Action1 | Breaking Cybersecurity News | The Hacker News

In this day and age, vulnerabilities in software and systems pose a considerable danger to businesses, which is why it is essential to have an efficient vulnerability management program in place. To stay one step ahead of possible breaches and reduce the damage they may cause, it is crucial to automate the process of finding and fixing vulnerabilities depending on the level of danger they pose. This post will discuss the fundamental approaches and tools to implement and automate risk-based vulnerability management. To make this process easier, consider using an  all-in-one cloud-based solution  right from the start. Implementing a risk-based vulnerability management program A risk-based vulnerability management program is a complex preventative approach used for swiftly detecting and ranking vulnerabilities based on their potential threat to a business. By implementing a risk-based vulnerability management approach, organizations can improve their security posture and reduce the lik

It's no secret that keeping software up to date is one of the key best practices in cybersecurity. Software vulnerabilities are being discovered almost weekly these days. The longer it takes IT teams to apply updates issued by developers to patch these security flaws, the more time attackers have to exploit the underlying vulnerability. Once threat actors gain access to corporate IT ecosystems, they can steal or encrypt sensitive data, deploy ransomware, damage systems, and more. When there's a known exploit for a critical vulnerability, the need to deploy patches becomes critical. At the same time, while IT teams race to keep their operating systems, business applications, and web browsers up to date and fully patched, they have to exercise caution, since applying patches without proper testing can introduce more problems than it solves. The reality is, many organizations are struggling to maintain the upper hand against threats. According to Action1's  2021 Remote IT

The introduction of Open AI's ChatGPT was a defining moment for the software industry, touching off a GenAI race with its November 2022 release. SaaS vendors are now rushing to upgrade tools with enhanced productivity capabilities that are driven by generative AI. Among a wide range of uses, GenAI tools make it easier for developers to build software, assist sales teams in mundane email writing, help marketers produce unique content at low cost, and enable teams and creatives to brainstorm new ideas.  Recent significant GenAI product launches include Microsoft 365 Copilot, GitHub Copilot, and Salesforce Einstein GPT. Notably, these GenAI tools from leading SaaS providers are paid enhancements, a clear sign that no SaaS provider will want to miss out on cashing in on the GenAI transformation. Google will soon launch its SGE "Search Generative Experience" platform for premium AI-generated summaries rather than a list of websites.  At this pace, it's just a matter of a short time befo