New Neurons Platform Updates from Ivanti
- By John K. Waters
Ivanti, a Salt Lake City-based provider of automated IT and security solutions, today announced two additions to its Neurons "hyper-automation" platform: Neurons for Patch Intelligence and Neurons for Spend Intelligence.
Launched in July in partnership with Intel, Ivanti's Neurons platform deploys automation bots to detect and resolve issues and detect security vulnerabilities in endpoints proactively. The platform was developed, Ivanti's chief product officer Nayaki Nayyar told ADTmag in an earlier interview, to address the enterprise challenges created by the rapid growth and complexity of devices, data, increasing cyber-security threats, and a multi-generational remote workforce with unified endpoint management.
"I've seen automation mature quite a lot over the past 25 years," she said. "But the last two years have seen a phenomenal leap with advances in AI/ML. And as remote becomes the new normal, auto-healing, securing and servicing endpoints and edge devices becomes a key priority for organizations. You can't afford not to take advantage of that technology to manage your endpoints proactively."
The Neurons platform takes organizations from basic automation to "a confluence of hyper-automation" powered by deep learning capabilities. Neurons was designed to deliver a self-healing, autonomous edge with contextual, anticipatory, and personalized experiences for remote workers, Nayyar said.
"Our latest additions to the Ivanti Neurons Platform for Patch and Spend Intelligence leverage our strength in patching to assess patch reliability and risk-based patch prioritization using supervised and unsupervised machine learning algorithms to automate vulnerability remediation and proactively manage software spend," she said in a statement.
The new Ivanti Neurons capabilities were designed to help reduce time-to-patch for an overall improved security posture. They also dramatically improve the asset deployment and reclamation process for IT operations and security teams to take action and collaboratively work. According to the company:
- Ivanti Neurons for Patch Intelligence was designed to enable organizations to achieve faster SLAs for their vulnerability remediation efforts via supervised and unsupervised machine learning algorithms. Drawing on the Ivanti patch management expertise, which deploys over 1.2 billion patch updates annually, Ivanti Neurons for Patch Intelligence helps users easily research, prioritize and receive better insights for patch management processes in one central location. Patch reliability data is automatically delivered with actionable intelligence pulled from thousands of public and crowdsourced sentiment data. This information provides improved patch reliability so security teams can act on threats faster and reduce their time-to-patch. A precise picture of the organization's threat landscape is provided through prioritized, risk-based metrics and feature-rich compliance dashboards. Ivanti Neurons for Patch Intelligence delivers highly accurate data that reduces the time it takes to respond to threats.
- Ivanti Neurons for Spend Intelligence provides insights into an organization's software landscape and application spend for on-premises, cloud, and edge environments to help improve operational speed and asset visibility, improve utilization and manage costs. Unlike complex software licensing tools, Ivanti Neurons for Spend Intelligence is easy and intuitive to use, with faster time-to-value. Within minutes, a detailed analysis of usage, licenses types, purchases, subscriptions, renewals and instances are presented in engaging dashboards to help users more effectively track usage, purchase history, upcoming renewals, contract expirations, and ongoing overall spend. Potential under and overspend issues and opportunities for automated reclamation are also highlighted, managing cost and reducing risk.
This update of the Neurons platform comes with additional enhancements, including broader out-of-the-box automation queries and actions to detect, diagnose and resolve issues, provide powerful data filtering to help IT make better decisions, and increase visibility through additional IT and non-IT devices and connector support.
John K. Waters is the editor in chief of a number of Converge360.com sites, with a focus on high-end development, AI and future tech. He's been writing about cutting-edge technologies and culture of Silicon Valley for more than two decades, and he's written more than a dozen books. He also co-scripted the documentary film Silicon Valley: A 100 Year Renaissance, which aired on PBS. He can be reached at [email protected].