Automox announced remarkable 5x growth in patch policy execution, with customers running over 1.3 billion policies in September, delivering massive reductions in their cybersecurity risk.
This achievement was driven by endpoint growth, product scalability, and increasing IT complexity. Automox customers are now remediating vulnerabilities with rapid patching at an unprecedented rate, five times greater than last year.
Given the dynamic nature and increasing reliance on digital systems, managing cybersecurity risk is more complex than ever. The volume of vulnerabilities has surged from hundreds to thousands, even millions, putting immense pressure on IT teams to act swiftly. Automox tackles this challenge head-on, enabling rapid patching and configuration to close attack windows and reduce attack surfaces, ensuring that bad actors can't exploit vulnerabilities they can't access.
According to Dark Reading, February 2024, “Managing risk is becoming much more complicated. With sprawling code and cloud assets, the number of vulnerabilities has surged from hundreds to thousands or even millions. Not only is the number of vulnerabilities skyrocketing, but the amount of time it takes to remediate a vulnerability is increasing as well, to an average of 270 days.”
Automox customers significantly drive down cybersecurity risks on Windows, macOS, and Linux endpoints. By reducing the mean time to patch (MTTP) by up to 80%, Automox empowers organizations to address security issues and vulnerabilities promptly before they turn into breaches and insurance claims.
Automox’s platform offers a comprehensive suite of IT automation tools, including automated patch management, vulnerability remediation, and policy enforcement across Windows, macOS, and Linux devices. With a cloud-native architecture, Automox eliminates the need for hardware, enabling fast, reliable deployment and scalability without the safety and reliability concerns of a kernel-level agent.
The Latest
Modernizing IT infrastructure has become essential for organizations striving to remain competitive. This modernization extends beyond merely upgrading hardware or software; it involves strategically leveraging new technologies like AI and cloud computing to enhance operational efficiency, increase data accessibility, and improve the end-user experience ...
AI sure grew fast in popularity, but are AI apps any good? ... If companies are going to keep integrating AI applications into their tech stack at the rate they are, then they need to be aware of AI's limitations. More importantly, they need to evolve their testing regiment ...
If you were lucky, you found out about the massive CrowdStrike/Microsoft outage last July by reading about it over coffee. Those less fortunate were awoken hours earlier by frantic calls from work ... Whether you were directly affected or not, there's an important lesson: all organizations should be conducting in-depth reviews of testing and change management ...
In MEAN TIME TO INSIGHT Episode 11, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses Secure Access Service Edge (SASE) ...
On average, only 48% of digital initiatives enterprise-wide meet or exceed their business outcome targets according to Gartner's annual global survey of CIOs and technology executives ...
Artificial intelligence (AI) is rapidly reshaping industries around the world. From optimizing business processes to unlocking new levels of innovation, AI is a critical driver of success for modern enterprises. As a result, business leaders — from DevOps engineers to CTOs — are under pressure to incorporate AI into their workflows to stay competitive. But the question isn't whether AI should be adopted — it's how ...
The mobile app industry continues to grow in size, complexity, and competition. Also not slowing down? Consumer expectations are rising exponentially along with the use of mobile apps. To meet these expectations, mobile teams need to take a comprehensive, holistic approach to their app experience ...
Users have become digital hoarders, saving everything they handle, including outdated reports, duplicate files and irrelevant documents that make it difficult to find critical information, slowing down systems and productivity. In digital terms, they have simply shoved the mess off their desks and into the virtual storage bins ...
Today we could be witnessing the dawn of a new age in software development, transformed by Artificial Intelligence (AI). But is AI a gateway or a precipice? Is AI in software development transformative, just the latest helpful tool, or a bunch of hype? To help with this assessment, DEVOPSdigest invited experts across the industry to comment on how AI can support the SDLC. In this epic multi-part series to be posted over the next several weeks, DEVOPSdigest will explore the advantages and disadvantages; the current state of maturity and adoption; and how AI will impact the processes, the developers, and the future of software development ...
Half of all employees are using Shadow AI (i.e. non-company issued AI tools), according to a new report by Software AG ...