Everything you need to know about
cybersecurity due diligence

Cybersecurity due diligence is the process of evaluating a target company’s security posture during a transaction to identify risks that could affect valuation, integration, or ongoing operations. This includes reviewing policies, infrastructure, access controls, incident history, and external exposure.

Unlike general security assessments, diligence is time-bound and decision-driven. The objective is not to fully remediate risk, but to understand what risk exists, how material it is, and what it will cost to address.

CyberDD structures this process by aggregating multiple sources of security evidence into a single, transaction-level risk model.

Cyber diligence typically evaluates risk across several domains:

• Identity and access management, including privileged access and MFA enforcement
• Data protection, including encryption and data handling practices
• Network and infrastructure security across cloud and on-prem environments
• Application and product security, including secure development practices
• Incident response readiness and breach history
• Third-party and supply chain risk
• External attack surface and exposed assets

CyberDD reflects this structure through questionnaires, document analysis, cloud scanning, and external reconnaissance, which together feed a consolidated risk score.

Cybersecurity risk is typically quantified through a combination of control maturity, identified vulnerabilities, and potential business impact. CyberDD formalizes this by weighting inputs across multiple sources:

• Questionnaires reflecting control maturity
• Cloud scan findings indicating configuration risk
• External exposure and breach intelligence
• Documentation gaps and certification status
• Third-party security tool data (via integrations)

CyberDD is designed around least-privilege access. When integrations are used:

• Credentials are read-only and scoped to required services
• Credentials are encrypted and automatically expire after use
• No system configurations can be modified
• Access is isolated per transaction

Due diligence is the structured process of evaluating a target company before completing a transaction. It is designed to identify risks, validate assumptions, and inform valuation and deal structure. Core workstreams include financial diligence (Quality of Earnings), legal, tax, commercial, and IT/technology diligence.

Cybersecurity diligence is increasingly treated as a parallel workstream as digital risk becomes material to enterprise value.

Cybersecurity failures can lead to regulatory penalties (GDPR, CCPA, SEC disclosure requirements), operational disruption, data breaches and liability exposure, reputational damage, and undisclosed incidents requiring post-close remediation.

These risks translate directly into financial impact. Recent SEC cybersecurity disclosure rules have further elevated the importance of understanding a target’s security posture.

Diligence typically occurs within a compressed window, often 90 to 150 days. Multiple workstreams run in parallel, and findings must be synthesized quickly to support investment decisions. CyberDD addresses this by consolidating inputs into a structured model within the active deal timeline.

Consulting engagements are time-intensive, dependent on individual methodologies, difficult to standardize across transactions, and often delivered as static PDF reports. CyberDD replaces much of this manual synthesis with a repeatable, system-driven approach while still allowing for expert interpretation of results.

Buyers use CyberDD to answer: what cybersecurity risk is being acquired? The platform provides structured risk scoring across domains, visibility into control gaps and vulnerabilities, estimates of remediation and integration effort, comparative benchmarks across deals, and board-ready executive reports.

Sellers use CyberDD to control the narrative and accelerate the deal. The platform allows sellers to review and approve all findings before buyers see them, remediate issues proactively, demonstrate security maturity to justify valuation, streamline evidence collection, and maintain a clear audit trail of disclosures.

Seller-controlled disclosure is a core design principle. Until a seller clicks “Approve for Buyer,” buyers see only placeholder indicators—no actual security data. If data is refreshed from integrations, the approval status automatically resets to prevent accidental disclosure of new findings.

CyberDD implements multi-layered isolation:

• Application-Layer RBAC — Role-based access control with buyer/seller separation per deal
• Database-Layer Isolation — PostgreSQL Row-Level Security (RLS) policies provide additional protection
• Per-Deal Access Control — Users must be explicitly added to each deal by an administrator

Even if application-layer authorization were bypassed, RLS policies prevent cross-tenant data access.

CyberDD maintains comprehensive audit trails:

• Authentication — Login attempts, MFA challenges, password changes, session activity
• Data Access — Document views, report generation, finding access, exports
• Data Modifications — All CRUD operations with previous and new state
• Approval Actions — Seller approval/revocation with timestamp, user identity, and IP
• Administrative — User invitations, permission changes, integration configs

Yes. Sellers can request complete purge of all data including evidence documents, questionnaire responses, risk findings, scan results, AI outputs, and integration configurations. Both parties receive a confirmation report with a cryptographic verification hash.

• Document analysis and risk extraction from uploaded security policies, audit reports, and compliance documents
• Automated risk scoring and categorization of security findings
• Gap analysis against compliance frameworks (SOC 2, ISO 27001, NIST CSF)
• Natural language summarization for executive reporting
• Pattern recognition across multiple data sources

Never. AI requests are completely isolated per customer. Your data is never mixed with, compared to, or visible alongside any other customer’s data. Each AI analysis operation is logged in the audit system, and all processing occurs within CyberDD’s secure AWS infrastructure.

No. CyberDD maintains enterprise agreements with AI providers that include contractual prohibition on using customer data for model training, zero data retention, SOC 2 Type II certified AI infrastructure, and data processing agreements covering GDPR and CCPA requirements.

CyberDD accounts are created by invitation. You will receive an email from a deal administrator or your organization administrator. Click the invitation link to set up your password and configure multi-factor authentication.

Navigate to the Dashboard and click “New Deal.” Enter the deal name and select your organization’s role (buyer or seller). Invite participants from both sides by email. Configure evidence collection settings including questionnaires, integrations, and document requests.

All integrations use read-only API access. CyberDD can only pull data from connected tools—it cannot modify, delete, or alter anything in seller systems. All credentials are encrypted at rest and scoped to minimum required permissions.

CyberDD performs security configuration assessments across AWS, Microsoft Azure, and Google Cloud Platform. Cloud scans evaluate misconfigurations, overly permissive access, encryption settings, and compliance with security best practices.