Autonomous patch management, powered by AI
NinjaOne automates patch deployment across your fleet, continuously correlates vulnerability data in real time, and flags unstable Windows updates for admin review.
Common patch management challenges
The following problems describe common patch management challenges, and how NinjaOne Autonomous Patch Management addresses them.
| Problem | How NinjaOne resolves it |
Unpatched vulnerabilities stay open too long when patching relies on manual review and scheduling. | NinjaOne automates patch identification, approval, and deployment across Windows, macOS, Linux, and 6,000+ third-party applications, so known vulnerabilities get closed faster. |
A single unstable update can cause more downtime than the vulnerability it was meant to fix. | For Windows patch policies, Patch Intelligence AI analyzes telemetry, vendor feedback, and deployment signals to flag unstable updates, so administrators can assess the risk and decide whether to approve, delay, or reject a patch before it rolls out broadly. |
Waiting for the next scheduled vulnerability scan delays remediation of newly disclosed threats. | NinjaOne’s built-in Vulnerability Management continuously correlates endpoint software state against real-time CVE and Known Exploited Vulnerability (KEV) intelligence, with no scan windows, and maps vulnerabilities directly to the patches that resolve them. Teams can also import data from external scanners, such as Tenable or Qualys, instead. |
Patching remote or off-network devices is difficult without VPN or on-premises infrastructure. | NinjaOne’s cloud-native, agent-based patching reaches endpoints anywhere, with optional patch caching for bandwidth-limited sites. |
Proving patch compliance for audits or leadership review takes manual effort to piece together. | NinjaOne’s patch activity log and compliance reporting show what’s been approved, deployed, or rejected, and when, from a single dashboard. |
NinjaOne Autonomous Patch Management capabilities
Faster time to remediation
Prioritized, automated patch deployment closes known vulnerabilities faster, shrinking the window of exposure.
Real-time exposure visibility
Continuous, scan-free correlation against CVE and KEV intelligence surfaces newly disclosed vulnerabilities immediately, instead of waiting for the next scheduled scan.
Fewer patch-related outages
Flagging unstable updates for review before broad rollout means fewer unplanned outages and support tickets tied to bad patches.
Less manual patch work
Automation across OS and third-party application patching frees IT teams from manually finding, testing, and applying updates.
Audit-ready compliance reporting
Patch activity logs and compliance reports give IT and compliance teams a clear record for audits, without piecing it together manually.
Patch Management Solutions & Features
Cross-platform patching
Patch Windows, macOS, and Linux, plus 6,000+ third-party applications, including WinGet application patching.
Patch Intelligence AI
For Windows patch policies, Patch Intelligence AI analyzes telemetry, vendor feedback, and deployment signals to flag unstable updates. Administrators can then apply the flagged patch manually or reject it.
Policy-based automation
Set preemptive patch approvals, configure approval overrides, deploy pre- and post-patch scripts, schedule deployments, and automatically wake devices for patch windows.
Reboot management
Automated reboot sequences and custom restart messages help minimize disruption to end users during patch deployment.
Cloud-native, agent-based architecture
Patch endpoints anywhere without requiring a VPN, domain, or on-premises infrastructure.
Patch activity log
Review a record of who approved, rejected, or deployed each patch, and when.
This is why customers love us
100,000
Endpoints managed
“NinjaOne is a scalable solution. It’s built on a modern SaaS architecture and it’s future-proof.”
40%
More Cost Effective
“NinjaOne’s price point is 40% less than any other endpoint management tool on the market, while being more powerful and easy to use.”
10-15
Tools Replaced
“Before, I needed 10-15 different tools to execute what NinjaOne does in its centralized, single pane of glass.”
30%
Less time for patching
“We observed a 30% reduction in the time taken for patch deployments compared to our previous solution.”
2,000
Endpoints managed
“NinjaOne gives me much more flexibility and security in my work”
30%
Annual ROI
“[NinjaOne] has already shown its value in ROI…it’s at least a hundred thousand dollars annually.”
24x
Faster Endpoint Management
“Our processes have become 24x faster with NinjaOne.”
20-40
Hours Saved Each Week
“Leveraging the automations feature within NinjaOne has enabled me to save upwards of what would likely be 20 to 30 to even 40 hours per week.”
How autonomous patch management works
I. Plan and configure
Administrators configure NinjaOne agent policies to enable patch management. Based on organizational requirements, they define patch scanning and installation schedules, pre- and post-patching automations, reboot options, and patch approval settings. Optionally, for Windows policies, they can set up Patch Intelligence AI approval overrides.
II. Enroll
Administrators deploy the NinjaOne agent to enroll devices in NinjaOne and enable centralized patch management.
III. Assess and deploy patches
NinjaOne scans managed devices for available OS and third-party patches according to configured schedules and installs approved patches. Administrators can leverage Patch Intelligence AI to assess patch risks and make informed approval decisions.
IV. Monitor and report
Administrators monitor patch deployment status, identify failed installations, and track patch compliance through NinjaOne dashboards, patch activity logs, and reports.
Integrations
Tenable
NinjaOne integrates with Tenable to import vulnerability scan data via CSV or automated scan groups, mapping CVEs to managed and unmanaged devices so they can be prioritized and remediated through patching.
Nanitor
NinjaOne integrates with Nanitor to import vulnerability and misconfiguration data, mapping it to managed devices so it can be prioritized and remediated through patching.
Why organizations trust NinjaOne Patch Management
Kansas City, a major U.S. city government managing more than 5,000 endpoints, uses NinjaOne Autonomous Patch Management to replace a patching process that previously took up to 72 hours.
“Previously, it would take up to 72 hours to identify vulnerabilities, test, and deploy patches. With NinjaOne, it's almost instantaneous.”
Cancer and Hematology Centers (CHC), Michigan’s largest physician-owned oncology and hematology practice, uses NinjaOne to keep patches current across servers and PCs while maintaining HIPAA compliance.
“NinjaOne patching is automatic. We can run reports showing what's been patched, and what hasn't been. Patching with NinjaOne has significantly reduced the vulnerabilities in our network.”
Rated #1 on G2
G2’s No.1-Rated Patch Management Software
Simple, reliable patching that works.
Madhu Dutta, Vice President IT
| NinjaOne | Average Ratings | |
| Likelihood to Recommend | 9.5 | 9.1 |
| Product Going in the Right Direction? | 9.8 | 9.1 |
| Ease of Admin | 9.3 | 9.0 |
| Ease of Doing Business With | 9.6 | 9.2 |
| Quality of Support | 9.3 | 9.1 |
| Ease of Setup | 9.3 | 8.9 |
| Ease of Use | 9.3 | 9.0 |
Try autonomous patch management with NinjaOne
See how NinjaOne automates patching and flags unstable Windows updates for review before broad rollout.
What is NinjaOne Autonomous Patch Management?
NinjaOne Autonomous Patch Management automates patch identification, prioritization, and deployment across Windows, macOS, Linux, and 6,000+ third-party applications. Vulnerabilities are continuously mapped to the patches that resolve them, and for Windows patch policies, Patch Intelligence AI flags unstable updates so administrators can reject or hold them before they disrupt operations, while approving the patches that are safe to deploy.
Does NinjaOne natively scan for vulnerabilities?
NinjaOne doesn’t rely on traditional scanning. Its built-in Vulnerability Management continuously correlates software inventory already collected by the NinjaOne agent against real-time CVE and Known Exploited Vulnerability (KEV) intelligence, server-side, with no scan windows or agent performance impact. It can also work alongside external vulnerability scanners, such as Tenable or Qualys, for organizations that want to keep using them.
What happens if a device is offline when a new vulnerability is disclosed?
NinjaOne preserves exposure intelligence by matching newly disclosed CVEs against the device’s last-known software state, so remediation can proceed as soon as it reconnects.
What is Patch Intelligence AI?
Patch Intelligence AI is an approval-override feature available for Windows policies. During patching, it analyzes telemetry, vendor feedback, and deployment signals to detect patches with known issues or cautions, and can override an automatic approval; administrators can then apply the flagged patch manually or reject it.
Which operating systems and applications does NinjaOne patch?
NinjaOne patches Windows, macOS, and Linux, plus 6,000+ third-party applications.
Does patching require a VPN or on-premises infrastructure?
No. NinjaOne uses cloud-native, agent-based patching that reaches endpoints anywhere, without requiring a VPN, domain, or on-premises infrastructure.
What is the difference between automated and autonomous patch management?
Automated patch management simplifies and accelerates patch deployment while letting IT teams configure policies, schedules, and approvals. Autonomous patch management builds on this with AI-driven stability analysis that flags risky patches for review, while IT teams still define the rules, assess the risk, and retain approval oversight.
What is patch caching?
Patch caching is a mechanism that stores downloaded patches on a designated Windows device, allowing other managed devices on the network to retrieve them locally instead of downloading the same patches individually from the internet. This reduces internet bandwidth consumption and improves patch deployment efficiency, particularly in bandwidth-constrained environments.
Unlike a WSUS server, a patch cache server can be any Windows machine running a supported Windows operating system. It only stores and distributes updates; patch approvals and deployment management remain centralized in NinjaOne.