What You Will Learn
- How synthetic data strengthens cybersecurity and data protection
- 3 ways synthetic data simplifies regulatory compliance
- Addressing PIPEDA, Law 25, and GDPR mandates
Market volatility shows no end in sight. When you pair this with intense pressure to deliver sustainable revenue, the demand for companies to unlock the wealth of information at their fingertips can reach feverish heights.
So it’s not surprising that synthetic data is a hot topic right now.
As privacy regulations intensify, its ability to safely stand in for “real” data in analysis, training, and predictive scenarios has leaders eyeing an investment.
It’s even estimated that “by 2030, synthetic data will help companies avoid 70% of privacy violation sanctions by reducing the need for personal customer data collection.”
Elevate Your Cybersecurity Strategy with Synthetic Data
Saying that data security is priority #1 for organizations across all industries is obvious.
What isn’t as obvious is how companies can use synthetic data to successfully balance this critical requirement with urgent demand for data-driven insights in the pursuit of competitive advantage.
Already, businesses are required by global and local governments alike to adhere to increasingly strict data protection regulations around:
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Preventing unauthorized access to customer data
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Ensuring transparency for data collection, storage, and use
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Individual control over personal data; opt-in/opt-out choices for secondary usage
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Mechanisms for breach notifications and compliance audits
To ensure compliance, organizations must limit data access. But in doing so, they also limit their ability to leverage comprehensive data analysis to foster innovation.
Synthetic data acts as a bridge, breaking down barriers to data access while preserving data protection. In this way, it becomes a key security asset.
"Synthetic data serves as a valuable, but often unrecognized, component of a strong data protection and cybersecurity strategy. Protecting customer data is good business and it’s good for business. In fact, companies should go farther to actively promote their use of synthetic data as an example of public stewardship."
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Our latest whitepaper has all the insights you could ask for >
3 Ways Synthetic Data Streamlines Compliance
Synthetic data retains the properties of real-world data. But it’s just that: synthetic.
It mimics actual production data, without exposing it. By doing so, it allows organizations to finally access and analyze all of the valuable information they’ve collected, without fear of data leaks or corruption.
The result? Three distinct advantages in the drive to balance privacy and progress:
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Minimized Risk of Exposure or Breach.
By eliminating the need to access real production data (which may contain personally identifiable information, or PII), organizations greatly reduce the chance of data compromise and resulting regulatory or mitigation implications.
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Reduce Compliance Restrictions.
Personal data must be closely tracked and managed. On the other hand, synthetic data can be freely used for analysis (or other purposes) without the need for consent tracking, opt-out mechanisms, or regulatory reporting.
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Secure AI Training and Model Testing.
Given the absence of PII within synthetic data, organizations can use it for AI model training and testing without worry of privacy law non-compliance or sensitive data exposure.
“Quality synthetic data usage amplifies the effectiveness of AI model training while reducing the inherent stigma and customer concerns associated with unethical source input. Even better, it encourages organizations to adhere to the spirit—and not just the letter—of data privacy laws.”
Regulatory Frameworks Addressed by Synthetic Data
To give you a better idea of how using synthetic data can help you comply with data privacy requirements, here’s a brief list of the regulations and acts you’re likely to face.
CANADA
Personal Information Protection and Electronic Documents Act (PIPEDA)/Consumer Privacy Protection Act (CPPA): PIPEDA specifically focuses on the consent, security, and transparency of data; CPPA was proposed as a replacement to further strengthen individual control of personal data. Synthetic data eliminates the need for consent or reporting under both.
Ontario’s Freedom of Information and Protection of Privacy Act (FOIPPA): Governs access to public data, requiring that it be secured, used responsibly, and disclosed transparently. Synthetic data replaces real data in public data sets, preserving privacy.
Quebec Law 25: Stipulates stricter privacy protections around breach notification, privacy officer appointment, Privacy Impact Assessments (PIAs), consent rules, and right to data erasure & portability. Synthetic data adheres to portability and erasure requirements without requiring user consent.
UNITED STATES
California Privacy Rights Act (CPRA): Expands and strengthens the California Consumer Privacy Act (CCPA) with regard to right to rectification, right to restriction, and enhanced protections for sensitive data. When used in analytics and AI applications, synthetic data removes the need for consumer opt-ins or data restriction tracking.
EUROPEAN UNION
General Data Protection Regulation (GDPR): Focuses on strict data protection laws regulating data collection, usage, and sharing, particularly related to data minimization, user consent, and breach notification. Synthetic Data lets businesses use customer data for insights and AI training while remaining GDPR-compliant.
Deploy Secure Data Solutions with Expert IT Talent
Navigating the intersection of AI innovation and privacy law requires specialized expertise. At S.i. Systems, we connect you with the senior data architects and compliance experts needed to build a secure, synthetic-led future. Contact us today.
