Sujith Taridalu

I’m a cybersecurity-focused graduate research assistant working on ERSATool, an R-based analytics web application that enables secure, reproducible workflows for 50+ users with consistent data handling across 7+ visualization modules. I also engineered cross-language execution between Python and R to manage artifact usage and dependency boundaries, reducing execution and supply-chain risks while staying compatible with the lab’s pipeline.

Before that, I built practical defenses through internships: hardening 20+ workstations with automated patch management and configuration baselines, segmenting networks with VLANs and Access Control Lists (ACLs) to stop lateral movement, and improving disaster recovery with encrypted backup processes that reduced Recovery Time Objective (RTO) risk by 50%. I strengthened IAM by administering Active Directory user lifecycles and Group Policies (GPOs) to achieve 100% compliance with the Principle of Least Privilege (PoLP) for critical file access.

I’m also hands-on with offensive and monitoring work. I conducted network enumeration across 5+ subnets using Nmap and validated findings with Nessus and SearchSploit, then performed active phishing simulations with GoPhish alongside passive OSINT. In my OpenClaw AI Agent Security research, I assessed prompt-injection, memory-poisoning, and privilege-escalation risks, built Bash-based defensive tools and reproducibility packages, and identified MEMORY.md as a high-risk self-replicating persistence vector—grounding my work in measurable, testable security outcomes.