NinjaOne has announced NinjaOne AI for Patch Sentiment, a new artificial intelligence (AI) feature that makes customers more efficient and resilient. The company also announced the appointment of Joel Carusone to Senior Vice President of Data and AI. Carusone will drive innovation and lead NinjaOne’s AI product development.

Endpoint growth is accelerating, and these devices pose huge security risks. According to ESG, more than three-quarters of organisations have experienced a cyberattack that started from the exploit of an unknown, unmanaged, or poorly managed endpoint.* Patching, which is crucial for strengthening an organisation’s security posture, has historically been cumbersome because IT teams need to manually monitor, research, and test available patches before deploying.

NinjaOne AI for Patch Sentiment reduces patch-related risk by leveraging generative AI to provide comprehensive sentiment analysis for Windows KB updates. It also streamlines the patch management process, making IT teams more efficient. The new feature’s benefits include:

• More Informed Decision Making – NinjaOne AI for Patch Sentiment provides detailed insights and community feedback, helping IT teams determine when to deploy or delay patches, reducing the risk of applying problematic updates that could disrupt operations.

• Reduced Patch-Related Risks – NinjaOne AI for Patch Sentiment identifies potentially risky patches, allowing IT teams to avoid security vulnerabilities or compatibility issues before they impact the organisation.

• Improved Efficiency – IT teams save time by quickly understanding the potential impact of patches without needing to manually research or test each update, allowing them to dedicate more resources to other critical and strategic work.

“NinjaOne cut the time we spend patching in half,” said John Jenkins, Systems Administrator and Network Analyst at Plexis LTD. “Patching is a critical practice for our organisation’s resilience, but it had previously been a complicated and tedious effort. NinjaOne AI for Patch Sentiment simplifies how we prioritise the patches we deploy, which makes us more secure and productive. NinjaOne is an unmatched business enabler, and their team continues to listen to and act on our biggest challenges without putting our organisation at risk.”

NinjaOne Appoints Carusone to Lead NinjaOne Data and AI

Doubling down on its commitment to customer success, NinjaOne hired Carusone as SVP of Data and AI. As a proven technical leader with an aptitude for innovation, Carusone will oversee the research, development, and deployment of secure AI technology practices inside NinjaOne and closely partner on AI-related product development. Previously, Carusone served as Chief Technology Officer at Zeno Technologies, where he oversaw product innovation and development for the energy-focused software development company. Before that, he was CEO of Radius Intelligence, an enterprise data platform company acquired by SoftBank-backed Kabbage, which in 2019 became part of American Express. Carusone holds degrees in biology and information sciences from Syracuse University.

“We are excited about the possibilities and potential of AI, but we’re being thoughtful in how and where we’re infusing it within our products and inside of NinjaOne. This means having a deep understanding of our customers’ greatest challenges, performing ongoing research, and doing substantial beta testing,” said Sal Sferlazza, CEO and co-founder at NinjaOne. “By welcoming Joel to our team and introducing NinjaOne AI for Patch Sentiment, we’re illustrating our ongoing commitment to our customers to deliver innovations that drive success for their organisations without introducing added risk.”

“It has never been more challenging – or important – to work in IT, which is why I’m excited to build products for this industry amongst the exceptional team at NinjaOne,” said Carusone. “We are actively working on AI projects that will make our customers more productive and secure. NinjaOne AI for Patch Sentiment is a perfect illustration of our philosophy – AI should be intentional, responsible, and solve a specific customer challenge.”