Security + Zero Trust Track
Scans legacy applications, integrations, and data flows for hardcoded secrets, insecure data paths, and access-control weaknesses.
Outcome: prioritized security hardening roadmap and control-gap summary.
Accessible Security Modernization
AI-Assisted Modernization for Federal + SLED Systems
Modernize legacy systems with one clear plan that improves security posture, accessibility outcomes, and delivery speed.
Public sector teams are asked to improve service quality while managing security risk, accessibility requirements, and technical debt in systems that cannot pause for large rewrites.
DANGUR is the guide for teams modernizing long-lived public sector systems where uptime, trust, and usability all matter.
Typical first engagement produces an actionable decision package within two weeks for suitable system scopes.
DMA is DANGUR's flagship modernization consult for public sector systems. It is configurable by priority mix, so agencies can focus on security, accessibility, technical debt, or a combined approach.
Inside DMA, the FedModernize AI Gateway serves as the analysis engine to accelerate discovery and turn findings into implementation-ready artifacts.
Scans legacy applications, integrations, and data flows for hardcoded secrets, insecure data paths, and access-control weaknesses.
Outcome: prioritized security hardening roadmap and control-gap summary.
Evaluates content rendering and user pathways to surface accessibility barriers across legacy and AI-assisted views.
Outcome: Section 508/WCAG remediation pathway and prioritized accessibility backlog.
Uses agentic AI to map dependency bottlenecks across legacy services, data pipelines, and critical modernization blockers.
Outcome: phased modernization sequence and refactoring plan aligned to mission priorities.
DMA deliverables include a prioritized modernization backlog, control and accessibility gap summaries, implementation sequencing, and decision-ready briefings for leadership and delivery teams.
Security and accessibility are not competing priorities. DANGUR plans them together so public sector teams can reduce risk while improving digital service delivery.
DANGUR pairs AI-first modernization methods with outcomes-driven delivery in federal environments and approaches transferable to SLED organizations.
Public sector organizations rely on complex legacy environments at scale. DANGUR helps teams move from unclear risk to an executable modernization plan.
Our AI-powered logic extraction accelerates architecture discovery, maps risk concentrations, and reduces manual documentation burden.
For suitable systems, this approach can reduce documentation effort by up to 85% and accelerate analysis timelines by up to 15x. Outputs are reviewed by engineers and packaged into auditable, implementation-ready recommendations.
Request a modernization assessment at dan@dangur.com or use the form below. We will align scope to security, accessibility, technical debt, or any combination.
What you get in the first call: