Cloud-native services are increasingly relied on for building and running applications rather than having on-premise data centers. This is because it is more economical in terms of security, maintenance, and capacity. Cloud-native security is an important consideration for users since the protection of the codes, applications, and customers’ data is heavily dependent on it.
These days, mobile devices are integral to the way we work, and many employees spend their days switching between their phones and their computers. While most organizations have a robust cybersecurity strategy in place to protect their laptops and corporate networks, mobile devices are often left underprotected. And that’s a big problem because mobile devices are frequently faced with risks like phishing attacks and operating system vulnerabilities.
In an era where technology advances at breakneck speed, the corporate world finds itself facing an evolving and insidious threat: deepfakes. These synthetic media creations, powered by artificial intelligence (AI) algorithms, can convincingly manipulate audio, video, and even text - posing significant risks to businesses, their reputation, and their security. To safeguard against this emerging menace, a forensic approach is essential.
Say hello to Ruby, your new Generative AI companion for the Rubrik Security Cloud. Ruby is designed to simplify and automate cyber detection and recovery, something that IT and Security teams struggle with as cyber incidents are getting wildly frequent and the attacks are evolving quickly. A study by Rubrik Zero Labs revealed that 99% of IT and Security leaders were made aware of at least one incident, on average of once per week, in 2022.
Since the start of Bitcoin in 2009, the popularity and prevalence of cryptocurrencies has exploded, resulting in a net worth of over $1 trillion that continues to grow. Cryptocurrency—held in virtual wallets—is obtained by users who purchase coins on a cryptocurrency exchange, receive coins as payment from someone else, or “mine” coins virtually themselves.
