Are you Ready for Major Privacy Legislation Changes?

The Canadian federal government is getting close to passing updated privacy legislation that will impact how you govern the personal information you are storing as well as address the impacts of artificial intelligence (AI).

These changes began more than a year ago and are expected to pass this year or in early 2025, including new privacy legislation that will make significant changes to the Personal Information Protection and Electronic Documents Act (PIPEDA).

Three Key Acts

Bill C-27 lays out a new statutory framework governing personal information practices in the private sector, and includes three new statutes:

Consumer Privacy Protection Act (CPPA): If Bill C-27 passes, this act would repeal and replace the private sector personal information protection framework in PIPEDA. This new privacy legislation would essentially replace PIPEDA with new requirements governing the protection of personal information.
Personal Information and Data Protection Tribunal Act: Under this act, an administrative tribunal would be established to review certain decisions made by the Privacy Commissioner of Canada and impose penalties for contraventions of the CPPA, which is a substantially enhanced enforcement regime when compared with that of PIPEDA.
Artificial Intelligence and Data Act (AIDA): This act would create a risk-based approach to regulating trade and commerce in AI systems.

CPPA would require that organizations implement a privacy management program that includes policies, practices, and procedures to ensure compliance. The act reinforces express consent for the organization to process personal information, although it does outline exceptions under certain circumstances.

Severe Penalties for Non-Compliance

The fines for not complying with CPPA are hefty – as much as $25 million and the amount corresponding to 5% of gross global revenue for the preceding fiscal year. Law firm Osler advises that organizations could also be subjected to administrative monetary penalties of up to the greater of $10 million and the amount corresponding to 3% of gross global revenue for the preceding fiscal year.

Regional Legislation is Also a Factor

If you’re doing business in Quebec, you must also comply with the Quebec Privacy Act, recently reformed by Bill 64, that includes an enforcement regime with potentially severe financial penalties for contraventions that are similar to CPPA.

Quebec’s legislation also requires organizations to create an internal policy suite to address the lifecycle of personal information they store and process.

Navigating data privacy legislation has become another cost of doing business – organizations are responsible for understanding which rules apply to them when operating across Canada and globally.

The many compliance obligations required by government privacy legislation can seem overwhelming, but a managed services provider can help you maintain the necessary IT infrastructure and best practices to secure and protect customer data.

There are many ways artificial intelligence (AI) and machine learning already impact cybersecurity. You can expect that trend to continue in 2024 – both as tools for data protection as well as a threat.

Balancing Cybersecurity Innovation Amid Evolving Threat Landscapes

Even as you implement AI and machine learning into your cybersecurity strategy through the adoption of tools like Security Orchestration, Automation, and Response (SOAR), Security Information and Event Management (SIEM) and Managed Detection and Response (MDR), so are threat actors. They will continue to update and evolve their own methodologies and tools to compromise their targets by applying AI and machine learning to how they use ransomware, malware and deepfakes.

With small and medium-sized businesses just much at risk as their large enterprise counterparts, SMBs must take advantage of AI and machine learning as mush possible. AI-directed attacks are expected to rise in 2024 in the form of deepfake technologies that make phishing and impersonation more effective, as well as evolving ransomware and malware.

Deepfake social engineering techniques

Deepfake technologies that leverage AI are especially worrisome, as they can create fake content that spurs employees and organizations to work against their best interests. Hackers can use deepfakes to create massive changes with serious financial consequences, including altering stock prices.

Deepfake social engineering techniques will only improve with the use of AI, increasing the likelihood of data breaches through unauthorized access to systems and more authentic looking phishing messages that are more personalized, and hence, more effective.

Countering Cyber Threats and Harnessing Innovation in 2024

If hackers are keen on leveraging AI and machine learning to defeat your cybersecurity, you must be ready to combat them in equal measure – just as AI and machine learning will create new challenges in 2024, they can also help you bolster your cybersecurity. While regulations are being developed to foster ethical use of AI, threat actors are not likely to follow them.

AI will also affect your cyber insurance as your providers will use it to assess your resilience against cyberattacks and adjust your premium payments accordingly. AI presents an opportunity for you to improve your cybersecurity to keep those insurance costs under control.

Conclusion

There’s a lot of doom being predicted around the growing use of AI and machine learning. And while it does pose a risk to your organization and its sensitive data, you can use it to bolster your cybersecurity even as threat actors leverage AI to up the ante. A managed service provider with a focus on security can help you use AI and machine learning to protect your organization as we head into 2024.

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