AI & GenAI Security

AI scribes are being adopted quickly across healthtech, and in most cases the product delivers. Very few deals fail at the product level. What stops them is the transition into IT and security review — where the conversation shifts from clinical value to data control, and where most vendors are underprepared.

ChatGPT Health aggregates, interprets, and centralises sensitive health data behind a single consumer account boundary. The encryption is real. The governance isn't. Here's what that means for security teams and healthcare organisations.

AI is transforming how biotech and longevity companies interpret biomarkers, blood panels, and genomics — but the moment your AI starts informing diagnosis or clinical decisions, it becomes a regulated medical device. This guide breaks down the regulatory line, FDA/MDR implications, PCCP, cybersecurity requirements, and how to build compliant AI systems without slowing innovation.

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.

Anthropic’s latest report reveals a state-sponsored intrusion in which an AI system executed nearly the entire attack lifecycle autonomously. Using Claude Code, the threat actor automated reconnaissance, exploitation, credential harvesting, lateral movement, and data extraction at machine speed. This incident signals a major shift in how organisations must think about intrusion risk, detection windows, identity security, and continuous defence.

AI won’t replace cybersecurity professionals—but it will reshape how we defend. From automated alert triage to governance oversight, discover how human-AI collaboration will transform security operations, risk management, and compliance.

The EU AI Act, effective since August 2024, introduces the world’s first comprehensive legal framework for artificial intelligence. It defines strict obligations for high-risk AI systems, foundation models, and deployers across sectors like healthcare, finance, and legaltech. This guide breaks down what the Act requires, who it applies to, and how organizations can prepare for compliance — including cybersecurity, documentation, and conformity assessments.

When we talk about “AI hacking,” we mean ethical testing — probing a system’s prompts, tools, data paths, and model behavior to uncover...

Learn how to build secure GenAI architectures in HealthTech. Avoid HIPAA/GDPR pitfalls with identity, data, and compliance guardrails.

How can generative AI be used in cybersecurity? Practical uses in pentesting/AppSec, compliance automation, key tools, risks (phishing, prompt injection), and best practices.

The need for cybersecurity innovation has never been greater than today. However, not all cybersecurity companies are rising to the...