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RemOps AI Engine

Tailored Remediation Plans Built with AI, ML and LLM Technology

The Seemplicity Platform uses our RemOps AI Engine and RemOps Data Fabric to build a tailored remediation plan for each organization and each Development and Operations team doing remediation work.

The RemOps AI Engine is a scalable framework that uses Artificial Intelligence techniques, including Machine Learning and Large Language Models, to operate on the RemOps Data Fabric and build remediation plans that optimize and accelerate remediation. The RemOps AI Engine leverages context found in code repositories, tickets and other unstructured data sources, and combines that with prioritization, ownership and work cadence information (e.g., sprint timing and patching windows).

RemOps AI Engine in Action:


In addition to transforming findings data into fixes, the RemOps AI Engine ensures Development and Operations teams see the information relevant for them in their remediation plans by developing tailored data views into the Data Fabric.


Assists in building clear, concise, and actionable remediation plans that incorporate multiple prioritization factors, business and technical risk context, and remediation owner identification.


Helps maximize cross functional collaboration by supporting ticket queues and updating the Data Fabric with remediation validation and exception details.


Learns from remediation progress, exceptions, and SLA compliance to support stakeholder communication.

The RemOps Data Fabric

Constructed from findings drawn from the organization’s security testing solutions, including scanners and penetrations tests, and from IT Service Management (ITSM) tools such as ticketing systems and configuration management databases (CMDB). The RemOps Data Fabric collects and consolidates this data and transforms it into actionable information by normalizing and deduplicating findings.

Seeing is Believing

See how Seemplicity RemOps
can work for you