
Claude Code Security: The pros and cons
The new tool is a step forward on AI coding risk — but it trips on modern threats because it looks only at source code.
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. |

The new tool is a step forward on AI coding risk — but it trips on modern threats because it looks only at source code.

AI coding is a game-changer — and requires AI-powered application security to fight fire with fire.

AI coding is the new reality — and it will further destabilize software supply chain security. So step up your AppSec.