Source Code Escrow

In B2B software environments, trust is built over time through reliability, transparency, and continuity. While security certifications play an important role in demonstrating compliance and governance, they represent only one dimension of software risk management. For software developers, particularly those delivering mission critical platforms, long-term trust depends on how well operational, vendor, and lifecycle risks […]

AI Vendor Risk: Why Enterprises Can’t Afford Software Disruption AI and emerging technologies are central to modern enterprise operations, powering decision-making, automation, and data-driven insights. However, the increasing reliance on third-party AI software creates a critical vulnerability: vendor failure. When an AI software vendor goes out of business, enterprises risk operational disruption, regulatory non-compliance, and

AI Vendor Risk: Why Enterprises Can’t Afford Software Disruption AI and emerging technologies are central to modern enterprise operations, powering decision-making, automation, and data-driven insights. However, the increasing reliance on third-party AI software creates a critical vulnerability: vendor failure. When an AI software vendor goes out of business, enterprises risk operational disruption, regulatory non-compliance, and

As businesses become increasingly dependent on software, SaaS platforms, and proprietary technology, the risks associated with vendor failure, insolvency, or product discontinuation have grown. To manage these risks, companies worldwide rely on software escrow and SaaS escrow agreements administered by independent escrow agents. In global technology transactions, many parties, regardless of headquarters, choose a U.S. based technology

In the early stages of artificial intelligence development, startups face heightened technical and contractual scrutiny from enterprise customers. With accelerated innovation cycles and deep integration dependencies, software developers must balance creativity with risk mitigation. A critical, yet often overlooked, element of a robust enterprise readiness strategy is software escrow. By establishing a software escrow arrangement

Enterprise organizations depend on third-party software to operate, scale, and innovate. Core platforms support revenue generation, customer engagement, compliance, and operational efficiency. Despite this reliance, many enterprises underestimate one of the most disruptive risks in the technology supply chain: vendor bankruptcy. When a software provider becomes insolvent, enterprises may suddenly lose access to business critical

Artificial intelligence is now embedded in core enterprise operations, from decision automation to proprietary model development. While AI delivers measurable efficiency and competitive advantage, it also introduces new categories of vendor risk that traditional procurement and legal frameworks were not designed to address. For enterprise buyers, AI vendor due diligence must go beyond standard financial

What Is a Software Escrow Agreement? A software escrow agreement is a contractual arrangement in which a neutral third party (the escrow agent) securely holds a developer’s source code, documentation, and other critical assets. The materials are only released to the software licensee (the Beneficiary) if predefined conditions are met—such as bankruptcy, failure to support,

In modern business, technology is no longer just a supporting function—it is the very infrastructure on which organizations depend. From financial services and energy systems to healthcare platforms and SaaS applications, mission-critical operations rely on software developed and maintained by third-party vendors. But what happens if that vendor fails—whether through bankruptcy, acquisition, lack of support,

Download the Whitepaper Artificial Intelligence (AI) is reshaping industries at an unprecedented pace. From financial forecasting to supply chain automation and personalized medicine, enterprises increasingly rely on AI applications for business-critical functions. However, the adoption of AI brings with it unique risks: what happens if the AI vendor ceases operations, loses critical data, or fails