To process your profile for the next steps of the hiring process, your profile needs to be added to the Virtusa career portal.

Kindly apply your profile on our career portal against to the given Job ID to schedule your interview for this role.

****Career Portal Link :https://www.virtusa.com/careers/job-search/global/en

Job IDs : P-103752

**Key Responsibilities:

- Assess agentic AI use cases, including LLM agents, tool/function calling, orchestration, and RAG, for prompt injection, data exfiltration, model abuse, unsafe tool invocation, and supply-chain risks.
- Support AI security guardrails, secure configurations, role/data scoping, allow/deny policies, reference architectures, and usage guidance.
- Administer and tune DLP controls across endpoints, email, collaboration platforms, cloud, and SaaS; monitor, triage, escalate, and remediate alerts with data owners and legal/privacy teams.
- Improve data classification and labelling and detect unsanctioned AI apps, risky plugins, browser extensions, shadow AI, and data uploads.
- Support investigations using agent logs, tool-call traces, and prompt/response histories; develop playbooks and AI security KPIs/KRIs.
- Contribute to AI policies, training, third-party due diligence, and vendor/SaaS assessments covering residency, retention, training-data controls, auditability, and transparency.

Required Qualifications:
- Foundational knowledge of agentic AI, RAG, prompt injection, leakage pathways,



DLP policies/classifiers/incident workflows, IAM, least privilege, network and SaaS security.
- Experience with at least one enterprise DLP/CASB/SSE platform, SIEM/EDR/cloud-security monitoring, or SaaS governance is required.
- Solid analytical, documentation, stakeholder communication, adaptability, and learning mindset are essential.

Desirable Skills:
- Exposure to LLM ecosystems, agent frameworks, vector stores, model gateways, prompt-injection and exfiltration patterns, DLP classifier tuning, EDM/IDM fingerprints, privacy requirements, SaaS risk assessments, Python/PowerShell, logs/JSON, and NIST AI RMF, ISO/IEC 23894, OWASP LLM guidance, or MITRE ATLAS.
- Success in the First Six Months Baseline sanctioned and unsanctioned AI usage; improve AI-focused DLP precision; publish secure AI guidance; implement initial detections/playbooks for prompt Information Protection Analyst (Agentic AI Focus) – 6Month OSP Engagement injection, risky tools, and abnormal data movement; and complete at least one AI vendor or solution risk assessment.
- Engagement Details OSP contractor; six months, with possible extension; hybrid/remote per terms.
- Limited on-call or incident-support windows may apply.
- Candidates should be comfortable with ambiguity, practical incremental improvement, and learning by doing while protecting sensitive data and enabling business value.**

📌 AI Security & Information Protection Analyst – Agentic AI (Bengaluru)
🏢 Virtusa
📍 Bengaluru