Deployment boundaries
ReAgent supports air-gapped, on-premises, and customer-managed cloud deployment patterns when the customer security team defines that boundary.
Security and Privacy
ReAgent is an orchestration and analyst workflow platform for reverse-engineering and binary-analysis work. Customer security teams retain control of model placement, compute infrastructure, storage, and network boundaries.
Deployment boundaries
These are supported deployment patterns, not a blanket assurance that any specific environment is already accredited. Each environment is scoped with the customer security team.
ReAgent supports air-gapped, on-premises, and customer-managed cloud deployment patterns when the customer security team defines that boundary.
The customer-managed model placement approach keeps selected language models and compute infrastructure inside the customer deployment boundary. Models and compute are provided by the customer.
The human review path stays tied to artifacts, code units, logs, and analyst context so a person can review the path before using the result.
Secure storage can include binary samples, analysis artifacts, notes, generated documentation, and workflow context inside the selected environment.
Analyst workflow
Secure storage can include binary samples, analysis artifacts, notes, generated documentation, and workflow context inside the selected environment.
Customer-selected language models can run inside the customer deployment boundary. Language models and compute infrastructure are not included in platform pricing and are provided by the customer.
Because model placement is customer-managed, Worthify supports orchestration, review workflow, and analyst handoff while the customer security team keeps control of the environment.
Claim limits
Worthify does not claim autonomous vulnerability discovery.
ReAgent does not replace analysts or reverse engineers.
Worthify does not claim ReAgent improves every binary review equally.
Worthify does not claim ReAgent is ready for every secure environment.
AI output is treated as assistance that must stay reviewable against the underlying artifact.
Security questions
A scoped engagement can cover data flow, retention, logging, access control, model hosting, and export-controlled inputs.