When NinjaOne launched Patch Intelligence AI on October 24, 2024, it laid the groundwork for the platform to enhance and further automate the NinjaOne Patch Management solution. This feature debuted on our 6.0 platform and product updates and has since become a significant contributor to customers’ success.
A milestone moment: Patch Intelligence AI live stream
On October 25, 2024, during a live stream demonstration, NinjaOne Senior Product Manager Chris Williams shared some key functionality of the then newly released AI-driven tool. He explained that AI-driven sentiment analysis improves patch decision-making, streamlines Windows patching with contextual insights, and ensures smoother updates by proactively identifying potential risky patches.
One of the key highlights during the live webinar was the testimonial of NinjaOne customer Dave Szpunar, CEO and owner of Servant 42, an MSP based just outside Indianapolis. He experienced a bottleneck when end users were encountering frequent application crashes and black screen issues when logging into Azure Virtual Desktop (AVD) sessions, particularly among non-admin users. These problems were linked to Windows update KB5044273, which was intended to fix them but instead introduced new complications.
Thanks to Patch Intelligence AI, the problem was identified, and KB5044273 was flagged as problematic. This helped Szpunar’s team to:
- Quickly identify the root cause
- Communicate the issue and resolution path to affected clients
- Resolve the problem across their customer environments before it escalated
Szpunar said the patch sentiment flag for KB5044273 showed him these problems and the resolution path, enabling his team to explain and resolve the problem quickly across his customer base.
You can read more about these issues in this blog. For other updates, visit our Microsoft KB Catalog page.
The continuous evolution of Patch Intelligence AI
Since its launch, Patch Intelligence AI has been receiving significant refinements throughout major releases.
Release
- Generative AI was integrated into Patch Intelligence AI to:
- Provide a summarized context for Windows KB updates, expounding on what each patch does and its historical impact.
- Aggregate community feedback on Windows KB updates to offer a comprehensive sentiment analysis.
- Patch Scan and Apply API was also added to:
- Allow technicians to manage patch scanning and application programmatically.
- Apply updates through an external API.
Release 8.0
- NinjaOne focused on Patch Scan and Apply improvements by:
- Enhancing automation and scripting capabilities outside of policy schedules.
- Allowing administrators to have greater control over patching.
- Enabling technicians and IT teams to run on-demand scans and updates, and deploy essential updates without disrupting users.
Release 9.0
NinjaOne’s latest release introduced AI-Assisted Patch Approvals to further enhance Patch Intelligence AI by:
- Automatically identifying and flagging high-risk or problematic patches before deployment through existing policies.
- Preventing known bad patches from being applied reduces the need for manual rollbacks across environments.
- Allowing technicians to mark patches with ‘Known Issues’ as ‘Manual’ or ‘Reject’ for investigation and delayed application until cleared.
Get a firsthand look at the latest Patch Intelligence AI enhancements as our Field CTO, Jeff Hunter, showcases the powerful new capabilities in this live demo for NinjaOne Release 9.0.
Staying Ahead of the Patch Management Curve
As we progress in this AI-driven endpoint management landscape, NinjaOne is dedicated to continuously leveraging the latest technology to enhance vital features. Patch Intelligence AI will get better in time while we hold on to our promise of simplifying the most complex parts of IT. We’re committed to ensuring your patching strategy remains robust, efficient, and ahead of emerging threats.
Get a free trial or watch a Patch Intelligence AI demo to see what NinjaOne automated endpoint and patch management can do for you.
