Red Teaming | Breaking Cybersecurity News | The Hacker News

Microsoft has released an open access automation framework called  PyRIT  (short for Python Risk Identification Tool) to proactively identify risks in generative artificial intelligence (AI) systems. The red teaming tool is designed to "enable every organization across the globe to innovate responsibly with the latest artificial intelligence advances," Ram Shankar Siva Kumar, AI red team lead at Microsoft,  said . The company said PyRIT could be used to assess the robustness of large language model (LLM) endpoints against different harm categories such as fabrication (e.g., hallucination), misuse (e.g., bias), and prohibited content (e.g., harassment). It can also be used to identify security harms ranging from malware generation to jailbreaking, as well as privacy harms like identity theft. PyRIT comes with five interfaces: target, datasets, scoring engine, the ability to support multiple attack strategies, and incorporating a memory component that can either take the

If you are thinking about performing a penetration test on your organization, you might be interested in learning about the different types of tests available. With that knowledge, you'll be better equipped to define the scope for your project, hire the right expert and, ultimately, achieve your security objectives. What is penetration testing? Penetration testing, commonly referred to as "pen testing," is a technique that simulates real-life attacks on your IT systems to find weaknesses that could be exploited by hackers. Whether to comply with security regulations such as ISO 27001, gain customer and 3rd party trust, or achieve your own peace of mind, penetration testing is an effective method used by modern organizations to strengthen their cyber security posture and prevent data breaches.  Read about the different types of penetration testing to find out which type you can benefit from the most: Network penetration testing As the name suggests, a network penetra

Identities now transcend human boundaries. Within each line of code and every API call lies a non-human identity. These entities act as programmatic access keys, enabling authentication and facilitating interactions among systems and services, which are essential for every API call, database query, or storage account access. As we depend on multi-factor authentication and passwords to safeguard human identities, a pressing question arises: How do we guarantee the security and integrity of these non-human counterparts? How do we authenticate, authorize, and regulate access for entities devoid of life but crucial for the functioning of critical systems? Let's break it down. The challenge Imagine a cloud-native application as a bustling metropolis of tiny neighborhoods known as microservices, all neatly packed into containers. These microservices function akin to diligent worker bees, each diligently performing its designated task, be it processing data, verifying credentials, or