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Key Topics Covered:
📌 Data Privacy Isn’t Static
Startups must understand that data privacy obligations shift as their business grows and data types evolve. Whether handling personal health information (PHI), sensitive personal data, or data sourced internationally, companies must align with state-specific privacy laws and prepare for broader federal regulations that may soon emerge.
🔒 Cybersecurity Requires Proactive Planning
Jason emphasized the need for robust cybersecurity controls early on—even for pre-revenue startups. He discussed how vendor selection, staff training, and best practices (such as those from AWS) play a crucial role in protecting data, ensuring audit-readiness, and safeguarding IP.
🤖 AI Risks Extend Beyond Technology
Generative AI and ML models bring efficiency—but also introduce risk. Improper use of public LLMs like ChatGPT can accidentally disclose confidential information, jeopardize IP, or even violate partner contracts. Jason advised establishing internal policies that govern employee use of AI tools to protect data and maintain compliance.
🌐 International Data Considerations
With many startups sourcing datasets globally, Jason warned of cross-border regulatory issues, including EU GDPR, China’s data protection laws, and future U.S. tariff policies. Businesses must weigh the legal and logistical implications of using non-U.S. data sources.
🧠 Training Is Non-Negotiable
Finally, Jason highlighted the importance of regular staff training. Many data breaches are due to human error—not technical failure. Educating teams on privacy, security, and responsible AI use is essential to reducing risk and maintaining trust.
PTP is an AWS Life Sciences Competency Partner trusted by fast-growing biotech organizations to manage cloud operations with compliance in mind.