Evidence-safe foundations
Improve structured findings, evidence classification, control retrieval, and predictable output handling.
Research-inspired · Development prototype
A clearer view of security risk.
Security insight shouldn't require navigating disconnected dashboards. ParadigmSec explores a simpler way to bring environment context, security controls, AI-assisted analysis, and remediation guidance together.
A technology initiative showcased by Vriddhi Consulting. Not a production security assurance service.
Evidence · Context · Action
THE ORIGIN
Designed for the teams doing more with less.
ParadigmSec grew out of a cybersecurity master's project at Augusta University. Its central idea is to give small and midsize organizations a single, understandable view of assets, services, and security concerns across selected cloud, private, and on-premises environments.
The longer-term vision combines automated, read-only discovery with evidence-backed risk analysis informed by established frameworks such as NIST CSF 2.0. The goal is to help people understand what matters, why it matters, and what to consider next.
WORKING PROTOTYPE
Making the workflow tangible.
Today, ParadigmSec demonstrates the core integration pattern through a functioning development prototype, not a complete automated security platform.
01
Describe
Capture environment context and assessment scope.
02
Interpret
Parse input into a structured view of the environment.
03
Analyze
Use AI reasoning with a limited NIST SP 800-53 control knowledge set.
04
Explain
Present security findings and proposed remediation for review.
Run a sample assessment ↗ No sign-in needed. Uses preloaded example environments, not your infrastructure.
Prototype boundary: Discovery paths currently include simulated telemetry. Control coverage is limited and evidence validation is being strengthened. Generated findings and remediation suggestions require human review and must not be treated as verified production assessments.
WHERE WE'RE HEADED
Build trust before automation.
The focus is on disciplined engineering, with evidence quality and human oversight preceding any operational remediation.
Real discovery
Develop read-only provider discovery and trace each result to observed assets and source evidence.
Broader standards and governance
Expand framework mapping, including NIST CSF 2.0, with reviewed remediation workflows and controls.
EXPLORE FURTHER
Explore a sample security assessment.
Try a self-contained, interactive walkthrough of the Cyber Portal concept without creating an account or connecting your infrastructure. The actual AI assessment engine remains in development.