Smart Automation - with Human Control

Agentic Vulnerability Management

Mondoo's AI agents continuously monitor your entire IT environment for vulnerabilities and compliance violations, score and prioritize them, decide on remediation steps, patch issues, and verify success - all with the level of human oversight that you feel comfortable with.

Smarter, faster vulnerability
management

Attackers are leveraging Agentic AI to speed up their attacks, cutting down the time needed to exploit vulnerabilities. That’s why it’s critical for organizations to close security gaps as fast as possible. That is exactly what Mondoo does.

Agentic Prioritization

Mondoo agents continuously detect vulnerabilities and misconfigurations in the environment and prioritize them based on contextual risk factors, business impact, threat intelligence, and exploitability.

Agentic Orchestration

Mondoo ensures that the entire vulnerability workflow from detection to resolution is automated with minimal human oversight. This ensures that the critical risks are fixed at machine speed, leaving your security team to focus on more strategic initiatives.

Agentic Remediation

Mondoo agents perform autonomous patching using the Mondoo security pipeline and Ansible and Terraform remediation code. Versioning and rollback options are included, and all remediation code is pre-tested by humans.

How does Agentic Vulnerability Management work?

Mondoo’s autonomous AI agents orchestrate the entire vulnerability workflow end-to-end by proactively analyzing, prioritizing, and responding to security vulnerabilities with minimal human intervention, unlike traditional methods that rely on static rules or manual tasks.

Ask Mondoo chat agent questions such as:

“Fix my 5 most critical vulnerabilities and report back.”
“Why is this CVE critical on my Windows servers?”
“Have we applied Microsoft Patch Tuesday everywhere?”
“Do I have this CVE in my environment”
“Send me a report on our PCI-DSS compliance status”

Why Mondoo Agentic
Vulnerability Management?

Quality of data

AI is only as good as the data it uses. Mondoo’s patented AI-native security model includes detailed insights on all cloud and on-prem assets and their configurations, relationships, installed software, exposures, contextual risks, and business-criticality.

Pre-tested

All remediation code is pre-tested (including Ansible, Terraform, Intune, CloudFormation, and any scripts) and verified by humans so you can rest assured that remediations are safe and reliable.

Guardrails

Mondoo allows you to set limits on the autonomy of AI agents, including granular exceptions for assets, CVEs, and environments, customizing acceptable risk levels, and specifying human control levels for different use cases.

Rollback

Mondoo’s remediation pipeline includes versioning and rollback options, so that if something doesn’t go as planned, it’s easy to instantly go back to a previous state.

Transparency

Blindly giving up control is never desirable. Mondoo uses a fully transparent security pipeline based on tried and tested, easy to use, open source technologies, including GitHub, Ansible, Terraform, and Intune that allow engineers to see exactly what is happening and which code is about to be applied.

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Customer
success story

"The Mondoo agentic vulnerability patching with Ansible integrated in our Github environment is really taking our infrastructure as code to another level. With the continuous scan of our assets and the automated creation of remediation pull requests we are now able to fix vulnerabilities without much effort. The "Renovate Bot"-style approach integrates neatly into our existing workflows. Furthermore it is reducing maintenance efforts to a single click."

Alexander Voss, DevOps Engineer at Agido

Agentic Vulnerability Management FAQs

  • How is Mondoo’s Agentic Vulnerability Management different?

    Even though vendors may describe seemingly identical processes and technologies, under the hood, there are important differences between each system. There are several factors that make Mondoo stand out from other solutions: (1) Quality of data: Width and depth of Mondoo’s insights on the IT infrastructure, (2) Pre-tested: All remediation code is pre-tested by humans (3) Guardrails: Granular exceptions, scoping, and human control levels. (4) Transparency: Use of Policy as Code and open source technologies such as Ansible and Terraform, (5) Rollback: Remediation pipeline includes versioning and rollback.

  • What are the benefits of Agentic Vulnerability Management?

    The benefits are both operational and strategic, including dramatically reduced MTTR, higher accuracy in triage, better scalability, 24/7 operation, reduced friction between security and IT teams, and a stronger compliance posture.

  • I’m not sure if we’re ready for Agentic Vulnerability Management

    Transitioning to Agentic vulnerability management is not like switching on a light, but a gradual process. Start with low priority systems, then move on to specific use cases with human oversight. Monitor results. If everything is working as intended, start expanding scope. Make sure that the agentic system is transparent and provides roll back if necessary.

  • I don’t have a GitOps pipeline

    No problem. Mondoo handles all the GitOps setup and creates all the Ansible, Terraform, and Intune code for you.

  • I don’t use Ansible

    No problem. Mondoo handles all the GitOps and Ansible setup. No prior knowledge of Ansible is necessary.

  • Is Mondoo Agentic Vulnerability Management secure?

    As with all systems, when deploying AI it’s important to use a secure and transparent architecture, enable thorough logging, and monitor events. By restricting agent permissions to only what is necessary for completing assigned tasks, risks can be kept to a minimum. Further guardrails, such as allowing users to interrupt or shut down Agentic AI systems when necessary, and conducting regular audits on the agents and their actions can also build confidence and trust.

Want to learn more?

We don’t just tell you what’s wrong.
We actually fix it.

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