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As organisations across the globe continue to adopt Generative AI and cloud technologies, regulators are updating their guidance in order to adapt to the new operational, legal, and data risks that come with these technologies. Recent frameworks place a clear focus on factors such as vendor due diligence, data governance, and making sure contracts include the right protections when working with third‑party AI providers. However, there’s still a major gap.
Although most of these guidelines address the prevention of problems, they often overlook contingency planning in the event of supplier failure, service disruption, or loss of access. This is where Software Escrow comes into the picture as a critical risk mitigation tool.
By pairing AI governance with solid contingency plans and robust fallback mechanisms, organisations can move beyond simply managing risk and start building true operational resilience.
This SES Secure blog will explore how modern AI technologies and the risks surrounding them can be bridged through practical safeguards, helping organisations stay secure, compliant, and resilient as they innovate.
The Rise of AI Governance and Third‑Party Dependency
In the current day, AI technology relies heavily on third‑party platforms. Whether it’s APIs, SaaS tools, or built‑in AI features, organisations are increasingly relying on external providers to deliver business‑critical capabilities.
As a result, modern AI governance frameworks now place strong focus on:
- Vendor due diligence and risk assessment.
- Data handling, privacy, and residency controls.
- Contractual safeguards and usage restrictions.
- Ongoing monitoring and performance review.
These guidelines play a crucial role in helping organisations to make informed choices and use AI responsibly. With this being said, they all rest on the assumption that the supplier will remain stable and continue operating without interruption. However, the reality is that any provider, no matter their size, reputation, or track record, can experience unexpected disruption at some point.
The Missing Layer: What Happens When Things Go Wrong
Even the strongest governance framework can’t remove supplier risk entirely. There are still moments where things slip through the cracks, leading to situations most organisations aren’t fully prepared for.
Examples of such situations include:
- A provider suddenly going bankrupt or being bought out.
- A service being shut down or fundamentally changed.
- Access being limited because of a dispute or regulatory intervention.
- Data becoming unavailable, corrupted, or locked away.
Whilst these are all different scenarios, they all leave organisations facing the same core issue: the reality that they’re dependent on something they don’t control.
AI governance frameworks do a good job of managing risk upfront, but they rarely address what happens after that dependency breaks. And that’s the gap — the missing layer — where continuity planning should live.
Software Escrow: Moving from Passive Protection to Active Resilience
Software Escrow has come a long way from its roots in traditional on‑premise systems. Today, it plays a crucial role in a range of modern environments, from SaaS platforms to AI‑driven solutions. The implementation of Software Escrow provides organisations with a practical way to safeguard the technology they rely on.
At its core, Software Escrow is about making sure that:
- Critical assets like source code, data, and configuration files are securely held by an independent third party Escrow provider, such as SES Secure.
- Those assets stay up-to-date and usable through ongoing updates, validation, and testing exercises.
- They can only be released under clearly defined conditions so operations can continue without disruption. These conditions are known as release conditions or release triggers.
When AI enters the picture, the scope naturally expands. Escrow may also include:
- Model configurations, weights, and dependencies.
- Training data (where appropriate and legally permitted).
- Deployment environments and infrastructure definitions.
- The documentation needed to run, maintain, or transition the system.
It’s now evident that Software Escrow transforms risk management from a passive exercise into an active continuity strategy.
Aligning Escrow with AI Governance Principles
It’s key to remember that Software Escrow doesn’t replace AI governance, Instead, it reinforces it. Governance frameworks focus on ensuring that an AI supplier is trustworthy, compliant, and operationally sound. To accompany this, Escrow steps in to strengthen those foundations by providing a practical safety net when things don’t go as planned.
Good AI governance typically involves assessing vendor maturity, understanding how data is controlled, embedding the right contractual protections, managing risk, and building operational resilience. Escrow contributes to each of these areas in a very tangible way. It validates that a supplier is willing and able to support continuity, ensures that critical data and configurations can be accessed under clearly defined conditions, and embeds enforceable continuity mechanisms directly into the contract.
Additionally, Escrow also offers a tested fallback option that supports recovery rather than relying solely on prevention.
To put this simply, governance explores whether a supplier is safe to rely on, while Software Escrow dictates what happens if that supplier suddenly becomes unavailable. Collectively, they turn resilience from a theoretical principle into something you can actually act on.
Ensuring Continuity in an Uncertain AI Landscape
In AI governance, we often talk about “trust but verify,” but modern AI ecosystems demand something more: the ability to prepare. Escrow provides that extra layer of resilience. Instead of depending solely on contractual promises or whatever technical safeguards a supplier has in place, organisations gain an independent safety net that protects them when things change. In the AI space, things change very fast.
Technologies evolve, vendors pivot, business models shift, and long‑term access to tools, models, or even your own data can become uncertain. Software Escrow helps organisations stay in control by ensuring they can continue operating even if a supplier becomes unavailable or a platform suddenly changes direction.
This matters across a wide range of real‑world scenarios. For example:
- AI‑powered SaaS platforms can be safeguarded so critical workflows don’t grind to a halt if access is lost.
- Legal and regulated industries can maintain compliance by guaranteeing ongoing access to client data and decision‑making systems.
- Enterprises relying on AI‑driven integrations can protect themselves from disruptions deep inside their operational pipelines.
- Teams building custom AI solutions can secure their bespoke models, logic, and supporting infrastructure so they’re never left exposed.
Looking Into the Future
As organisations shift toward AI‑driven, third‑party‑dependent systems, the kind of preparedness achieved by Software Escrow becomes essential. Governance alone can’t guarantee resilience. To stay operational when suppliers change direction, technologies evolve, or access becomes uncertain, organisations need more than prevention. They need a plan for what happens next. Software Escrow provides that missing layer of protection. Ultimately, it doesn’t replace trust, it simply acknowledges its limits and ensures continuity when it counts the most.