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Generative AI is transforming biotechnology — from drug discovery to genomics — but it is also creating a new class of cyberbiosecurity risks. As biological data, AI models, and laboratory systems converge, the attack surface expands beyond databases to the algorithms designing the next generation of medicine.

Discover what we learned analyzing 50 biotech companies in 2025 — including critical cybersecurity risks like insecure APIs, leaked credentials, and misconfigured environments. This report highlights real-world threats to genomic data, HIPAA/GDPR compliance, and patient trust, with practical steps for biotech and healthtech teams to improve their security posture.

Explore a real-world threat modeling example for a genomics platform using MITRE’s playbook, C4 diagrams, and STRIDE. A practical guide for healthtech and biotech security teams

Explore the anatomy of the 23andMe data breach, its impact on genomic privacy, and critical lessons for biotech security. This deep dive reveals how sensitive genetic data was compromised and what organizations must do to strengthen defenses.

Discover why scaling biotech companies must prioritize security and compliance. Learn when regulatory triggers like HIPAA, GDPR, and FDA guidelines come into play — and how proactive cybersecurity strengthens growth and partnerships.

Modern biotech startups  increasingly rely on cloud infrastructure  to power genomic data analysis  and deliver applications to users....