
Think AI agents are risky? Try the underlying stack
To manage risk from agentic AI, organizations need to focus on the infrastructure they run on.
Patch management is identifying, acquiring, testing, and deploying software updates—commonly called patches—to fix known vulnerabilities, bugs, or performance issues in applications, operating systems, and firmware. It ensures systems remain secure, functional, and compliant with internal and external requirements.
Patch management is a foundational cybersecurity practice that helps organizations reduce their attack surface and protect against known exploits.
Unpatched software is one of the most common entry points for cyberattacks. Exploits targeting known vulnerabilities—often published in CVE databases—are readily available and widely used by threat actors. Without timely patching, organizations risk:
Patch management mitigates these risks by ensuring known issues are resolved before they can be exploited.
A robust patch management process typically includes:
Patch management tools often integrate with vulnerability scanners, ITSM platforms, and configuration management systems.
Term | Focus Area | Key Difference from Patch Management |
|---|---|---|
Vulnerability Management | Risk identification and analysis | Patch management is a component of the broader process. |
Configuration Management | System settings and baselines | Patch management focuses on software updates. |
Change Management | Control of IT changes | Patch management is one type of planned change. |
Threat Intelligence
External threat data |
Informs patch prioritization but doesn’t deploy fixes. |

To manage risk from agentic AI, organizations need to focus on the infrastructure they run on.

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