Diligence on what the target's external surface actually looks like.
Cyber due diligence on M&A targets typically runs on questionnaires the target fills out and a point-in-time external scan. Mergers and Acquisitions Due Diligence runs on continuous external observation: what the target's posture is now, what it was three months ago, and what direction it's heading.
Observational diligence, not self-reported.
Corporate-development teams, deal-team CISOs, and M&A advisors run this workflow. The question they answer: what does the target's external posture actually look like, and what risk is the deal inheriting? Pre-Deepinfo, the answer comes from the target's questionnaire responses plus a one-shot scan during the diligence window. Post-Deepinfo, the answer comes from continuous external observation that started before the deal team engaged.
Three diligence dimensions run on the platform: surface discovery (what assets does the target actually have), risk scoring (what's the target's posture against industry baseline), and historical trajectory (is the target's posture improving or degrading over time). The historical view is the diligence-defining capability: questionnaires can't deliver it.
Outcomes: diligence closes faster because evidence is already collected; price negotiations have observational data on hidden infrastructure or undocumented exposure; post-close integration starts with a complete inventory rather than constructing one.
Surface, score, and trajectory.
Smart Asset Discovery surfaces the target's real inventory. Comprehensive Risk Detection classifies findings against frameworks. Complete Risk Scoring weights real-world exploitation. Historical scoring shows posture trajectory.
Smart Asset Discovery on the target.
Surfaces inherited subsidiaries, M&A-acquired infrastructure, shadow IT, and forgotten subdomains. The diligence-window inventory is rarely complete; discovery surfaces what the target hasn't documented.
Comprehensive Risk Detection.
Classifies findings across configuration, exposure, vulnerability, certificate hygiene, DNS hygiene. Mapped to OWASP, PCI DSS 4.0, HIPAA, and other frameworks for diligence-document use.
Risk scoring with industry baseline.
Per-asset and per-domain scores on a unified scale. Industry baseline comparison shows how the target ranks against sector peers.
Historical trajectory.
Score timeline shows posture trajectory before the deal team engaged. Continuous evidence, not point-in-time snapshot.
Customers running diligence at deal scale.
An industrial conglomerate
Group-level visibility across 30+ subsidiary brands with M&A-inheritance discovery.
Read the storyAn international manufacturing group
Multi-facility surface coverage with M&A-inheritance integration through Smart Asset Discovery.
Read the storySubsidiary oversight
Continuously monitor every subsidiary, regional brand, and acquired entity as a separate portfolio.
Read the use case“Cyber due diligence on M&A targets used to be a point-in-time scan plus a questionnaire. Continuous external observation gave us a true posture trend during diligence and through deal close.”
Related use cases.
Discover every internet-facing asset, continuously.
Most security teams know about 60-80% of their organization's external attack surface.
See use case USE CASEQuantified external risk, scored consistently.
Risk scores are useful when they reflect real-world exploitation, not theoretical severity, and when the math is consistent across the organization and its third parties.
See use case USE CASEGroup-level visibility without subsidiary tooling reorganization.
Group CISOs need consolidated visibility across subsidiary brands without forcing each subsidiary to abandon its own tooling.
See use caseSee your target's real external posture before closing.
Book a demo. We'll walk through the diligence workflow with a target domain you bring.