One way to do this is first agree on a clear governance framework and solutions that’ll facilitate data-driven collaboration, while still ensuring all security compliance needs are met. These frameworks should clearly establish what data can be shared, and with whom, as well as set guidelines for storage and management. Clear accountability, including paths for escalation when security concerns arise, help build trust and transparency in the partnership.
Getting on the same page is critical, even more so when partners may have different existing cybersecurity and data governance frameworks. For example, with some agentic AI tools creating new verification challenges, some partners may not want to have any AI agent involvement in data sharing.
Ensuring data delivers value
Cybersecurity lapses aren’t the only potential barrier to data-driven collaboration. Leaders must also be mindful of the data itself. Issues with data quality and consistency are a big concern as different organizations, and even departments within the same company, can have widely varying data formatting and collection protocols, which affect reliability and timeliness.
