Brunda Venkatesh

• Analyzed security risks in AI code-generation tools (Kiro, Claude Code) and map them to the OWASP Top 10. • Created security guidelines for AI-assisted development, including code reviews, dependency scanning, and secure deployment. • Designed AI testing methodology through project reverse-engineering and specification-based replication to assess code generation accuracy • Identified security gaps by comparing original implementations against AI-recreated systems

• Deploy and image Windows systems, supporting device onboarding and user access configuration. • Automate software installation and administrative tasks using PowerShell, reducing manual setup effort by 65%. • Administer Active Directory for user and group management, including account provisioning, access changes, and de-provisioning. • Support faculty and staff with Microsoft 365 access, collaboration tools, and endpoint configuration. • Troubleshoot identity, login, and permission issues while maintaining detailed documentation through ServiceNow.

• Automated IAM provisioning using Terraform Infrastructure as Code ensuring policy-driven access control across AWS environments. • Streamlined Terraform deployments using GitHub Actions CI/CD pipelines, reducing deployment time by 85%. • Provisioned cloud infrastructure with Terraform including EC2 instances, VPC, Security Groups, and S3 permissions. • Integrated AWS IAM with Microsoft Entra ID (Azure AD) and on-premises Active Directory via SAML/OAuth2/OIDC federation, enabling seamless SSO, MFA enforcement, and RBAC across hybrid cloud and enterprise applications. • Managed bulk user, group, and access provisioning across Active Directory using PowerShell scripts, reducing provisioning errors by 90% and provisioning time by 60%. • Configured CloudTrail and CloudWatch for identity monitoring and audit logging, improving incident response times by 70%, maintained 95% SLA compliance with a 2-hour average resolution time. • Built Python scripts to automate bulk IAM policy validation and drift detection across 200+ AWS accounts, improving audit turnaround time by 50%. • Conducted quarterly IAM access reviews, permissions cleanup, and remediation activities in collaboration with security teams, ensuring compliance with SOC 2 and ISO 27001 standards. • Led escalated identity incident response as technical SME, coordinating cross-functional teams for rapid containment and remediation.

• Supported identity lifecycle management including onboarding, role changes, and de-provisioning across Active Directory, Microsoft Entra ID and Microsoft 365 Exchange. • Implemented SSO, SAML/OAuth federation, RBAC and MFA enforcement to secure hybrid cloud access. • Automated bulk user, group, and access provisioning across AD using PowerShell, reducing provisioning errors by 90%. • Monitored and resolved password reset requests and account lockout issues, maintaining average resolution time under 15 minutes

Courses: Advanced DBMS, Cloud Architecture, Cloud Security and OPs , Network Forensics, Security Compliance, System development, Advanced Information Security Clubs: Women in STEM Arizona outdoors club

Courses: Programming for problem solving (C), object oriented programming, Python Programming, Database Management System, Data structures and algorithms. Major Project : IOT based Sewage monitoring system It provides a system which describes various functions used for monitoring of sewage level in manholes. If the drainage system gets blocked and sewage water overflows it can be identified by the sensor system. And hence required action could be taken by the personnel to clear the blockage.