Job Type: Full-time

Remote: Remote

TD SYNNEX (NYSE: SNX) is the world's largest IT distributor,adopting AI at speed across Azure AI Foundry, AWS Bedrock, CopilotStudio, Databricks, and self-hosted agent environments. Oursecurity model is runtime-first: instead of blocking AI adoptionwith slow approvals, we intercept, analyze, and enforce at themoment of execution - which means high-quality monitoring, triage,analytics, and reporting are what keep the systemhonest.As our AI and Cloud Security Analyst,you provide day-to-day L2 coverage of the AI security detectionfabric - triaging and supporting investigation of AI-specificdetections from runtime defense, behavioral/intent monitoring,model-security, and adversarial-testing platforms. You turn thattelemetry into insight through data analytics and produce the OCR(operational, compliance, and risk) reporting that givesleadership, control owners, and auditors a continuous picture of AIand cloud risk. You also help monitor the security posture of ourAzure, AWS, and GCP environments. You escalate to a dedicated L3engineer and work alongside two AI & Cloud SecurityArchitects.The analyst will report to AI &Cloud; Security leadership and have strong working relationshipswith other Cybersecurity, IT and application developmentteams.ResponsibilitiesL2coverage of the AI Security toolset. Monitor AI securitydetections across the detection fabric - runtime defense/AIDRevents, intent and behavioral anomalies, model-level detections,and adversarial-testing signals. Validate detections, classifyseverity and impact, propose and implement policy updates, andescalate complex cases to L3 with complete, reusablecontext.Investigate AI-specificevents across all five AI archetypes (embedded SaaScopilots, low-code/no-code agents, homegrown agentic pipelines,device-based coding agents, homegrown models): direct and indirectprompt injection, jailbreaks, sensitive-data leakage, RAG poisoningindicators, unauthorized MCP/tool activity, agent hijacking, androgue or overprivileged agent behavior - using prompt/responselogs, decision traces, identity context, and agent inventorydata.Support the AIasset-intelligence layer: help maintain agent inventoryhygiene, ownership attribution, MCP registry accuracy, andrisk-scoring context that feeds runtime enforcement decisions andfast-track approval workflows.Dataanalytics. Query and correlate AI and security telemetry(KQL), identify anomalies and attack patterns, and build/maintaindashboards tracking the program's key metrics - detection volumes,runtime containment rate, mean time to detect/contain/resolve,agent-visibility coverage, approval-SLA performance, and toppolicy-violation categories - feeding tuning recommendations backto the L3 engineer.OCR reporting(operational, compliance, and risk). Produce recurringdashboards and executive summaries communicating AI-securityposture, KPIs, and trends to stakeholders and control owners;support automated NIST AI RMF compliance evidence generation andaudit/regulatory reporting,



including EU AI Act-related evidencefor EU scope.Maintain rigorous casedocumentation and shift/handover notes; contribute observedpatterns to detection-rule tuning, runbook refinement, and theclosed-loop improvement cycle (red-team findings → policy anddetection updates → re-test validation).Buildworking fluency in the OWASP Top 10 for LLM Applications 2025, theOWASP Top 10 for Agentic Applications, and MITRE ATLAS as theshared investigation taxonomy.Monitor andtriage cloud security alerts across Azure, AWS, and GCP fromcompany CSPM platform - misconfigurations, security risks, exposedresources, excessive permissions, workload threats - and route,remediate, or escalate per playbook.Supportcloud compliance monitoring and reporting against CIS Benchmarksand NIST 800-53 r5 / CSF 2.0 baselines, tracking remediation toclosure and integrating cloud posture into the consolidated OCRreporting. Support L3 engineer with policyupdates.Assist with cloud workloadvulnerability triage (VMs, containers, images) and with Microsoft365 / Google Workspace security-signalreview.Partner with the L3 engineer, SOC,cloud teams, and incident responders on investigations andenrichment spanning cloud, identity, endpoint, and AItelemetry.CriticalSkillsSolidsecurity operations fundamentals: alertmonitoring, triage, validation, incident classification,escalation, and case management against SLAs, working from runbooksin a follow-the-sun/handover model.Strongdata analytics and reporting: KQL (and/or SQL)for querying and correlation; dashboard and report development; theability to turn telemetry into clear, decision-ready operational,compliance, and risk reporting.FoundationalAI/GenAI security awareness: LLM risks (promptinjection, jailbreaks, data leakage), agentic AI and MCP concepts,AI guardrails, and familiarity with the OWASP LLM Top 10 and MITREATLAS. Exposure to AI security platforms is a strongplus.Working knowledge of cloud security in atleast one of Azure/AWS/GCP (multi-cloud exposure preferred),including CSPM/CWPP concepts and cloud identitybasics.Scripting for automation and enrichment(PowerShell and/or Python).Familiarity withCIS Benchmarks and NIST (800-53, CSF); awareness of NIST AI RMF andthe EU AI Act is beneficial, particularly for EU-basedcandidates.Analytical rigor, attention todetail, and clear English communication across a globallydistributed team spanning multiple timezones.ExperienceSOC,security operations, cloud security, or security-analyst role withhands-on monitoring, triage, and investigation experience; exposureto AI/GenAI security is anadvantage.Demonstrable experience producinganalytics, dashboards,



and reporting fromsecurity telemetry for technical and executiveaudiences.Experience supporting compliance oraudit evidence collection (NIST, CIS, ISO, or similar) is aplus.Certifications are an advantage, notmandatory: CompTIA Security+, CySA+, SC-200, SC-900,AZ-500, AWS or GCP security/foundational credentials;AI-security coursework or credentials are aplus.Bachelor's degree in Cybersecurity,Information Technology, Computer Science, or equivalent practicalexperience.WorkingconditionsWilling to worknonstandard business hours for projects, business impact issues andincident response.Some travelrequired.Flexible remotework.At Tech Data, a TD SYNNEXCompany, our values guide everything we do: Together, We Own It, WeDare to Go, We Grow and Win, and above all, We Do the Right Thing.These principles shape how we work with each other, our partners,and our communities as we drive innovation and create lastingimpact.What's In It ForYou?ElectiveBenefits: Our programs are tailored to your country tobest accommodate your lifestyle.GrowYour Career: Accelerate your path to success (and keep upwith the future) with formal programs on leadership andprofessional development, and many more on-demandcourses.Elevate Your PersonalWell-Being: Boost your financial, physical, and mentalwell-being through seminars, events, and our global LifeEmpowerment AssistanceProgram.Diversity, Equity &Inclusion;: It's not just a phrase to us; valuing everyvoice is how we succeed. Join us in celebrating our globaldiversity through inclusive education, meaningful peer-to-peerconversations, and equitable growth and developmentopportunities.Make the Most of ourGlobal Organization: Network with other new co-workerswithin your first 30 days through our onboardingprogram.Connect with YourCommunity: Participate in internal, peer-led inclusivecommunities and activities, including business resource groups,local volunteering events, and more environmental and socialinitiatives.Don'tmeet every single requirement? Apply anyway.At Tech Data, a TD SYNNEX Company,we're proud to be recognized as a outstanding place to work and a leaderin the promotion and practice of diversity, equity and inclusion.If you're excited about working for our company and believe you'rea good fit for this role, we encourage you to apply. You may beexactly the person we're looking for!We are anequal opportunity employer and committed to building a diverse teamthat represents and empowers a variety of backgrounds,perspectives, and skills. All qualified applicants will receiveconsideration for employment based on merit, without regard torace, colour, religion, national origin, gender, gender identity orexpression, sexual orientation, protected veteran status,disability, genetics, age, or any other characteristic protected bylaw. To support our diversity and inclusion efforts, we may ask forvoluntary gender disclosure information. This data will be usedsolely to improve our hiring practices and ensure fair treatmentfor all candidates.

📌 AI and Cloud Security Analyst (Chennai)
🏢 Tech Data
📍 Chennai