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Sector Insights

Private Credit and Cybersecurity: Due Diligence for Direct Lending

Simone Nogara

Simone Nogara

February 2025 · 8 min read

Private credit has emerged as a dominant force in European mid-market financing, yet cybersecurity due diligence in direct lending remains markedly less mature than in equity transactions. Lenders face a structural challenge: they bear significant downside risk from cyber incidents — borrower default, covenant breach, collateral impairment — while typically having less visibility into borrower operations than equity investors. As cyber risk increasingly drives credit events, private credit funds that integrate cybersecurity into their underwriting process gain a meaningful information advantage.

The Private Credit Exposure Problem

Unlike equity investors who participate in operational governance, direct lenders typically have limited ongoing visibility into a borrower's operational risk posture. Information rights in credit agreements are designed around financial reporting — income statements, balance sheets, compliance certificates — rather than operational resilience metrics. This creates an asymmetry: the lender is exposed to cyber-driven business interruption, regulatory penalties, and reputational damage, but may learn of a deteriorating security posture only after an incident has already impaired the borrower's ability to service debt.

The financial consequences of cyber incidents for borrowers are precisely the outcomes that concern lenders most. Business interruption reduces revenue and cash flow, potentially triggering debt service coverage ratio breaches. Regulatory penalties under GDPR[1] or NIS2[2] create unplanned liabilities. Customer attrition erodes the recurring revenue streams that underpin many credit structures. In leveraged lending, where borrowers operate with limited financial cushion, even moderate incidents can cascade into covenant violations or outright default.

Adapting Due Diligence to Compressed Timelines

Direct lending transactions often move on compressed timelines — four to six weeks from term sheet to close is common, and competitive processes may compress this further. Traditional cybersecurity due diligence approaches, designed for PE transactions with three to four months of exclusivity, must be adapted without sacrificing analytical rigour.

A risk-calibrated approach prioritises assessment scope based on the borrower's industry, technology dependency, and data sensitivity. For a software company processing customer data, technical assessment of application security and data protection is essential. For an industrial manufacturer, operational technology security and business continuity planning take precedence. This tiered assessment model allows meaningful cyber diligence to be completed within two to three weeks while focusing resources on the risk factors most likely to affect credit performance.

External intelligence gathering — dark web monitoring, breach history analysis, domain security posture, and public vulnerability scanning — can be conducted in parallel with other workstreams and requires no borrower cooperation. These non-invasive techniques often surface material findings that inform the scope and urgency of deeper technical assessment.

Risk Frameworks for Credit Decisions

Translating cybersecurity findings into credit-relevant risk assessments requires a framework that bridges technical observations and financial impact. Effective frameworks map identified vulnerabilities and control gaps to specific credit risk scenarios: What is the probability and financial impact of a ransomware event given the borrower's current backup and recovery posture? How would a data breach notification obligation affect customer retention in this specific market?

We recommend structuring the assessment around four risk categories. Operational resilience risk evaluates the borrower's ability to maintain revenue-generating operations during and after an incident. Regulatory and compliance risk assesses exposure to penalties, enforcement actions, and mandatory remediation costs. Counterparty and supply chain risk examines dependencies on third-party technology and service providers whose failures could cascade to the borrower. Data and intellectual property risk quantifies the impact of unauthorised access to or loss of the borrower's most valuable information assets.

Each category produces a risk rating that directly informs credit structuring: pricing, covenant design, reserve requirements, and insurance mandates. This approach ensures that cyber diligence findings are not merely noted in a report but are actively integrated into the credit decision.

Borrower Assessment: What Lenders Should Examine

The minimum borrower assessment for direct lending should cover five domains. First, governance and leadership: does the borrower have a designated security function, even if outsourced, with clear reporting lines to senior management? Borrowers without any security leadership are materially more likely to suffer preventable incidents.

Second, incident history and response capability: has the borrower experienced prior incidents, how were they handled, and is there a tested response plan? Third, technical hygiene: are fundamental controls in place — multi-factor authentication, endpoint protection, network segmentation, and patch management? These basics account for the prevention of the vast majority of successful attacks.

Fourth, business continuity and disaster recovery: can the borrower restore critical operations within timeframes consistent with continued debt service? Fifth, insurance coverage: does the borrower maintain cyber insurance with limits proportionate to its risk profile, and are policy conditions being met? An uninsured or underinsured borrower transfers residual cyber risk directly to the lender through increased probability of default.

Covenant Considerations and Ongoing Monitoring

Credit agreements can and should incorporate cybersecurity covenants that protect the lender's interests without imposing unreasonable operational burdens on the borrower. Affirmative covenants might include maintaining cyber insurance above specified thresholds, conducting annual penetration testing, maintaining incident response plans, and promptly notifying the lender of material cyber incidents.

Negative covenants could restrict the borrower from materially reducing security expenditure below baseline levels, discontinuing key security controls identified during diligence, or migrating critical systems without maintaining equivalent security standards. Information covenants should require periodic reporting on security posture, incident history, and insurance coverage — ideally integrated into the existing compliance certificate process to minimise administrative burden.

For portfolio monitoring, continuous external security scoring provides a cost-effective mechanism for tracking borrower posture between reporting periods. Significant deterioration in external security ratings should trigger enhanced monitoring or direct engagement with borrower management. This approach gives lenders an early warning capability that purely financial monitoring cannot provide, since security posture degradation often precedes the financial symptoms of a cyber event by months or years.

Structuring for Resilience

Ultimately, private credit funds that embed cybersecurity into their underwriting and monitoring processes are not merely managing risk — they are making better credit decisions. A borrower with mature security practices and tested resilience capabilities is a better credit than an otherwise identical borrower without them, and the pricing and structure should reflect this difference.

As the European regulatory landscape continues to expand the obligations and potential penalties associated with cyber incidents, the credit relevance of cybersecurity will only increase. Funds that develop institutional capability in this area now — through internal expertise, advisory partnerships, or both — will be better positioned to underwrite accurately, structure protectively, and manage portfolio risk proactively in the years ahead.

References

  1. Regulation (EU) 2016/679 (General Data Protection Regulation). EUR-Lex
  2. Directive (EU) 2022/2555 (NIS2 Directive). EUR-Lex

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