As Canada strengthens privacy protections and enforcement, organizations must find a way to accelerate AI innovation while maintaining continuous visibility into how customer data is collected, shared, and protected.
Canada’s proposed Bill C-36 is about more than privacy regulation. It reflects a broader challenge facing governments, regulators, and businesses around the world. How do you encourage AI-driven innovation and economic growth while ensuring that privacy remains a protected right for every individual interacting with digital services?
The legislation offers Canada’s latest attempt to answer that question. By strengthening privacy protections, expanding enforcement authority, and introducing additional safeguards for sensitive data, particularly information related to children, Bill C-36 seeks to create the conditions for both innovation and accountability.
The timing is not accidental. Canada recently launched its “AI for All” strategy, an ambitious national initiative designed to accelerate AI adoption, create jobs, increase productivity, and drive long-term economic growth. Government leaders have made it clear that AI will play a central role in Canada’s economic future. At the same time, policymakers recognize that widespread AI adoption cannot occur without public trust. Privacy protections, transparency requirements, and stronger accountability measures are increasingly being viewed as foundational enablers of AI innovation rather than barriers to it.
Why Canada Is Taking Action
Canada’s approach reflects a broader reality facing governments and businesses around the world. AI has the potential to unlock significant economic value, improve productivity, and create entirely new categories of digital experiences. Canada’s AI strategy aims to dramatically increase AI adoption across the economy while creating hundreds of thousands of AI-related jobs in the coming years. Achieving those goals, however, requires organizations to responsibly collect, process, and utilize data at scale.
That creates an inherent tension. The same data that powers intelligent customer experiences, automation, and personalization can also introduce privacy, compliance, and security risks if organizations lose visibility into how information is being collected and shared.
As data becomes more central to digital innovation, regulators are paying closer attention to how that information is collected, shared, and protected. Canada’s proposed reforms recognize that privacy and innovation cannot be treated as competing priorities. Sustainable digital growth depends on trust.
Bill C-36 would strengthen Canada’s privacy framework by recognizing privacy as a fundamental right, expanding consumer control over personal information, strengthening consent requirements, and creating additional protections for sensitive categories of data.
Among the most important aspects of the legislation is its focus on protecting children. Young users often lack the awareness needed to understand how their personal information is collected and used across websites, mobile applications, social platforms, and AI-powered services. As lawmakers continue to examine the impact of digital technologies on younger users, organizations should expect greater scrutiny around how children’s data is collected and protected.
Privacy Enforcement Is Entering a New Era
Bill C-36 is not only about expanding privacy rights. It also introduces a more robust enforcement model.
The legislation proposes the creation of a dedicated enforcement body with the authority to investigate privacy violations and impose significant penalties. Organizations could face fines of up to CAD $10 million for certain violations.
At the same time, Canada’s broader Digital Safety Act reflects a growing commitment to increasing accountability across digital services while addressing online harms and protecting vulnerable users.
Together, these initiatives signal a broader regulatory shift. Privacy compliance is no longer viewed as a documentation exercise. Regulators increasingly expect organizations to demonstrate that privacy controls are working in practice and not simply described in policy documents.
The Digital Experience Layer Is the New Privacy Battleground
For many organizations, the greatest privacy risks are not found in their privacy policies or governance frameworks. They emerge within the digital experiences customers interact with every day.
Modern websites and mobile applications rely on a complex network of analytics tools, advertising pixels, consent technologies, embedded services, AI-powered features, and third-party scripts. These technologies are constantly changing as vendors are updated, new functionality is deployed, and digital experiences evolve.
As a result, many organizations struggle to maintain visibility into what is actually happening across their digital properties.
A consent management platform may be configured correctly but fail under certain conditions. A third-party script may begin collecting information that privacy teams never intended to share. Sensitive customer data may be transmitted to vendors without the knowledge of compliance or security teams.
These issues often occur within the digital experience layer where customer interactions, data collection, and third-party technologies converge.
AI Innovation Requires Continuous Privacy Visibility
Artificial intelligence introduces another layer of complexity.
AI is no longer a future concept. It is rapidly becoming embedded in the products, services, and digital experiences organizations deliver every day. Whether it is an AI-powered chatbot, an intelligent recommendation engine, or even a humanoid robot interacting with the physical world, these systems all rely on data to function effectively.
As part of my own exploration of emerging AI technologies, I have been experimenting with humanoid robotics and the systems that power them. What becomes immediately apparent is that intelligence is only as trustworthy as the data and controls behind it. The more capable these systems become, the more important it is to understand what information they collect, how decisions are made, and where data ultimately flows.
The same principle applies to websites and mobile applications. Organizations are under pressure to move quickly and deliver AI-powered experiences that improve customer engagement and business performance. Yet every new AI-enabled capability introduces additional questions about transparency, consent, data usage, and compliance.
Without continuous visibility into digital environments, organizations risk creating a gap between what they believe is happening and what users actually experience.
This is precisely the challenge many organizations now face. They are being asked to innovate faster, deploy AI-powered capabilities, and create more intelligent digital experiences while simultaneously demonstrating compliance with increasingly stringent privacy requirements. Success depends on achieving both outcomes at the same time. Organizations that treat privacy and innovation as competing priorities will struggle. Organizations that can continuously verify how customer data is collected, shared, and processed can move faster with confidence.
This is where Feroot helps bridge the gap. By providing continuous visibility into the digital experience layer, organizations can accelerate AI adoption and digital innovation while maintaining the privacy controls, consent validation, and compliance oversight required by evolving regulations.
Turning Privacy Into a Competitive Advantage
Canada’s Bill C-36 reflects a broader global reality. Privacy is becoming a foundational expectation of the digital economy, and trust is becoming a competitive advantage.
At Feroot, we believe organizations should not have to choose between innovation and compliance. They should be able to deploy next-generation digital experiences while continuously validating that customer data is being handled responsibly.
As privacy regulations evolve and enforcement becomes more aggressive, organizations need more than policies and periodic audits. They need continuous visibility into the digital experience layer where customer data is actually collected, shared, and processed.
If your organization is evaluating its readiness for evolving privacy requirements, a Privacy and Consent Assessment is a practical place to start. Feroot’s free assessment helps uncover hidden tracking technologies, consent failures, unauthorized data collection, and other privacy risks that may exist across websites and applications.
Request your free Privacy and Consent Assessment and discover what is really happening across your digital experiences before regulators, customers, or bad actors do.
