Automated Vulnerability Remediation

Automated vulnerability remediation is the process of automatically identifying, prioritizing, and resolving vulnerabilities through technology. 

• It streamlines manual remediation workflows like patch deployment, configuration, and reporting, allowing security teams to address risks and threats with minimal human intervention. 
• It can help improve incident response time, reduce exposure time, and lower the chance of human error.

Automated vulnerability remediation is the last phase of automated vulnerability management. When a vulnerability has been identified and prioritized, an automated remediation solution executes the necessary fixes. 

Assuming an organization is not using separate automated vulnerability remediation tools, the process may look something like this:

1. An organization evaluates its assets and resources for vulnerabilities through a combination of pre-production scanning and continuous monitoring.  
2. When a vulnerability is detected, it’s analyzed to determine the level of risk it represents to the organization. 
3. The vulnerability is prioritized according to its severity, the criticality of the assets it affects, and available threat intelligence. 
4. A ticket is opened to track the vulnerability and remediation actions. 
5. Predefined fixes for the vulnerability are immediately and automatically applied. These may include configuration changes, patching, changes to security controls, or isolation of vulnerable components.
6. The software evaluates affected assets, closing any associated tickets if the vulnerability has been properly resolved. 
7. If the vulnerability has been remediated, the software automatically generates a report. If it has not, it may notify the security team that human intervention is required.  
8. The organization may review details about the vulnerability management process, including reported fixes, compliance status, and metrics such as resolution time.

Automated vulnerability remediation can fill in the gaps for a business that either lacks a pre-existing vulnerability management program or lacks the resources for manual remediation. 

Companies with rapidly-scaling cloud infrastructure may also benefit from the ability to automatically identify and address vulnerabilities in new assets. 

Lastly, integrating vulnerability management and remediation into CI/CD pipelines can help a business develop and design more secure products without slowing down releases.

What are examples of automated remediation?

Examples of automated remediation include: 

• Operating system or software updates. 
• Intrusion prevention rules to temporarily block exploits when a patch is unavailable. 
• Script hardening. 
• Implementing a new firewall policy. 
• Isolating infected or insecure assets from the network. 
• Generating a service desk ticket with recommended remediation steps. 
• Automatically merging fixes into CI/CD pipelines. 

What is AI-guided vulnerability remediation?

AI-guided vulnerability remediation uses artificial intelligence to generate actionable recommendations for resolving misconfigurations and vulnerabilities. Compared to automated vulnerability remediation, AI-guided remediation tends to be more dynamic and context-aware. 

It typically requires more oversight than automated remediation, though some platforms offer both. 

What are the main advantages of automating vulnerability management?

The benefits of vulnerability management automation include: 

• Faster response times through real-time detection and identification. 
• More accurate, efficient vulnerability prioritization. 
• Less chance of human error during both discovery and remediation. 
• Security teams are free to focus on strategic initiatives rather than busywork. 
• Improved visibility into assets and infrastructure. 
• Immediate access to risk and remediation details about emerging vulnerabilities. 
• A more transparent vulnerability management process with streamlined reporting.