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KRGI

Securing Assessments & Examinations on AWS

Short Description

KRGI, a higher education institution, required a secure, governed, and automated AWS
environment for its Assessments & Examinations application. By leveraging AWS
Control Tower, IAM Identity Center (SSO), MFA, SCPs, CloudTrail, and Security Hub,
the institution implemented a cloud-native governance and security model that ensures
compliance, transparency, and exam integrity while reducing operational overhead.

Problem Statement / Definition

KRGI’s examination platform was initially deployed in a fragmented AWS setup without
standardized governance or centralized security. This posed several risks:

Access Management Gaps: Lack of unified IAM and MFA led to credential misuse concerns.

Audit & Compliance Challenges: No centralized logging, weak enforcement of CIS
controls, and limited exam activity visibility.

Operational Inefficiency: Manual provisioning of exam environments delayed assessment readiness.

Governance Risks: No preventive guardrails or SCPs, increasing risk of data
exposure and mis configurations.

The institution required a multi-account, secure, and automated landing zone with built
in governance to safeguard student data, meet compliance benchmarks, and streamline
exam operations.

Project Info

  • Client:

    KRGI

  • Services:

    Securing Assessments & Examinations on AWS

  • Category:

    EduTech

Proposed Solution & Architecture

Governance & Landing Zone Setup

Identity & Access Management

Monitoring & Compliance

CloudOps & Automation

Outcomes of Project & Success Metrics

TCO Analysis Performed

Lessons Learned

MFA + SSO adoption was critical to reduce credential risks and secure exam access.

Preventive SCPs and Guardrails minimized misconfigurations before deployment.

Org-wide CloudTrail with log integrity validation ensured accountability for exam
activities.

Automation (AFT + IaC) accelerated environment setup and improved exam
readiness.

Balancing strict compliance vs. user flexibility required careful tuning of IAM
policies for faculty.