How AI adoption and evolving regulations are reshaping SaaS supply chain securit

As organisations accelerate their use of SaaS platforms and AI-driven services, the security of the software supply chain is becoming harder to define and control.

 

Modern SaaS environments are no longer standalone applications. They are interconnected ecosystems built on third-party code, APIs, automation and increasingly autonomous AI components. While this model enables speed and scale, it also creates new pathways for risk to spread across systems.

 

At the same time, regulatory expectations are rising. Governments and regulators are placing greater emphasis on software supply chain transparency, secure development practices and accountability for AI systems.

 

In the EU, emerging AI regulation is increasing scrutiny of how AI is designed, deployed and governed, while in the US and UK there is growing focus on software integrity and third-party risk management. These developments are pushing organisations to move beyond static compliance exercises and adopt continuous security oversight across their SaaS estates.

 

The critical SaaS supply chain risk categories

 

One of the most persistent challenges is exposure to third-party code and unauthorised SaaS applications. Many organisations lack full visibility into the tools, libraries and integrations operating inside their environments. These hidden dependencies can introduce vulnerabilities and excessive permissions that attackers are quick to exploit.

OAuth tokens and API access have also become prime targets. Compromised tokens can provide attackers with legitimate access to SaaS platforms without triggering traditional security controls. Because SaaS applications rely heavily on trust between services, a single exposed token can enable lateral movement across multiple systems.

 

The emergence of agentic AI adds another layer of complexity. AI-driven tools and autonomous agents can introduce new risks through misconfigured permissions, opaque decision-making and automated actions that bypass established controls. Without clear governance over how these systems operate and interact with data, organisations risk losing visibility over critical security boundaries.

 

Reducing SaaS risk through visibility and governance

 

Managing SaaS supply chain risk requires a shift from periodic assessments to continuous assurance. Traditional vendor risk questionnaires provide limited insight into how applications behave in real environments. More effective approaches combine ongoing vendor evaluation with technical controls that monitor configurations, permissions and integrations in real time.

 

SaaS Security Posture Management tools play a growing role by identifying over-privileged accounts, risky OAuth connections and unauthorised applications before they can be abused. These tools help security teams regain visibility across complex SaaS environments and respond quickly to emerging threats.

 

Strong governance is equally important. Zero-trust principles, least-privilege access and continuous verification reduce the impact of compromised accounts or applications. Regulatory pressure is also encouraging greater transparency through mechanisms such as software bills of materials, which improve traceability and accountability across the supply chain.

 

As AI adoption and SaaS dependence continue to grow, organisations that fail to adapt their security models will struggle to maintain resilience. Effective SaaS supply chain security now depends on visibility, governance and the ability to manage risk as a constantly evolving process rather than a one-time exercise.

 

This topic will be explored in depth at teiss London 2026 — join the discussion here: www.teiss.co.uk/teisslondon2026-agenda/is-your-cyber-security-approach-leaving-neurodiverse-colleagues-behind_