Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

By James Rees, MD, Razorthorn Security In the rapidly evolving world of cybersecurity, artificial intelligence (AI) and large language models (LLMs), have become buzzwords that seem to promise revolutionary solutions. However, as with any emerging technology, it’s crucial to separate hype from reality.

The advent and widespread acceptance of Large Language Models (LLMs), such as Microsoft Copilot, by organizations and even average consumers has created another surface threat area that cybersecurity teams must come to understand. To help with this process, Trustwave SpiderLabs conducted a Red Team exercise against a licensed version of Microsoft Copilot.

The Health Insurance Portability and Accountability Act (HIPAA) safeguards patient data. Hospitals, clinics, insurance providers, and other healthcare facilities must adhere to these stringent rules. De-identification enables healthcare data to be used in meaningful research. It enables data to be analyzed to provide improved healthcare. It does this without violating personal privacy. This balance is critical to fuel innovation and ethically manage data.

Artificial intelligence (AI) is revolutionizing most, if not all, industries worldwide. AI systems use complex algorithms and large datasets to analyze information, make predictions and adjust to new scenarios through machine learning – enabling them to improve over time without being explicitly programmed for every task.