I think the collaboration must be include the review of the security team about the practices will take to integrate with data sources.

To shield data security across platforms with IT groups, take on a "zero-trust" engineering joined with decentralized information controls. Rather than depending on customary organization limits, each solicitation, whether interior or outer should be confirmed and checked. Use encryption at each layer, from information travel to capacity. Moreover, carry out job based admittance controls (RBAC) and information division, so delicate data is simply open to approved work force. At long last, guarantee constant checking involving man intelligence driven peculiarity identification to get abnormalities progressively, improving proactive danger across platforms. This makes security versatility without compromising coordinated effort readiness.

Ensure data encryption in transit and at rest, implement strict access controls, and use multi-factor authentication. Conduct regular security audits, segment data based on sensitivity, and use secure collaboration tools. Train employees on best practices, maintain an incident response plan, ensure compliance with regulations, and continuously monitor and log data access and activities to detect and respond to threats promptly.

Platform Integration Security: Ensure secure API integration and data transfer protocols between platforms used by different teams. Collaborating across cloud platforms or software services should involve secure API gateways, which validate the data being transferred and ensure it conforms to security standards. Data Governance Policies: Develop and enforce clear data governance policies, including how data is classified, stored, and shared across platforms. These policies should outline the handling of sensitive data, the usage of external collaboration tools, and the security protocols that each team must follow to ensure compliance with industry regulations and internal guidelines.