"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
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.
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.
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.
No problem. Mondoo handles all the GitOps setup and creates all the Ansible, Terraform, and Intune code for you.
No problem. Mondoo handles all the GitOps and Ansible setup. No prior knowledge of Ansible is necessary.
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.