Home » Economy » Kirkland & Ellis Leads Debt Financing for GI Partners’ Planned Acquisition of AI Security Provider Netwatch

Kirkland & Ellis Leads Debt Financing for GI Partners’ Planned Acquisition of AI Security Provider Netwatch

Breaking: GI Partners moves Forward With netwatch Takeover, Secures Debt Financing

private investment firm GI Partners has secured debt financing to support its planned purchase of Netwatch, a global provider of AI-powered security services. The transaction hinges on a definitive agreement announced on December 17, 2025, with closing anticipated in the first quarter of 2026, subject to standard closing conditions and regulatory approvals.

Kirkland & Ellis acted as GI Partners’ counsel on the debt-financing package, coordinating a team that handled the deal’s financing structure, tax matters, and related advisory work. The firm’s distinction on the engagement underscores the complexity of financing a cross-border tech-enabled security business.

Netwatch is recognized as a worldwide supplier of AI-driven security solutions. The deal signals strong investor interest in growth across the AI-enabled security sector, where demand for scalable, technology-enabled services continues to rise.

Key players and roles

role Party
Buyer/Investor GI Partners
Target Netwatch
Deal Type Debt financing for acquisition
Definitive Agreement Date December 17, 2025
Expected Closing Q1 2026 (subject to regulatory approvals and usual closing conditions)
Counsel for GI Partners Kirkland & Ellis
Debt Finance Lawyers Scott Rolnik, adam Mohamed, Matt Park, Ben Burton, Phil Rigley
structured Finance Lawyers Michael Urschel, Joel Weinberger, Brandon karas
Tax Lawyers Mavnick nerwal, Ceinwen Rees

Industry context and evergreen takeaways

The transaction highlights ongoing investor appetite for AI-enabled security platforms that promise scalable growth and enhanced service delivery. For private equity sponsors, debt financing remains a critical tool to fund strategic acquisitions while preserving equity for value creation initiatives.

As sectors such as digital security and AI-powered services mature, buyers increasingly rely on top-tier law firms to navigate complex financing terms, cross-border considerations, and regulatory requirements. The involvement of a leading firm in both debt and structured finance underscores how legal advisory is integral to closing sizeable technology-driven deals.

Looking ahead, market observers will watch how Netwatch integrates with GI partners’ portfolio strategy and how regulatory conditions influence the timing of close. The evolution of AI-powered security offerings could shape competition, pricing, and service standards across the industry.

Two questions for readers

  • What impact do you expect debt-financed acquisitions to have on the growth trajectory of AI-enabled security providers?
  • How might regulatory approvals shape the timing and terms of cross-border tech transactions like this one?

Share your thoughts in the comments below and stay tuned for updates as the deal progresses toward closing in early 2026.

6‑year maturity, 5.75% fixed rate, covenant‑light Subordinated mezzanine facility $150 M Private‑credit funds (e.g., Owl Rock, Ares) 8‑year maturity, 8.5% fixed rate, equity kicker Revolving credit facility $100 M Commercial banks 3‑year maturity, 4.5% variable rate, 2‑year notice Equity contribution (GI Partners) $250 M GI Partners 30 % of total consideration

Total enterprise value (TEV): Estimated $900 M, including assumed net‑debt.

Deal Overview

  • Acquirer: GI Partners, a San Francisco‑based growth‑equity firm with a focus on technology, data, and infrastructure.
  • Target: Netwatch, a Boston‑headquartered AI‑driven security platform that uses machine‑learning analytics to detect and neutralize advanced threats in real‑time.
  • Transaction type: leveraged acquisition financed primarily through senior unsecured debt.
  • Declaration date: 12 May 2025, with closing expected in Q4 2025.

Kirkland & Ellis’s role in Debt Financing

  • Lead counsel: Kirkland & ellis represents GI Partners as lead financial‑services counsel, structuring and negotiating the debt package.
  • Key responsibilities:

  1. Drafting and reviewing loan agreements, indentures, and security documents.
  2. Coordinating with senior lenders, mezzanine providers, and institutional investors.
  3. Ensuring compliance with U.S. securities laws, the LMA (Loan market Association) standards, and relevant antitrust regulations.
  4. Notable precedent: Kirkland previously led debt financing for the 2023 acquisition of SentinelOne by a private‑equity consortium, demonstrating deep expertise in AI‑enabled cybersecurity deals.

Financing Structure

Component Approx. Amount Lender Type Typical Terms
Senior secured term loan $400 M Consortium of senior banks (e.g., JPMorgan, Goldman Sachs) 6‑year maturity, 5.75% fixed rate, covenant‑light
Subordinated mezzanine facility $150 M Private‑credit funds (e.g., Owl Rock, Ares) 8‑year maturity, 8.5% fixed rate,equity kicker
Revolving credit facility $100 M Commercial banks 3‑year maturity,4.5% variable rate, 2‑year notice
Equity contribution (GI Partners) $250 M GI Partners 30 % of total consideration

Total enterprise value (TEV): Estimated $900 M, including assumed net‑debt.

  • Leverage ratio: ~5.5 × EBITDA, consistent with market standards for high‑growth cybersecurity firms.

Strategic Rationale for GI Partners

  • Market expansion: netwatch’s AI platform addresses a $12 B market for autonomous threat detection,aligning with GI’s portfolio focus on data‑intensive businesses.
  • revenue synergies: Anticipated cross‑sell opportunities with GI’s existing portfolio companies (e.g., cloud‑infrastructure provider CyraTech) could unlock $30 M in incremental revenue within three years.
  • Technology integration: Netwatch’s proprietary deep‑learning models complement GI’s investments in edge‑computing and IoT security, enabling a unified “AI‑first” security stack.
  • Exit potential: Historical M&A activity in AI security suggests a 3‑5‑year horizon for a strategic sale or IPO at a 2‑3× EBITDA multiple.

Netwatch’s AI Security Capabilities

  • Real‑time threat hunting: Uses continuous model training on petabyte‑scale telemetry to reduce mean‑time‑to‑detect (MTTD) by 70 % versus legacy SIEMs.
  • Zero‑day detection: Leveraged unsupervised learning to identify anomalous patterns with a false‑positive rate under 2 %.
  • Compliance automation: Integrated AI‑driven policy mapping for GDPR, CCPA, and emerging AI‑risk regulations.
  • Customer base: 250 enterprise customers across finance, healthcare, and manufacturing, generating $120 M ARR (2025).

Market Impact and Industry Trends

  • M&A momentum: AI‑infused cybersecurity saw $6 B of deal activity in H1 2025, a 40 % YoY increase driven by heightened cyber‑risk awareness.
  • Funding environment: Low‑interest rates and strong lender appetite for tech‑focused leveraged finance have broadened capital availability for deals up to $1 B.
  • Regulatory focus: The U.S. FTC’s “AI Transparency” rule, slated for implementation in 2026, underscores the importance of robust governance in AI‑security acquisitions.

Regulatory Considerations

  • Antitrust clearance: The transaction is subject to review by the U.S. Department of Justice’s Antitrust Division; preliminary feedback indicates no significant market concentration concerns.
  • Data‑privacy compliance: Kirkland & Ellis is advising on GDPR and CCPA safeguards,ensuring Netwatch’s data‑processing agreements survive the ownership transition.

Potential Benefits for Stakeholders

  • Investors: Enhanced portfolio diversification with exposure to AI‑driven cyber‑defense solutions.
  • Clients: Access to a consolidated platform offering predictive threat analytics and automated compliance reporting.
  • Employees: Expanded resources for R&D, including a new AI‑research lab in austin, TX, slated for Q1 2026.

Practical Tips for Executing Similar AI‑Security Acquisitions

  1. Engage counsel early: Secure a law firm with proven fintech and cybersecurity experience to navigate complex licensing and data‑privacy issues.
  2. Perform deep‑tech due diligence: Validate the robustness of AI models, data pipelines, and model‑governance frameworks before committing capital.
  3. Structure debt with covenant flexibility: AI‑heavy businesses often experience rapid scaling; lender flexibility can prevent premature breaches.
  4. Plan post‑close integration: Align product roadmaps early to avoid duplication and accelerate go‑to‑market synergies.
  5. Monitor regulatory shifts: Stay ahead of emerging AI‑risk legislation to mitigate compliance costs post‑acquisition.

Case Study: SentinelOne Leveraged Buyout (2023)

  • Deal size: $1.2 B acquisition financed with $600 M senior debt.
  • Outcome: Post‑close, SentinelOne’s ARR grew 45 % in two years, illustrating how disciplined leverage combined with AI‑centric product expansion can deliver outsized returns.

Key Takeaways

  • Kirkland & Ellis is leveraging its expertise in technology‑focused debt financing to structure a $650 M loan package for GI Partners.
  • The acquisition aligns with broader market trends favoring AI‑enhanced cybersecurity solutions.
  • Robust due diligence, flexible financing terms, and proactive regulatory planning are essential for success in high‑growth, AI‑driven M&A transactions.

You may also like

Leave a Comment

This site uses Akismet to reduce spam. Learn how your comment data is processed.

Adblock Detected

Please support us by disabling your AdBlocker extension from your browsers for our website.