exposed operational data (we have notified the companies of the issue) across the Internet. This is a significant problem, and represents a clear and present danger to the operations of these firms (according to the sources we talked with about the issue). We also identified attacker conversations around this issue, and the presence of these targets on attacker lists of compromised hosts or hosts to use for covert data exchange!

 

Obviously, if you are a security person for a logistics firm, these points should be used for a quick review of your own. If you’d like to discuss them or dive deeper into these issues, please don’t hesitate to get in touch with MSI (@microsolved) or give us a call for a free consultation. As always, thanks for reading, and until next time, stay safe out there!

SilentTiger Targeted Threat Intelligence Update

Just a quick update on SilentTiger™, our passive security assessment and intelligence engine. 

We have released a new version of the platform to our internal team, and this new version automatically builds the SilentTiger configuration for our analysts. That means that clients using our SilentTiger offering will no longer have to provide any more information than the list of domain names to engage the process. 

This update also now includes a host inventory mechanism, and a new data point – who runs the IP addresses identified. This is very useful for finding out the cloud providers that a given set of targets are using and makes it much easier to find industry clusters of service providers that could be a risk to the supply chain.

For more information about using SilentTiger to perform ongoing assessments for your organization, your M&A prospects, your supply chain or as a form of industry intelligence, simply get in touch. Clients ranging from global to SMB and across a wide variety of industries are already taking advantage of the capability. Give us 20 minutes, and we’ll be happy to explain!