From integration pain to partnership gain: How collaboration strengthens cybersecurity

There are several data-related barriers that can limit collaboration gains. Unsurprisingly, and with good reason, fear of inadvertently compromising systems stands at the top of the list, especially when external partners are involved.

After all, in the first half of 2025 alone, over 345 million private records were exposed as a result of over 8,000 reported data breaches. In business activities, personal data is far from the only information at risk, with proprietary information also likely to be compromised.

To mitigate the risk, potential partners with different approaches to data security must find alignment before collaborating where potentially sensitive information will be shared.

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.

Research from Drexel University’s LeBow College of Business found that 67% of organizations don’t fully trust the data their organization uses, something that would clearly hinder data trust in collaborations and mergers.

To overcome these barriers, CIOs must work with other stakeholders to develop standardized schemas, validation rules, and data ingestion guidelines to create trust in data.

“Breaking down internal silos is critical to worthwhile data sharing, particularly after a merger or acquisition,” says D Sangeeta, founder and CEO of management consultancy Gotara, regarding how stakeholder alignment is essential. “Frameworks that ensure the right data flows to the right people, while also accounting for cybersecurity needs, are crucial to keep the organization running smoothly. Centralized data platforms further help by creating a more unified system that streamlines communication and is easier for data teams to manage.”

So while cybersecurity should be a top priority in data-driven collaborations, partners must also ensure their frameworks ultimately make it easier for everyone involved to get access to the information they need to deliver value to the partnership.

Why data-driven collaboration matters

When collaborators leverage data in specific cybersecurity work, they unlock several valuable benefits, especially since no organization has complete insight into every possible threat. A shared, data-driven cybersecurity framework can offer both sides a better understanding of existing and emerging threats that could undermine one or both collaborators.

Data-driven collaboration also enables partners to become more proactive in their cybersecurity posture. Coordinated data can give business partners insights into where there’s greater exposure for a cyberattack, allowing partners to work together with data-backed guidance on how to better prepare. When combined with using AI for deeper and faster data analysis, cybersecurity teams can be better equipped to surface and respond to threats.

The future of secure collaboration

Two leading organizations taking a more collaborative path to security are IBM and Securitas. The giants, both with a lot at stake to get security right, spearheaded the launch of the world’s first global Vested security agreement.

The Vested model — an innovative approach based on research from the University of Tennessee — focuses on shared goals and outcomes rather than traditional transactional buyer and seller agreements.

Both companies agreed on a specific set of KPIs they could use to measure the health of the partnership and keep their security goals on track, allowing them to continue to adapt cybersecurity initiatives as needs and threats evolve.

“You have to build, maintain and exercise the right partnerships with business units and shared services across the enterprise so continuity plans identify the issue quickly, deploy appropriate mitigations, and ultimately restore client and business services as quickly as possible,” says Royce Curtin, IBM’s former VP of corporate security.

Getting security right for both internal collaborations and external partnerships will continue to develop as the AI threat landscape changes. So whether you’re involved in a cross-departmental collaboration, an outsourcing effort, or a full-on merger, cybersecurity must be viewed as a team sport. By building a strong collaborative framework, establishing a culture around it, and working with trusted partners, leaders have a better chance of keeping their organizations a step ahead.