Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

As more organizations collectively progress toward adopting a SASE architecture, it has become clear that the traditional SASE market definition (SSE + SD-WAN) is not enough. It forces some teams to work with multiple vendors to address their specific needs, introducing performance and security tradeoffs. More worrisome, it draws focus more to a checklist of services than a vendor’s underlying architecture.

Artificial Intelligence tools such as Bard, ChatGPT, and Bing Chat are the current big names in the Large Language Model (LLM) category which is on the rise. LLMs are trained on vast data sets to be able to communicate by using everyday human language as a chat prompt. Given the flexibility and potential of LLMs, companies are integrating them into many workflows inside the tech industry to make our lives better and easier.

Protecting cloud-based applications and workloads requires robust security solutions such as CSPM, CIEM and CWPP. CNAPP tries to answer all 3 but how do you know which solution is right for your specific organization? Ava Chawla, AlgoSec’s Global Head of Cloud Security unravels the differences between them and shares her expert opinion on the solution that offers the most value for organizations.

Left to their own devices, your organization’s devices can be a significant source of risk. Consider operational technology (OT), which is crucial for organizations but is not engineered and operated with a security-first mindset. Often, OT systems are beyond the purview of CISOs and are focused on meeting key objectives for system uptime and efficiency – leaving them vulnerable.

Criminal threat actors are increasingly utilizing generative AI tools like ChatGPT to launch social engineering attacks, according to researchers at Check Point. “Malicious spam is one of the oldest illicit services found on underground cybercrime forums,” the researchers write. “Spam is the most common initial vector for various attack scenario objectives such as phishing and credential harvesting, malware distribution, scams/fraud, etc.

Cybercriminals live on the cutting edge of technology, and nothing fits the label more than artificial intelligence. It helps them design sophisticated, evolving malware, pose as higher-ups, and even successfully imitate biometrics like one’s voice. The use of AI in cyber security has developed as a natural response to these new and unpredictable challenges. How are cyber security experts using artificial intelligence to thwart the bad guys?

CloudCasa, the software-as-a-service solution for backup and recovery of Kubernetes and cloud native database workloads, has come a long way since its early days.

Being online can offer much freedom, and we are fortunate enough to have a wealth of resources to manage our lives online. Too many options can sometimes make us feel stuck in a box, and we look for alternatives that balance freedom and security. One such example of finding a solution to manage your online life is cloud storage. There are many options to consider, but many people will choose their preferred operating system cloud provider, sacrificing ease of use for the privacy of their data.