Last week (19-July-2024), a significant IT outage occurred because CrowdStrike distributed a faulty update to its Falcon security software running on millions of computers using the Microsoft Windows operating system. This faulty update caused many of these computers to crash, which interrupted the operations of businesses across the globe.

Depending on how you use it, ChatGPT can be safe. However, to protect yourself and your data, you should be aware of some security risks. These risks include concerns over privacy, shared data with third-party sources, copycat ChatGPT websites and apps and the tool’s tendency to generate misinformation.

The shift to AI-integrated software development isn’t just a trend; it's a fundamental change that’s reshaping industries and redefining the future of technology. This shift brings both revolutionary potential and formidable cyber challenges. Cyber challenges that King Charles III even addressed in the proposals of his King’s Speech on July 17. As we plunge into the AI era, we must understand how these changes are unfolding and what they signify for technological advancement.

Attackers are increasingly targeting vulnerabilities within large language models (LLMs) used to recognise and generate text. In response to the growing risk, the recently launched OWASP Top 10 for LLMs covers the key vulnerabilities within these types of AI applications. Read our guide to learn more about the most critical vulnerabilities and how to reduce AI security risks.

Personally Identifiable Information (PII) encompasses data that uniquely identifies an individual. Examples of PII include direct identifiers like full names, social security numbers, driver's license numbers, and indirect identifiers such as date of birth, email and IP addresses. The precise nature of PII can vary depending on the context and jurisdiction, but its defining characteristic is its ability to single out a specific person.

In the ever-evolving landscape of AI, maintaining compliance standards and ensuring secure usage of generative AI applications remains an important priority for enterprises. Across the globe, regulatory frameworks like the European Union’s AI Act have been established to ensure that AI systems are developed and deployed in a manner that prioritizes safety, transparency, ethics, and fundamental rights.

In the world of cybersecurity, AI-powered threats are creating new challenges for organizations.