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Team Overview

At TransUnion, we have a welcoming and energetic environment that encourages collaboration and innovation – we’re consistently exploring recent technologies and tools to be agile. This setting gives our people the opportunity to hone current skills and build new capabilities, while discovering their genius.

Come be a part of our team – you’ll work with great people, pioneering products and cutting-edge technology.

This is a hybrid position and involves regular performance of job responsibilities virtually as well as in-person at an assigned TU office location for a minimum of two days a week.

Role Overview And Core Responsibilities

Key Responsibilities
AI & LLM Guardrails and Agent Security
Enterprise Guardrails: Design, implement, and enforce LLM guardrails across user/desktop applications and cloud-hosted settings to prevent prompt injection, data exfiltration, and toxic outputs.
AI Agent Security: Architect and implement secure execution boundaries, sandboxing, and identity/access management (IAM)



frameworks specifically tailored for autonomous cloud-hosted AI agents.
Threat Modeling: Conduct advanced threat modeling on LLM architectures, RAG (Retrieval-Augmented Generation) pipelines, and agentic workflows.
Cloud Security & Data Loss Prevention (DLP)
Multi-Cloud Engineering: Configure and maintain strict security postures across AWS and GCP environments hosting AI workloads.
Advanced DLP: Define, implement, and monitor robust Data Loss Prevention (DLP) policies across cloud infrastructures to ensure sensitive enterprise data is not inadvertently ingested or exposed by AI models.
DevSecOps & Pipeline Integration
CI/CD Automation: Integrate automated security scanning directly into enterprise deployment pipelines using orchestration tools like Harness .
Artifact Security: Manage and secure software packages, model weights, and dependencies within JFrog Artifactory , ensuri

📌 Advisor Ai Security Engineer Bengaluru
🏢 TransUnion
📍 Bengaluru