The Internet of Things (IoT) has revolutionised various industries, from healthcare to automotive, and smart cities. With countless connected devices now managing critical operations, the need for robust cybersecurity measures has never been more crucial. As the IoT ecosystem continues to expand, new security risks and challenges emerge, demanding an in-depth understanding and effective strategies to address them.
Reverse engineering is one of the most notorious methods using which hackers exploit an application or software. If you're in the mobile app development industry and use Flutter for app development, you'd know the threat reverse engineering poses to apps. While 100% protection from reverse engineering isn't possible, you can give the hackers a tough time trying to exploit your app. And this blog is there to help.
Large language models (LLMs), such as ChatGPT, have gained significant popularity for their ability to generate human-like conversations and assist users with various tasks. However, with their increasing use, concerns about potential vulnerabilities and security risks have emerged. One such concern is prompt injection attacks, where malicious actors attempt to manipulate the behavior of language models by strategically crafting input prompts.
Back in 2015, we published an article about the apparent perils of driverless cars. At that time, the newness and novelty of sitting back and allowing a car to drive you to your destination created a source of criminal fascination for some, and a nightmare for others. It has been eight years since the original article was published, so perhaps it is time to revisit the topic to see if driverless cars have taken a better direction.
Imagine a world where managing thousands of connected devices is as easy as managing one. Welcome to the era of IoT device management! With the rapid growth of connected devices across various industries, IoT device management has become an essential aspect of maintaining security, efficiency, and scalability.
In today’s rapidly digitizing world, the importance of data security has become paramount. With the increasing amount of sensitive information being shared and stored online, securing information from cyber attacks, information breaches, and theft has become a top priority for companies of all sizes. Data loss prevention (DLP) is a critical part of the Netskope Intelligent Security Service Edge (SSE) security platform, providing best-in-class data security to our customers.
A new study found that ChatGPT can accurately recall any sensitive information fed to it as part of a query at a later date without controls in place to protect who can retrieve it. The frenzy to take advantage of ChatGPT and other AI platforms like it has likely caused some to feed it plenty of corporate data in an effort to have the AI process and provide insightful output based on the queries received.
A cloud-native application is specifically created to operate seamlessly within a cloud environment, taking advantage of cloud infrastructure and services to achieve top-notch performance, adaptability, and reliability. They use microservices instead of monolithic structures, allowing independent development and deployment. Microservices are hosted in containers, providing a lightweight and portable runtime environment.
