Data Processing Agreements for SaaS Companies: What Must Be Included
- Delta Law

- Mar 5, 2025
- 4 min read
SaaS companies handle large volumes of customer data every day, often including sensitive or confidential information. As privacy expectations rise and regulators introduce stricter data protection requirements, customers expect clear assurances that their data will be managed responsibly. This is why Data Processing Agreements, often called DPAs, have become a standard part of SaaS contracting.

A strong DPA protects both the vendor and the customer. It outlines how data is collected, used, shared, stored, secured, and deleted. If a SaaS company fails to address these issues properly, it may lose deals, face higher enterprise security audits, or experience legal exposure in the event of a breach. A well-drafted DPA allows the parties to establish trust, meet regulatory requirements, and streamline the contracting process.
Below are the essential components that every SaaS vendor should include in a Data Processing Agreement.
Purpose and Scope of Data Processing
A DPA must describe the purpose of data processing and the categories of information involved. This includes personal data, usage data, billing information, or any other identifiable data the platform collects. Defining the scope is a foundational requirement that helps manage expectations and prevents unintended data uses that could violate privacy laws.
Roles and Responsibilities
A clear description of roles is essential. Most SaaS companies act as data processors, while the customer is the data controller. The agreement should confirm that the customer decides how personal information is used and that the vendor processes the data only according to the customer’s instructions. Defining roles strengthens compliance and gives customers confidence that their data remains under their control.
Security Measures and Controls
Customers increasingly demand clarity regarding how their data is protected. A DPA should outline the vendor’s administrative, technical, and physical security safeguards. These may include encryption, access controls, employee training, password policies, and secure data centres.
If the vendor has certifications such as SOC 2 or ISO 27001, those should be referenced. A detailed security clause not only satisfies customer audits but also reduces the risk of disputes after a security incident.
Subprocessors and Third-Party Vendors
Most SaaS platforms rely on third-party providers such as cloud hosting services, analytics tools, or integrated applications. A DPA should disclose all subprocessors and describe the vendor’s responsibility for ensuring that those subprocessors follow appropriate data protection standards.
Customers typically want a right to be notified when new subprocessors are added. This builds transparency and supports trust in the vendor’s data ecosystem.
Breach Notification and Incident Response
Timely notice of security incidents is essential. A DPA should set out what constitutes a breach, how quickly the vendor must notify the customer, and what information must be included in the notice. It should also describe the vendor’s obligations to investigate, mitigate harm, and cooperate with the customer during the incident response process. Clear breach procedures reduce potential liability and provide structure during high-pressure situations.
Data Retention, Return, and Deletion
Customers expect clarity about how long their data will be retained and what happens when the agreement ends. The DPA should explain how data will be returned or exported and when it will be deleted. These requirements are essential for compliance with privacy laws and internal data governance policies. A strong retention clause also prevents unnecessary storage costs and reduces the vendor’s long-term data liability.
International Data Transfers
If data is stored or accessed outside Canada, the vendor must disclose this. Many enterprise customers require specific commitments regarding cross-border transfers, especially when transferring data to the United States or Europe.
The DPA should explain the safeguards the vendor uses, such as contractual protections, secure hosting arrangements, or recognized international transfer mechanisms. Clear transfer language helps ensure compliance with privacy requirements and reduces customer objections during contract negotiations.
Customer Audit and Assessment Rights
Larger organizations often require audit rights to verify compliance. The DPA should set reasonable parameters for these audits so that the vendor is not overwhelmed with intrusive or duplicative assessments. This may include limiting audits to once per year, restricting access to confidential areas, or offering security summaries in place of full inspections.
Managing audit rights proactively helps maintain operational efficiency while meeting customer expectations.
Liability and Indemnification
Liability provisions in a DPA are critical. Data processing activities carry significant risk, and the agreement should define the extent of each party’s responsibility. SaaS vendors typically cap their liability and exclude indirect losses. Customers may seek indemnification for privacy breaches or violations that arise from the vendor’s failure to follow the agreement.
A balanced liability clause protects the vendor while giving customers confidence that risks are being managed properly.
Why SaaS Vendors Should Not Use Generic DPA Templates
Many templates lack Canadian compliance language, contain outdated privacy obligations, or fail to address customer requirements in enterprise deals. A properly drafted DPA tailored to your platform, your hosting arrangements, and your customer base builds confidence and speeds up contracting with mid-market and enterprise clients.
A strong DPA also reduces the need for repeated negotiations because many customers’ privacy and procurement teams accept structured, detailed privacy agreements with fewer revisions.
If your SaaS company handles customer data, a strong DPA is essential for trust, compliance, and faster enterprise sales cycles.



