Businesses are using hybrid cloud environments more and more to get flexibility and scalability, so making sure they are secure becomes a top concern. The hybrid cloud mixes resources from both public and private clouds, making operations more efficient than ever. But this connected design also brings with it a lot of complicated risks, like data breaches, wrong configurations, and people getting in without permission.

ChatGPT is proving to be something of a double-edged sword when it comes to cybersecurity. Threat actors employ it to craft realistic phishing emails more quickly, while white hats use large language models (LLMs) like ChatGPT to help gather intelligence, sift through logs, and more. The trouble is it takes significant know-how for a security team to use ChatGPT to good effect, while it takes just a few semi-knowledgeable hackers to craft ever more realistic phishing emails.

Cloud environments comprise hundreds of thousands of individual components, from infrastructure-level containers and hosts to access-level user and cloud accounts. With this level of complexity, continuous and end-to-end visibility into your environment is vital for detecting, prioritizing, and fixing vulnerabilities before attackers can take advantage of them.

In today’s complex cloud environments, security and engineering teams need to manage vulnerabilities and misconfigurations across multiple layers of the stack, including cloud resources, clusters, containers, and applications. Often, this results in a lengthy list of problems that lacks prioritization and is daunting for users to address.

Managing sensitive information in your telemetry data poses many challenges to governance, risk management, and compliance (GRC) teams and overall security. Organizations in healthcare, finance, insurance, and other fields must carefully adhere to strict compliance requirements. But sensitive data comes in many forms and moves between many endpoints, and as a result, it can easily become exposed in telemetry data.

Identity and access management (IAM) systems are necessary for authenticating and authorizing access to your environment. However, their mismanagement is one of the leading causes of breaches and insider threats today. Engineering teams must rapidly provision identities and permissions to keep pace with infrastructure growth—consequently, the ratio of non-human or machine identities to every human identity is also increasing at a substantial rate.

The landscape of cloud computing has evolved significantly over the years, transforming how businesses operate and innovate. This transformation has brought new challenges, especially in security. The growing adoption of cloud services, microservices architecture, and the shared responsibility model of cloud vendors has ushered in a need for robust security solutions that consolidate risk and threat data across cloud environments.

For some, Black Friday conjures images of parasite-infected shoppers running amok in a mall. (Rotten Tomatoes gives the movie a 65% rating). For bargain hunters, it is a whirlwind of unbeatable deals and frenzied shopping sprees. Thanksgiving Day, Black Friday and Cyber Monday are the year’s biggest days for American merchants. The hype has crossed borders.

An overview of a fuzzing project targeting the Hyper-V VSPs using Intel Processor Trace (IPT) for code coverage guided fuzzing, built upon WinAFL, winipt, HAFL1, and Microsoft’s IPT.sys.